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If you know what I meande Weerd, Hermanes Albertus

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ReferencesAbell, F., Happé, F., & Frith, U. (2000). Do triangles play tricks? Attribution

of mental states to animated shapes in normal and abnormal development.Cognitive Development , 15 (1), 1–16.

Aiello, L. C., & Wheeler, P. (1995). The expensive-tissue hypothesis: The brainand the digestive system in human and primate evolution. Current Anthropol-ogy , 36 (2), 199–221.

Allen, C. (2014). Models, mechanisms, and animal minds. The Southern Journalof Philosophy , 52 (S1), 75–97.

Amodio, D. M., & Frith, C. D. (2006). Meeting of minds: The medial frontalcortex and social cognition. Nature Reviews Neuroscience, 7 (4), 268–277.

Anderson, J. R. (2007). How Can the Human Mind Occur in the Physical Uni-verse? Oxford, USA: Oxford University Press.

Apperly, I. A. (2010). Mindreaders: The Cognitive Basis of “Theory of Mind”.Hove, UK: Psychology Press.

Apperly, I. A., & Butterfill, S. A. (2009). Do humans have two systems to trackbeliefs and belief-like states? Psychological Review , 116 (4), 953–970.

Arslan, B., Hohenberger, A., & Verbrugge, R. (2012). The development of second-order social cognition and its relation with complex language understanding andmemory. In N. Miyake, D. Peebles, & R. P. Cooper (Eds.), Proceedings of the34th Annual Conference of the Cognitive Science Society (pp. 1290–1295).

Arslan, B., Taatgen, N., & Verbrugge, R. (2013). Modeling developmental tran-sitions in reasoning about false beliefs of others. In R. L. West & T. C. Stewart(Eds.), Proceedings of the 12th International Conference on Cognitive Modelling(pp. 77–83).

Arslan, B., Verbrugge, R., Taatgen, N., & Hollebrandse, B. (2014). Teachingchildren to attribute second-order false belief: A training study. In J. Szymanik& R. Verbrugge (Eds.), Proceedings of the Second Workshop Reasoning AboutOther Minds: Logical and Cognitive Perspectives, co-located with Advances inModal Logic, Groningen, The Netherlands (Vol. 1208, pp. 1–5).

211

212 References

Arslan, B., Verbrugge, R., Taatgen, N., & Hollebrandse, B. (2015). Teachingchildren to attribute second-order false beliefs: A training study with feedback.In D. Noelle et al. (Eds.), Proceedings of the 37th Annual Conference of theCognitive Science Society (pp. 108–113).

Arslan, B., Wierda, S., Taatgen, N., & Verbrugge, R. (2015). The role of simpleand complex working memory strategies in the development of first-order falsebelief reasoning: A computational model of transfer of skills. In N. Taatgen,M. van Vugt, J. Borst, & K. Mehlhorn (Eds.), Proceedings of the InternationalConference on Cognitive Modeling (pp. 100–105).

Axelrod, R. (1997). The Complexity of Cooperation: Agent-Based Models ofCompetition and Collaboration. Princeton, NJ: Princeton University Press.

Bach, C. W., & Perea, A. (2014). Utility proportional beliefs. InternationalJournal of Game Theory , 43 (4), 881–902.

Bacharach, M., & Stahl, D. O. (2000). Variable-frame level-n theory. Games andEconomic Behavior , 32 (2), 220–246.

Balter, M. (2012). ‘Killjoys’ challenge claims of clever animals. Science,335 (6072), 1036–1037.

Baron-Cohen, S., Leslie, A. M., & Frith, U. (1985). Does the autistic child havea “theory of mind”? Cognition, 21 (1), 37–46.

Barwise, J. (1989). On the model theory of common knowledge. In The Situationin Logic (pp. 201–220). Stanford, CA: CSLI Press.

Batzilis, D., Jaffe, S., Levitt, S., List, J. A., & Picel, J. (2014). How Facebook CanDeepen our Understanding of Behavior in Strategic Settings: Evidence from aMillion Rock-Paper-Scissors Games. (Unpublished manuscript)

Bello, P., & Cassimatis, N. (2006). Developmental accounts of theory-of-mindacquisition: Achieving clarity via computational cognitive modeling. In R. Sun(Ed.), Proceedings of the 28th Annual Conference of the Cognitive Science So-ciety (pp. 1014–1019).

Berninghaus, S. K., & Ehrhart, K.-M. (2001). Coordination and information:Recent experimental evidence. Economics Letters , 73 (3), 345–351.

Berthiaume, V. G., Shultz, T. R., & Onishi, K. H. (2013). A constructivistconnectionist model of transitions on false-belief tasks. Cognition, 126 (3), 441–458.

References 213

Bicchieri, C. (1988). Common knowledge and backward induction: A solutionto the paradox. In M. Y. Vardi (Ed.), Proceedings of the 2nd Conference onTheoretical Aspects of Reasoning about Knowledge (pp. 381–393).

de Bie, P., Scott-Phillips, T., Kirby, S., & Verheij, B. (2010). Using softwareagents to investigate the interactive origins of communication systems. InThe Evolution of Language: Proceedings of the 8th International Conference(EVOLANG8), Utrecht, Netherlands, 14-17 April 2010 (pp. 393–394). Singa-pore: World Scientific.

Billings, D. (2000). The first international RoShamBo programming competition.International Computer Games Association Journal , 23 (1), 42–50.

Binmore, K. (2007). Playing for Real. Oxford, USA: Oxford University Press.

Birch, S. A., & Bloom, P. (2007). The curse of knowledge in reasoning about falsebeliefs. Psychological Science, 18 (5), 382–386.

Blokpoel, M., van Kesteren, M., Stolk, A., Haselager, P., Toni, I., & van Rooij,I. (2012). Recipient design in human communication: Simple heuristics orperspective taking? Frontiers in Human Neuroscience, 6 (253).

Blutner, R. (2000). Some aspects of optimality in natural language interpretation.Journal of Semantics , 17 (3), 189–216.

de Boer, B. (2001). The Origins of Vowel Systems. Oxford, UK: Oxford UniversityPress.

Boesch, C. (1994). Cooperative hunting in wild chimpanzees. Animal Behaviour ,48 (3), 653–667.

Boesch, C., & Boesch, H. (1989). Hunting behavior of wild chimpanzees in the TaiNational Park. American Journal of Physical Anthropology , 78 (4), 547–573.

de Bono, E. (1998). Edward de Bono’s Super Mind Pack: Expand Your Think-ing Powers with Strategic Games & Mental Exercises. London, UK: DorlingKindersley Publishers Ltd.

Bowles, S., & Gintis, H. (2011). A Cooperative Species: Human Reciprocity andits Evolution. Princeton, NJ: Princeton University Press.

Boyd, R., Gintis, H., Bowles, S., & Richerson, P. J. (2003). The evolutionof altruistic punishment. Proceedings of the National Academy of Sciences ,100 (6), 3531–3535.

214 References

Boyd, R., & Richerson, P. J. (1992). Punishment allows the evolution of coop-eration (or anything else) in sizable groups. Ethology and Sociobiology , 13 (3),171–195.

Brafman, R. I., & Tennenholtz, M. (2003). Learning to coordinate efficiently: Amodel-based approach. Journal of Artificial Intelligence Research, 19 , 11–23.

Brandts, J., & Cooper, D. J. (2006). Observability and overcoming coordinationfailure in organizations: An experimental study. Experimental Economics , 9 (4),407–423.

Bratman, M. E. (1992). Shared cooperative activity. The Philosophical Review ,101 (2), 327–341.

Brown, G. W. (1951). Iterative solution of games by fictitious play. In T. Koop-mans (Ed.), Activity Analysis of Production and Allocation (pp. 374–376). NewYork: Wiley.

Brown, R. G. (1962). Smoothing, Forecasting and Prediction of Discrete TimeSeries. Englewood Cliffs, NJ: Prentice-Hall.

Bugnyar, T. (2010). Knower–guesser differentiation in ravens: Others’ viewpointsmatter. Proceedings of the Royal Society B: Biological Sciences , 278 (1705),634–640.

Bugnyar, T., & Heinrich, B. (2005). Ravens, Corvus corax, differentiate betweenknowledgeable and ignorant competitors. Proceedings of the Royal Society B:Biological Sciences , 272 (1573), 1641–1646.

Bugnyar, T., & Heinrich, B. (2006). Pilfering ravens, Corvus corax, adjust theirbehaviour to social context and identity of competitors. Animal Cognition,9 (4), 369–376.

Bugnyar, T., & Kotrschal, K. (2002). Observational learning and the raidingof food caches in ravens, Corvus corax : Is it ‘tactical’ deception? AnimalBehaviour , 64 (2), 185–195.

Bugnyar, T., & Kotrschal, K. (2004). Leading a conspecific away from food inravens (Corvus corax )? Animal Cognition, 7 (2), 69–76.

Bugnyar, T., Stöwe, M., & Heinrich, B. (2007). The ontogeny of caching in ravens,Corvus corax . Animal Behaviour , 74 (4), 757–767.

Burkart, J. M., Allon, O., Amici, F., Fichtel, C., Finkenwirth, C., Heschl, A.,et al. (2014). The evolutionary origin of human hyper-cooperation. NatureCommunications , 5 .

References 215

Burkart, J. M., Fehr, E., Efferson, C., & van Schaik, C. P. (2007). Other-regarding preferences in a non-human primate: Common marmosets provisionfood altruistically. Proceedings of the National Academy of Sciences , 104 (50),19762–19766.

Burkart, J. M., & Heschl, A. (2006). Geometrical gaze following in commonmarmosets (Callithrix jacchus). Journal of Comparative Psychology , 120 (2),120–130.

Burkart, J. M., & Heschl, A. (2007). Understanding visual access in common mar-mosets, Callithrix jacchus : Perspective taking or behaviour reading? AnimalBehaviour , 73 (3), 457–469.

Byrne, R. W., & Bates, L. A. (2010). Primate social cognition: Uniquely primate,uniquely social, or just unique? Neuron, 65 (6), 815–830.

Byrne, R. W., & Whiten, A. (Eds.). (1988). Machiavellian Intelligence: SocialExpertise and the Evolution of Intellect in Monkeys, Apes, and Humans. Oxford,UK: Oxford University Press.

Byrne, R. W., & Whiten, A. (1992). Cognitive evolution in primates: Evidencefrom tactical deception. Man, 27 (3), 609–627.

Call, J., Bräuer, J., Kaminski, J., & Tomasello, M. (2003). Domestic dogs (Canisfamiliaris) are sensitive to the attentional state of humans. Journal of Com-parative Psychology , 117 (3), 257–263.

Call, J., & Tomasello, M. (1999). A nonverbal false belief task: The performanceof children and great apes. Child Development , 70 (2), 381–395.

Camerer, C. F., Ho, T.-H., & Chong, J.-K. (2004). A cognitive hierarchy modelof games. The Quarterly Journal of Economics , 119 (3), 861–898.

Cangelosi, A., & Parisi, D. (2001). Simulating the Evolution of Language. Berlin:Springer.

Caramazza, A., Anzellotti, S., Strnad, L., & Lingnau, A. (2014). Embodied cogni-tion and mirror neurons: A critical assessment. Annual Review of Neuroscience,37 , 1-15.

Carruthers, P. (2008). Meta-cognition in animals: A skeptical look. Mind &Language, 23 (1), 58–89.

Chalmeau, R. (1994). Do chimpanzees cooperate in a learning task? Primates ,35 (3), 385–392.

216 References

Chalmeau, R., & Gallo, A. (1995). Cooperation in primates: Critical analysis ofbehavioural criteria. Behavioural Processes , 35 (1-3), 101–111.

Clayton, N. S., Dally, J. M., & Emery, N. J. (2007). Social cognition by food-caching corvids. the western scrub-jay as a natural psychologist. PhilosophicalTransactions of the Royal Society B: Biological Sciences , 362 (1480), 507–522.

Clements, W. A., & Perner, J. (1994). Implicit understanding of belief. CognitiveDevelopment , 9 (4), 377–395.

Clements, W. A., Rustin, C. L., & McCallum, S. (2000). Promoting the tran-sition from implicit to explicit understanding: A training study of false belief.Developmental Science, 3 (1), 81–92.

Cook, R., Bird, G., Lünser, G., Huck, S., & Heyes, C. (2012). Automatic imita-tion in a strategic context: Players of rock–paper–scissors imitate opponents’gestures. Proceedings of the Royal Society B: Biological Sciences , 279 (1729),780–786.

Costa-Gomes, M. A., & Crawford, V. P. (2006). Cognition and behavior intwo-person guessing games: An experimental study. The American EconomicReview , 96 (5), 1737–1768.

Costa-Gomes, M. A., Crawford, V. P., & Broseta, B. (2001). Cognition andbehavior in normal-form games: An experimental study. Econometrica, 69 (5),1193–1235.

Crawford, M. P. (1937). The Cooperative Solving of Problems by Young Chim-panzees. Kraus.

Crawford, M. P. (1941). The cooperative solving by chimpanzees of problemsrequiring serial responses to color cues. Journal of Social Psychology , 13 (2),259–280.

Crawford, V. P., & Iriberri, N. (2007). Fatal attraction: Salience, naïveté, andsophistication in experimental “hide-and-seek” games. American Economic Re-view , 97 (5), 1731–1750.

Crespi, B. J. (2001). The evolution of social behavior in microorganisms. Trendsin Ecology & Evolution, 16 (4), 178–183.

Dally, J. M., Emery, N. J., & Clayton, N. S. (2005). Cache protection strategies bywestern scrub-jays, Aphelocoma californica: Implications for social cognition.Animal Behaviour , 70 (6), 1251–1263.

References 217

Dally, J. M., Emery, N. J., & Clayton, N. S. (2006). Food-caching western scrub-jays keep track of who was watching when. Science, 312 (5780), 1662–1665.

Davies, M. (1994). The mental simulation debate. Philosophical Issues , 5 , 189–218.

Davis, M. H. (1983). Measuring individual differences in empathy: Evidence fora multidimensional approach. Journal of Personality and Social Psychology ,44 (1), 113–126.

Dennett, D. C. (1987). The Intentional Stance. Cambridge, MA: MIT Press.

Devaine, M., Hollard, G., & Daunizeau, J. (2014a). The social Bayesian brain:Does mentalizing make a difference when we learn? PLoS Computational Bi-ology , 10 (12), e1003992.

Devaine, M., Hollard, G., & Daunizeau, J. (2014b). Theory of mind: Did evolutionfool us? PloS ONE , 9 (2), e87619.

Devetag, G. (2005). Precedent transfer in coordination games: An experiment.Economics Letters , 89 (2), 227–232.

Dickinson, A. (2012). Associative learning and animal cognition. Philosophi-cal Transactions of the Royal Society B: Biological Sciences , 367 (1603), 2733–2742.

van Ditmarsch, H., van Eijck, J., & Verbrugge, R. (2009). Common knowledgeand common belief. In J. van Eijck & R. Verbrugge (Eds.), Discourses on SocialSoftware (pp. 99–122). Amsterdam: Amsterdam University Press.

van Ditmarsch, H., van der Hoek, W., & Kooi, B. P. (2007). Dynamic EpistemicLogic (Vol. 337). Berlin: Springer.

Dugatkin, L. A. (1997). Cooperation among Animals: An Evolutionary Perspec-tive. Oxford, UK: Oxford University Press.

Dunbar, R. I. (1992). Neocortex size as a constraint on group size in primates.Journal of Human Evolution, 22 (6), 469–493.

Dunbar, R. I. (1998a). Grooming, Gossip, and the Evolution of Language. Cam-bridge, MA: Harvard University Press.

Dunbar, R. I. (1998b). The social brain hypothesis. Evolutionary Anthropology ,5 (6), 178–190.

Dunbar, R. I. (2009). The social brain hypothesis and its implications for socialevolution. Annals of Human Biology , 36 (5), 562–572.

218 References

Dunbar, R. I., & Shultz, S. (2007). Evolution in the social brain. Science,317 (5843), 1344–1347.

Dunin-Keplicz, B., & Verbrugge, R. (2010). Teamwork in Multi-Agent Systems:A Formal Approach. Chichester, NY: Wiley.

Dykstra, P., Elsenbroich, C., Jager, W., Renardel de Lavalette, G. R., & Ver-brugge, R. (2013). Put your money where your mouth is: DIAL, a dialogicalmodel for opinion dynamics. Journal of Artificial Societies and Social Simula-tion, 16 (3), 4.

Dziubiński, M., Verbrugge, R., & Dunin-Keplicz, B. (2007). Complexity issues inmultiagent logics. Fundamenta Informaticae, 75 (1-4), 239–262.

Egnor, D. (2000). Iocaine powder. International Computer Games AssociationJournal , 23 (1), 33–35.

Emery, N. J., & Clayton, N. S. (2001). Effects of experience and social contexton prospective caching strategies by scrub jays. Nature, 414 (6862), 443–446.

Emery, N. J., Seed, A. M., von Bayern, A. M., & Clayton, N. S. (2007). Cognitiveadaptations of social bonding in birds. Philosophical Transactions of the RoyalSociety B: Biological Sciences , 362 (1480), 489–505.

Epstein, J. M. (1999). Agent-based computational models and generative socialscience. Complexity , 4 (5), 41–60.

Epstein, J. M. (2006). Generative Social Science: Studies in Agent-based Com-putational Modeling. Princeton, NJ: Princeton University Press.

Evans, A. D., & Lee, K. (2013). Emergence of lying in very young children.Developmental Psychology , 49 (10), 1958–1963.

Evans, J. S. B. T. (1984). Heuristic and analytic processes in reasoning. BritishJournal of Psychology , 75 (4), 451–468.

Fagin, R., Halpern, J. Y., Moses, Y., & Vardi, M. Y. (1995). Reasoning aboutKnowledge. Cambridge, MA: MIT Press.

Falk, R., & Konold, C. (1997). Making sense of randomness: Implicit encodingas a basis for judgment. Psychological Review , 104 (2), 301–318.

Fatima, S., Kraus, S., & Wooldridge, M. (2014). Principles of Automated Nego-tiation. Cambridge, UK: Cambridge University Press.

Fatima, S., Wooldridge, M., & Jennings, N. R. (2004). An agenda-based frame-work for multi-issue negotiation. Artificial Intelligence, 152 (1), 1–45.

References 219

Ficici, S. G., & Pfeffer, A. (2008). Modeling how humans reason about otherswith partial information. In L. Padgham & D. Parkes (Eds.), Proceedings ofthe 7th International Joint Conference on Autonomous Agents and MultiagentSystems (Vol. 1, pp. 315–322).

Fisher, R., & Ury, W. L. (1981). Getting to Yes: Negotiating Agreement WithoutGiving In. London: Penguin Group.

Flavell, J. H., Flavell, E. R., Green, F. L., & Moses, L. J. (1990). Young children’sunderstanding of fact beliefs versus value beliefs. Child development , 61 (4),915–928.

Flobbe, L., Verbrugge, R., Hendriks, P., & Krämer, I. (2008). Children’s applica-tion of theory of mind in reasoning and language. Journal of Logic, Languageand Information, 17 (4), 417–442.

Franke, M., & Galeazzi, P. (2014). On the evolution of choice principles. InJ. Szymanik & R. Verbrugge (Eds.), Proceedings of the Second Workshop Rea-soning About Other Minds: Logical and Cognitive Perspectives, co-located withAdvances in Modal Logic, Groningen, The Netherlands (Vol. 1208, pp. 11–15).

Frey, S. (2013). Complex collective dynamics in human higher-level reasoning:A study over multiple methods. Unpublished doctoral dissertation, IndianaUniversity.

Frey, S., & Goldstone, R. L. (2013). Cyclic game dynamics driven by iteratedreasoning. PloS ONE , 8 (2), e56416.

Gal, Y., Grosz, B., Kraus, S., Pfeffer, A., & Shieber, S. (2010). Agent decision-making in open mixed networks. Artificial Intelligence, 174 (18), 1460–1480.

Gal, Y., & Pfeffer, A. (2008). Networks of influence diagrams: A formalismfor representing agentsâĂŹ beliefs and decision-making processes. Journal ofArtificial Intelligence Research, 33 (1), 109–147.

Gallese, V., Fadiga, L., Fogassi, L., & Rizzolatti, G. (1996). Action recognitionin the premotor cortex. Brain, 119 (2), 593–609.

Gärdenfors, P. (2012). The cognitive and communicative demands on cooperation.In J. van Eijck & R. Verbrugge (Eds.), Games, Actions, and Social Software(Vol. 7010, pp. 164–183). Berlin: Springer.

Garnham, W. A., & Ruffman, T. (2001). Doesn’t see, doesn’t know: Is anticipa-tory looking really related to understanding or belief? Developmental Science,4 (1), 94–100.

220 References

Gentner, D. (1983). Structure-mapping: A theoretical framework for analogy.Cognitive Science, 7 (2), 155–170.

Gigerenzer, G., Hertwig, R., & Pachur, T. (Eds.). (2011). Heuristics: The Foun-dations of Adaptive Behavior. Oxford, USA: Oxford University Press.

Gilbert, N. (2007). Agent-Based Models. Thousand Oaks, CA: SAGE Publica-tions.

Gilbert, N., & Troitzsch, K. (2005). Simulation for the Social Scientist. Berkshire,UK: Open University Press.

Gintis, H. (2000). Strong reciprocity and human sociality. Journal of TheoreticalBiology , 206 (2), 169–179.

Gintis, H. (2009). The Bounds of Reason: Game Theory and the Unification ofthe Behavioral Sciences. Princeton, NJ: Princeton University Press.

Gmytrasiewicz, P. J., & Doshi, P. (2005). A framework for sequential planningin multi-agent settings. Journal of Artificial Intelligence Research, 24 , 49–79.

Gmytrasiewicz, P. J., & Durfee, E. H. (1995). A rigorous, operational formal-ization of recursive modeling. In V. R. Lesser (Ed.), Proceedings of the FirstInternational Conference on Autonomous Agents and Multiagent Systems (pp.125–132).

Gmytrasiewicz, P. J., Noh, S., & Kellogg, T. (1998). Bayesian update of recursiveagent models. User Modeling and User-Adapted Interaction, 8 (1-2), 49–69.

Goeree, J. K., & Holt, C. A. (2004). A model of noisy introspection. Games andEconomic Behavior , 46 (2), 365–382.

Goldman, A. I. (2006). Simulating Minds: The Philosophy, Psychology, andNeuroscience of Mindreading. Oxford, UK: Oxford University Press.

Goldman, A. I. (2009). Mirroring, mindreading, and simulation. Mirror NeuronSystems , 311–330.

Goodie, A. S., Doshi, P., & Young, D. L. (2012). Levels of theory-of-mindreasoning in competitive games. Journal of Behavioral Decision Making , 25 (1),95–108.

Goodman, N. D., Baker, C. L., Bonawitz, E. B., Mansinghka, V. K., Gopnik, A.,Wellman, H., et al. (2006). Intuitive theories of mind: A rational approach tofalse belief. In R. Sun (Ed.), Proceedings of the 28th Annual Conference of theCognitive Science Society (pp. 1382–1387).

References 221

Goodman, N. D., Mansinghka, V. K., Roy, D. M., Bonawitz, K., & Tenenbaum,J. B. (2008). Church: A language for generative models. In D. McAllester& P. Myllymaki (Eds.), Proceedings of the 24th Conference on Uncertainty inArtificial Intelligence (pp. 220–229). Corvallis, Oregon: AUAI Press.

Gopnik, A., & Wellman, H. M. (1992). Why the child’s theory of mind really isa theory. Mind & Language, 7 (1-2), 145–171.

Grodzinski, U., & Clayton, N. S. (2010). Problems faced by food-caching corvidsand the evolution of cognitive solutions. Philosophical Transactions of the RoyalSociety B: Biological Sciences , 365 (1542), 977–987.

Hale, C. M., & Tager-Flusberg, H. (2003). The influence of language on theoryof mind: A training study. Developmental science, 6 (3), 346–359.

Hampton, R. R. (2001). Rhesus monkeys know when they remember. Proceedingsof the National Academy of Sciences of the United States of America, 98 (9),5359–5362.

Harbers, M., Verbrugge, R., Sierra, C., & Debenham, J. (2008). The examina-tion of an information-based approach to trust. In J. S. Sichman, J. Padget,S. Ossowski, & P. Noriega (Eds.), Coordination, Organizations, Institutions,and Norms in Agent Systems III (Vol. 4870, pp. 71–82). Berlin: Springer.

Hare, B., Call, J., Agnetta, B., & Tomasello, M. (2000). Chimpanzees know whatconspecifics do and do not see. Animal Behaviour , 59 (4), 771–785.

Hare, B., Call, J., & Tomasello, M. (2001). Do chimpanzees know what con-specifics know? Animal Behaviour , 61 (1), 139–151.

Hare, B., Melis, A. P., Woods, V., Hastings, S., &Wrangham, R. (2007). Toleranceallows bonobos to outperform chimpanzees on a cooperative task. CurrentBiology , 17 (7), 619–623.

Hare, B., & Tomasello, M. (2004). Chimpanzees are more skilful in competitivethan in cooperative cognitive tasks. Animal Behaviour , 68 (3), 571–581.

Hedden, T., & Zhang, J. (2002). What do you think I think you think?: Strategicreasoning in matrix games. Cognition, 85 (1), 1–36.

Helmhout, M. (2006). The Social Cognitive Actor: A Multi-actor Simulation ofOrganisations. Unpublished doctoral dissertation, University of Groningen.

Herbranson, W. T., & Schroeder, J. (2010). Are birds smarter than mathemati-cians? Pigeons (Columba livia) perform optimally on a version of the MontyHall Dilemma. Journal of Comparative Psychology , 124 (1), 1–13.

222 References

Herrmann, E., Call, J., Hernandez-Lloreda, M. V., Hare, B., & Tomasello, M.(2007). Humans have evolved specialized skills of social cognition: The culturalintelligence hypothesis. Science, 317 (5843), 1360–1366.

Heyes, C. M. (2012). New thinking: The evolution of human cognition. Philo-sophical Transactions of the Royal Society B: Biological Sciences , 367 (1599),2091–2096.

Heyes, C. M. (2014). Submentalizing: I am not really reading your mind. Per-spectives on Psychological Science, 9 (2), 131–143.

Heyes, C. M., & Frith, C. D. (2014). The cultural evolution of mind reading.Science, 344 (6190), 1243091.

Hiatt, L. M., & Trafton, J. G. (2010). A cognitive model of theory of mind. InD. D. Salvucci & G. Gunzelmann (Eds.), Proceedings of the 10th InternationalConference on Cognitive Modeling (pp. 91–96).

Hickok, G. (2009). Eight problems for the mirror neuron theory of action under-standing in monkeys and humans. Journal of Cognitive Neuroscience, 21 (7),1229–1243.

Hickok, G. (2014). The Myth of Mirror Neurons: The Real Neuroscience ofCommunication and Cognition. New York: W.W. Norton & Company.

de Hoop, H., & Krämer, I. (2006). Children’s optimal interpretations of indefinitesubjects and objects. Language Acquisition, 13 (2), 103–123.

Hu, J., & Wellman, M. P. (1998). Online learning about other agents in a dynamicmultiagent system. In K. P. Sycara & M. Wooldridge (Eds.), Proceedings of theSecond International Conference on Autonomous Agents (pp. 239–246).

Humphrey, N. K. (1976). The social function of intellect. In P. P. Bateson &R. A. Hinde (Eds.), Growing Points in Ethology (pp. 303–317). Cambridge:Cambridge University Press.

Hurley, S. (2008). The shared circuits model (SCM): How control, mirroring, andsimulation can enable imitation, deliberation, and mindreading. Behavioral andBrain Sciences , 31 (01), 1–22.

van Huyck, J. B., Battalio, R. C., & Beil, R. O. (1990). Tacit coordinationgames, strategic uncertainty, and coordination failure. The American EconomicReview , 80 (1), 234–248.

Iacoboni, M., Molnar-Szakacs, I., Gallese, V., Buccino, G., Mazziotta, J. C., &Rizzolatti, G. (2005). Grasping the intentions of others with one’s own mirrorneuron system. PLoS Biology , 3 (3), e79.

References 223

Jager, W., Popping, R., & van de Sande, H. (2001). Clustering and fightingin two-party crowds: Simulating the approach-avoidance conflict. Journal ofArtificial Societies and Social Simulation, 4 (3).

Jennings, N. R., Faratin, P., Lomuscio, A. R., Parsons, S., Wooldridge, M. J., &Sierra, C. (2001). Automated negotiation: Prospects, methods and challenges.Group Decision and Negotiation, 10 (2), 199–215.

de Jong, S., Hennes, D., Tuyls, K., & Gal, Y. K. (2011). Metastrategies in theColored Trails game. In L. Sonenberg, P. Stone, K. Tumer, & P. Yolum (Eds.),Proceedings of the 10th International Conference on Autonomous Agents andMultiagent Systems (Vol. 2, pp. 551–558).

de Jong, S., Uyttendaele, S., & Tuyls, K. (2008). Learning to reach agreement ina continuous ultimatum game. Journal of Artificial Intelligence Research, 33 ,551–574.

Kahneman, D. (2003). Maps of bounded rationality: Psychology for behavioraleconomics. American Economic Review , 93 (5), 1449–1475.

Kahneman, D. (2011). Thinking, Fast and Slow. New York: Farrar, Straus andGiroux.

Kaminski, J., Bräuer, J., Call, J., & Tomasello, M. (2009). Domestic dogs aresensitive to a human’s perspective. Behaviour , 146 (7), 979–998.

Kaminski, J., Call, J., & Tomasello, M. (2006). Goats’ behaviour in a competitivefood paradigm: Evidence for perspective taking? Behaviour , 143 (11), 1341–1356.

Kaminski, J., Call, J., & Tomasello, M. (2008). Chimpanzees know what othersknow, but not what they believe. Cognition, 109 (2), 224–234.

Kass, S., & Bryla, K. (1995). Rock paper scissors Spock lizard. http://www.samkass.com/theories/RPSSL.html. (Accessed: 29/6/2012)

Keynes, J. M. (1936). The general theory of employment interest and money.

Keysar, B., Lin, S., & Barr, D. J. (2003). Limits on theory of mind use in adults.Cognition, 89 (1), 25–41.

Kinderman, P., Dunbar, R. I., & Bentall, R. P. (1998). Theory-of-mind deficitsand causal attributions. British Journal of Psychology , 89 (2), 191–204.

Kornell, N., Son, L. K., & Terrace, H. S. (2007). Transfer of metacognitive skillsand hint seeking in monkeys. Psychological Science, 18 (1), 64–71.

224 References

Kovács, Á. M., Téglás, E., & Endress, A. D. (2010). The social sense: Sus-ceptibility to others’ beliefs in human infants and adults. Science, 330 (6012),1830–1834.

Krachun, C., Carpenter, M., Call, J., & Tomasello, M. (2009). A competitivenonverbal false belief task for children and apes. Developmental Science, 12 (4),521–535.

Krachun, C., Carpenter, M., Call, J., & Tomasello, M. (2010). A new change-of-contents false belief test: Children and chimpanzees compared. InternationalJournal of Comparative Psychology , 23 , 145–165.

Kraus, S. (1997). Negotiation and cooperation in multi-agent environments.Artificial Intelligence, 94 (1–2), 79–97.

Krebs, J. R., & Dawkins, R. (1978). Animal signals: Mind-reading and ma-nipulation. In J. R. Krebs & N. B. Davies (Eds.), Behavioural Ecology: AnEvolutionary Approach (Vol. 2, pp. 380–402). Oxford, UK: Blackwell Science.

Kudo, H., & Dunbar, R. I. (2001). Neocortex size and social network size inprimates. Animal Behaviour , 62 (4), 711–722.

Langley, P., Laird, J. E., & Rogers, S. (2009). Cognitive architectures: Researchissues and challenges. Cognitive Systems Research, 10 (2), 141–160.

Leslie, A. M., Friedman, O., & German, T. P. (2004). Core mechanisms in ‘theoryof mind’. Trends in Cognitive Sciences , 8 (12), 528–533.

Lewis, D. K. (1969). Convention: A Philosophical Study. Chichester, NY: Wiley-Blackwell.

Lewis, K. P. (2000). A comparative study of primate play behaviour: Implicationsfor the study of cognition. Folia Primatologica, 71 (6), 417–421.

Liddle, B., & Nettle, D. (2006). Higher-order theory of mind and social compe-tence in school-age children. Journal of Cultural and Evolutionary Psychology ,4 (3-4), 231–244.

Lin, R., Gal, Y. K., Kraus, S., & Mazliah, Y. (2014). Training with automatedagents improves people’s behavior in negotiation and coordination tasks. Deci-sion Support Systems , 60 , 1–9.

Lin, R., Kraus, S., Wilkenfeld, J., & Barry, J. (2008). Negotiating with boundedrational agents in environments with incomplete information using an auto-mated agent. Artificial Intelligence, 172 (6–7), 823–851.

References 225

Lohmann, H., & Tomasello, M. (2003). The role of language in the developmentof false belief understanding: A training study. Child Development , 74 (4),1130–1144.

Lurz, R. W. (2009). If chimpanzees are mindreaders, could behavioral sciencetell? Toward a solution of the logical problem. Philosophical Psychology , 22 (3),305–328.

Lurz, R. W. (2014). Does comparative animal cognition need to be saved bycognitive modeling? The Southern Journal of Philosophy , 52 (S1), 98–108.

Lurz, R. W., Kanet, S., & Krachun, C. (2014). Animal mindreading: A defenseof optimistic agnosticism. Mind & Language, 29 (4), 428–454.

Macy, M. W., & Willer, R. (2002). From factors to actors: Computationalsociology and agent-based modeling. Annual Review of Sociology , 28 , 143–166.

Mahon, B. Z., & Caramazza, A. (2008). A critical look at the embodied cognitionhypothesis and a new proposal for grounding conceptual content. Journal ofPhysiology-Paris , 102 (1-3), 59–70.

Martin, A., & Santos, L. R. (2014). The origins of belief representation: Monkeysfail to automatically represent others’ beliefs. Cognition, 130 (3), 300–308.

Martin, C. F., Bhui, R., Bossaerts, P., Matsuzawa, T., & Camerer, C. (2014).Chimpanzee choice rates in competitive games match equilibrium game theorypredictions. Scientific Reports , 4 , 5182.

McKelvey, R. D., & Palfrey, T. R. (1995). Quantal response equilibria for normalform games. Games and Economic Behavior , 10 (1), 6–38.

Meijering, B. (2014). Reasoning about Self and Others. Unpublished doctoraldissertation, University of Groningen.

Meijering, B., van Maanen, L., van Rijn, H., & Verbrugge, R. (2010). Thefacilitative effect of context on second-order social reasoning. In S. Ohlsson& R. Catrambone (Eds.), Proceedings of the 32nd Annual Conference of theCognitive Science Society (pp. 1423–1428).

Meijering, B., van Rijn, H., Taatgen, N. A., & Verbrugge, R. (2011). I do knowwhat you think I think: Second-order theory of mind in strategic games is notthat difficult. In L. Carlson, C. Hoelscher, & T. F. Shipley (Eds.), Proceedings ofthe 33rd Annual Conference of the Cognitive Science Society (pp. 2486–2491).

226 References

Meijering, B., van Rijn, H., Taatgen, N. A., & Verbrugge, R. (2012). What eyemovements can tell about theory of mind in a strategic game. PloS ONE , 7 (9),e45961.

Meijering, B., Taatgen, N. A., van Rijn, H., & Verbrugge, R. (2014). Modelinginference of mental states: As simple as possible, as complex as necessary.Interaction Studies , 15 , 455–477.

Meijering, B., Taatgen, N. A., Van Rijn, H., & Verbrugge, R. (2013). Reasoningabout mental states in sequential games: As simple as possible, as complexas necessary. In R. L. West & T. C. Stewart (Eds.), Proceedings of the 12thInternational Conference on Cognitive Modelling (pp. 173–178).

Melis, A. P., Hare, B., & Tomasello, M. (2006a). Chimpanzees recruit the bestcollaborators. Science, 311 (5765), 1297–1300.

Melis, A. P., Hare, B., & Tomasello, M. (2006b). Engineering cooperation inchimpanzees: Tolerance constraints on cooperation. Animal Behaviour , 72 (2),275–286.

Melis, A. P., Hare, B., & Tomasello, M. (2009). Chimpanzees coordinate in anegotiation game. Evolution and Human Behavior , 30 (6), 381–392.

Metcalfe, J. (2003). Drawing the line on metacognition. Behavioral and BrainSciences , 26 (03), 350–351.

Miller, S. A. (2009). Children’s understanding of second-order mental states.Psychological Bulletin, 135 (5), 749–773.

Miller, S. A. (2012). Theory of Mind: Beyond the Preschool Years. Hove, UK:Psychology Press.

Mohlin, E. (2012). Evolution of theories of mind. Games and Economic Behavior ,75 (1), 299–318.

Moll, H., & Tomasello, M. (2007). Cooperation and human cognition: TheVygotskian intelligence hypothesis. Philosophical Transactions of the RoyalSociety B: Biological Sciences , 362 (1480), 639–648.

Monte, D., Robalino, N., & Robson, A. (2012). The evolution of “Theory of Mind”.(Working paper; Economics Department; Simon Fraser University, Burnaby,Canada)

Muro, C., Escobedo, R., Spector, L., & Coppinger, R. P. (2011). Wolf-pack(Canis lupus) hunting strategies emerge from simple rules in computationalsimulations. Behavioural Processes , 88 (3), 192–197.

References 227

von Neumann, J. (1928). Zur Theorie der Gesellschaftsspiele. MathematischeAnnalen, 100 (1), 295–320.

von Neumann, J., & Morgenstern, O. (1944). Theory of Games and EconomicBehavior. Princeton, NJ: Princeton University Press. (60th anniversary com-memorative edition, 2004)

Newman-Norlund, S. E., Noordzij, M. L., Newman-Norlund, R. D., Volman, I. A.,de Ruiter, J. P., Hagoort, P., et al. (2009). Recipient design in tacit communi-cation. Cognition, 111 (1), 46–54.

Nichols, S., & Stich, S. P. (2003). Mindreading: An Integrated Account of Pre-tence, Self-awareness, and Understanding Other Minds. Oxford, UK: OxfordUniversity Press.

Nowak, M. A. (2006). Five rules for the evolution of cooperation. Science,314 (5805), 1560–1563.

Nowak, M. A., & May, R. M. (1992). Evolutionary games and spatial chaos.Nature, 359 (6398), 826–829.

Ohtsubo, Y., & Rapoport, A. (2006). Depth of reasoning in strategic form games.The Journal of Socio-Economics , 35 (1), 31–47.

Onishi, K. H., & Baillargeon, R. (2005). Do 15-month-old infants understandfalse beliefs? Science, 308 (5719), 255–258.

Osborne, M. J., & Rubinstein, A. (1994). A Course in Game Theory. Cambridge,MA: MIT Press.

Park, S., Durfee, E. H., & Birmingham, W. P. (2004). Use of Markov chains todesign an agent bidding strategy for continuous double auctions. Journal ofArtificial Intelligence Research, 22 , 175–214.

Penn, D. C., & Povinelli, D. J. (2007). On the lack of evidence that non-humananimals possess anything remotely resembling a ‘theory of mind’. PhilosophicalTransactions of the Royal Society B: Biological Sciences , 362 (1480), 731–744.

Perner, J., & Kühberger, A. (2005). Mental simulation: Royal road to otherminds? In B. F. Malle & S. D. Hodges (Eds.), Other Minds: How HumansBridge the Divide between Self and Others (pp. 174–189). New York: GuilfordPress.

Perner, J., & Wimmer, H. (1985). “John thinks that Mary thinks that...” attribu-tion of second-order beliefs by 5 to 10 year old children. Journal of ExperimentalChild Psychology , 39 (3), 437–471.

228 References

Phillips, M. L., Young, A. W., Senior, C., Brammer, M. J., Andrew, C., Calder,A. J., et al. (1997). A specific neural substrate for perceiving facial expressionsof disgust. Nature, 389 (6650), 495–498.

van der Post, D. J., Verbrugge, R., & Hemelrijk, C. K. (2015). The evolutionof different forms of sociality: Behavioral mechanisms and eco-evolutionaryfeedback. PloS ONE , 10 (1), e0117027.

van der Post, D. J., de Weerd, H., Verbrugge, R., & Hemelrijk, C. K. (2013). Anovel mechanism for a survival advantage of vigilant individuals in groups. TheAmerican Naturalist , 182 (5), 682–688.

van Poucke, D., & Buelens, M. (2002). Predicting the outcome of a two-party pricenegotiation: Contribution of reservation price, aspiration price and openingoffer. Journal of Economic Psychology , 23 (1), 67–76.

Premack, D. (2007). Human and animal cognition: Continuity and discontinuity.Proceedings of the National Academy of Sciences , 104 (35), 13861–13867.

Premack, D., & Woodruff, G. (1978). Does the chimpanzee have a theory ofmind? Behavioral and Brain Sciences , 1 (04), 515–526.

Pylyshyn, Z. W. (1978). When is attribution of beliefs justified? Behavioral andBrain Sciences , 1 (04), 592–593.

Pynadath, D. V., & Marsella, S. C. (2005). PsychSim: Modeling theory of mindwith decision-theoretic agents. In L. P. Kaelbling & A. Saffiotti (Eds.), IJCAI-05: Nineteenth International Joint Conference on Artificial Intelligence (pp.1181–1186).

Pynadath, D. V., Rosenbloom, P. S., & Marsella, S. C. (2014). Reinforcementlearning for adaptive theory of mind in the Sigma cognitive architecture. InB. Goertzel, L. Orseau, & J. Snaider (Eds.), Artificial General Intelligence(Vol. 8598, pp. 143–154). Springer.

Pynadath, D. V., Rosenbloom, P. S., Marsella, S. C., & Li, L. (2013). Modelingtwo-player games in the Sigma graphical cognitive architecture. In K. Kühn-berger, S. Rudolph, & P. Wang (Eds.), Artificial General Intelligence (Vol.7999, pp. 98–108). Springer.

Qu, X., Doshi, P., & Goodie, A. (2012). Modeling deep strategic reasoning byhumans in competitive games. In W. van der Hoek, L. Padgham, V. Conitzer,& M. Winikoff (Eds.), Proceedings of the 11th International Conference on Au-tonomous Agents and Multiagent Systems (Vol. 3, pp. 1243–1244).

References 229

Raiffa, H. (1982). The Art and Science of Negotiation. Cambridge, MA: BelknapPress.

Raiffa, H., Richardson, J., & Metcalfe, D. (2002). Negotiation Analysis: TheScience and Art of Collaborative Decision Making. Cambridge, MA: BelknapPress.

Rapoport, A., & Budescu, D. V. (1997). Randomization in individual choicebehavior. Psychological Review , 104 (3), 603–617.

Rizzolatti, G., Fadiga, L., Gallese, V., & Fogassi, L. (1996). Premotor cortex andthe recognition of motor actions. Cognitive Brain Research, 3 (2), 131–141.

Rizzolatti, G., Fogassi, L., & Gallese, V. (2001). Neurophysiological mechanismsunderlying the understanding and imitation of action. Nature Reviews Neuro-science, 2 (9), 661–670.

Robalino, N., & Robson, A. (2012). The economic approach to ‘theory ofmind’. Philosophical Transactions of the Royal Society B: Biological Sciences ,367 (1599), 2224–2233.

Rosenbloom, P. S. (2013). The Sigma cognitive architecture and system. AISBQuarterly , 136 , 4–13.

Rosenfeld, A., Zuckerman, I., Segal-Halevi, E., Drein, O., & Kraus, S. (2014). Ne-goChat: A chat-based negotiation agent. In A. Lomuscio, P. Scerri, A. Bazzan,& M. Huhns (Eds.), Proceedings of the Thirteenth International Conference onAutonomous Agents and Multi-Agent Systems (pp. 525–532).

Rosette, A. S., Kopelman, S., & Abbott, J. L. (2013). Good grief! Anxiety soursthe economic benefits of first offers. Group Decision and Negotiation, 23 (3),629–647.

Ruffman, T. (2014). To belief or not belief: Children’s theory of mind. Develop-mental Review , 34 (3), 265–293.

Ruffman, T., Garnham, W., Import, A., & Connolly, D. (2001). Does eye gazeindicate implicit knowledge of false belief? charting transitions in knowledge.Journal of experimental child psychology , 80 (3), 201–224.

de Ruiter, J. P., Noordzij, M., Newman-Norlund, S., Hagoort, P., & Toni, I.(2007). On the origin of intentions. In P. Haggard, Y. Rossetti, & M. Kawato(Eds.), Sensorimotor Foundations of Higher Cognition: Attention and Perfor-mance XXII (pp. 593–610). Oxford, UK: Oxford University Press.

230 References

Sabbagh, M. A., Benson, J. E., & Kuhlmeier, V. A. (2013). False belief under-standing in infants and preschoolers. In The Infant Mind: Origins of the SocialBrain (pp. 301–323). New York: Guilford Press.

Samson, D., Apperly, I. A., Braithwaite, J. J., Andrews, B. J., & Bodley Scott,S. E. (2010). Seeing it their way: Evidence for rapid and involuntary compu-tation of what other people see. Journal of Experimental Psychology: HumanPerception and Performance, 36 (5), 1255–1266.

van Santen, W., Jonker, C., & Wijngaards, N. (2009). Crisis decision makingthrough a shared integrative negotiation mental model. International Journalof Emergency Management , 6 (3-4), 342–355.

Santiesteban, I., Catmur, C., Coughlan Hopkins, S., Bird, G., & Heyes, C. (2014).Avatars and arrows: Implicit mentalizing or domain-general processing? Jour-nal of Experimental Psychology: Human Perception and Performance, 40 (3),929–937.

Saxe, R. (2005). Against simulation: The argument from error. Trends in Cog-nitive Sciences , 9 (4), 174–179.

Schmelz, M., Call, J., & Tomasello, M. (2011). Chimpanzees know that othersmake inferences. Proceedings of the National Academy of Sciences , 108 (7),3077–3079.

Scott-Phillips, T. C., Kirby, S., & Ritchie, G. R. (2009). Signalling signalhoodand the emergence of communication. Cognition, 113 (2), 226–233.

Seed, A. M., Clayton, N. S., & Emery, N. J. (2008). Cooperative problem solvingin rooks (Corvus frugilegus). Proceedings of the Royal Society B: BiologicalSciences , 275 (1641), 1421–1429.

Seed, A. M., & Tomasello, M. (2010). Primate cognition. Topics in CognitiveScience, 2 (3), 407–419.

Sher, I., Koenig, M., & Rustichini, A. (2014). Children’s strategic theory of mind.Proceedings of the National Academy of Sciences , 111 (37), 13307–13312.

Shettleworth, S. J. (2010). Clever animals and killjoy explanations in comparativepsychology. Trends in Cognitive Sciences , 14 (11), 477–481.

Shettleworth, S. J., & Sutton, J. E. (2003). Animal metacognition? It’s all in themethods. Behavioral and Brain Sciences , 26 (03), 353–354.

Shields, W. E., Smith, J. D., & Washburn, D. A. (1997). Uncertain responsesby humans and rhesus monkeys (Macaca mulatta) in a psychophysical same-different task. Journal of Experimental Psychology; General , 126 (2), 147–164.

References 231

Shultz, S., & Dunbar, R. I. (2010). Social bonds in birds are associated with brainsize and contingent on the correlated evolution of life-history and increasedparental investment. Biological Journal of the Linnean Society , 100 (1), 111–123.

Sigmund, K. (2010). The Calculus of Selfishness. Princeton, NJ: PrincetonUniversity Press.

Simon, H. A. (1990). A mechanism for social selection and successful altruism.Science, 250 (4988), 1665–1668.

Singer, T., Seymour, B., O’Doherty, J. P., Stephan, K. E., Dolan, R. J., & Frith,C. D. (2006). Empathic neural responses are modulated by the perceivedfairness of others. Nature, 439 (7075), 466–469.

Skyrms, B. (1996). Evolution of the Social Contract. Cambridge, UK: CambridgeUniversity Press.

Skyrms, B. (2010). Signals: Evolution, Learning, and Information. Oxford, UK:Oxford University Press.

Slingerland, I., Mulder, M., van der Vaart, E., & Verbrugge, R. (2009). A multi-agent systems approach to gossip and the evolution of language. In N. Taatgen &H. van Rijn (Eds.), Proceedings of the 31st Annual Conference of the CognitiveScience Society (pp. 1609–1614).

Son, L. K., & Kornell, N. (2005). Metaconfidence judgments in rhesus macaques:Explicit versus implicit mechanisms. In H. S. Terrace & J. Metcalfe (Eds.),The Missing Link in Cognition: Origins of Self-reflective Consciousness (pp.296–320). Oxford, USA: Oxford University Press.

Stahl, D. O. (1993). Evolution of smartn players. Games and Economic Behavior ,5 (4), 604–617.

Stahl, D. O., & Wilson, P. W. (1995). On players’ models of other players: Theoryand experimental evidence. Games and Economic Behavior , 10 (1), 218–254.

Stander, P. E. (1992). Cooperative hunting in lions: The role of the individual.Behavioral Ecology and Sociobiology , 29 (6), 445–454.

Stanford Encyclopedia of Philosophy. (1997a). Folk Psychology as a Theory.http://plato.stanford.edu/entries/folkpsych-theory/. (Accessed: 01/11/2014)

Stanford Encyclopedia of Philosophy. (1997b). Folk Psychology as Mental Sim-ulation. http://plato.stanford.edu/entries/folkpsych-simulation/. (Accessed:01/11/2014)

232 References

Steels, L. (2003). Evolving grounded communication for robots. Trends in Cog-nitive Sciences , 7 (7), 308–312.

Steels, L. (2011). Modeling the cultural evolution of language. Physics of LifeReviews , 8 (4), 339–356.

Stiller, J., & Dunbar, R. I. (2007). Perspective-taking and memory capacitypredict social network size. Social Networks , 29 (1), 93–104.

Stuhlmüller, A., & Goodman, N. D. (2014). Reasoning about reasoning by nestedconditioning: Modeling theory of mind with probabilistic programs. CognitiveSystems Research, 28 , 80–99.

Stulp, G., Emery, N. J., Verhulst, S., & Clayton, N. S. (2009). Western scrub-jays conceal auditory information when competitors can hear but cannot see.Biology Letters , 5 (5), 583.

Sugden, R. (1995). A theory of focal points. The Economic Journal , 105 (430),533–550.

Sullivan, K., Zaitchik, D., & Tager-Flusberg, H. (1994). Preschoolers can attributesecond-order beliefs. Developmental Psychology , 30 (3), 395–402.

Surian, L., Caldi, S., & Sperber, D. (2007). Attribution of beliefs by 13-month-oldinfants. Psychological Science, 18 (7), 580–586.

Taatgen, N. A. (2013). The nature and transfer of cognitive skills. PsychologicalReview , 120 (3), 439–471.

Tomasello, M. (2009). Why We Cooperate. Cambridge, MA: MIT Press.

Tomasello, M., & Call, J. (1997). Primate Cognition. Oxford, USA: OxfordUniversity Press.

Tomasello, M., Carpenter, M., Call, J., Behne, T., & Moll, H. (2005). Under-standing and sharing intentions: The origins of cultural cognition. Behavioraland Brain Sciences , 28 (05), 675–691.

Tomasello, M., & Moll, H. (2010). The gap is social: Human shared intentionalityand culture. In P. M. Kappeler & J. Silk (Eds.), Mind the Gap: Tracing theOrigins of Human Universals (pp. 331–349). Berlin: Springer.

Träuble, B., Marinović, V., & Pauen, S. (2010). Early theory of mind competen-cies: Do infants understand others’ beliefs? Infancy , 15 (4), 434–444.

References 233

Umiltà, M. A., Kohler, E., Gallese, V., Fogassi, L., Fadiga, L., Keysers, C., etal. (2001). I know what you are doing: A neurophysiological study. Neuron,31 (1), 155–165.

van der Vaart, E., de Boer, B., Hankel, A., & Verheij, B. (2006). Agents adoptingagriculture: Modeling the agricultural transition. In S. Nolfi et al. (Eds.), FromAnimals to Animats 9 (Vol. 4095, pp. 750–761). Berlin: Springer.

van der Vaart, E., & Hemelrijk, C. K. (2014). ‘Theory of mind’ in animals: Waysto make progress. Synthese, 191 (3), 335–354.

van der Vaart, E., & Verbrugge, R. (2008). Agent-based models for animalcognition: A proposal and prototype. In L. Padgham & D. Parkes (Eds.),Proceedings of the 7th International Joint Conference on Autonomous Agentsand Multiagent Systems (Vol. 2, pp. 1145–1152).

van der Vaart, E., Verbrugge, R., & Hemelrijk, C. K. (2012). Corvid re-cachingwithout ‘theory of mind’: A model. PLoS ONE , 7 (3), e32904.

Verbrugge, R. (2009). Logic and social cognition: The facts matter, and so docomputational models. Journal of Philosophical Logic, 38 , 649–680.

Vygotsky, L. S. (1978). Mind in Society: The Development of Higher PsychologicalProcesses (M. Cole, Ed.). Cambridge, MA: Harvard University Press.

Wagenaar, W. A. (1972). Generation of random sequences by human subjects:A critical survey of literature. Psychological Bulletin, 77 (1), 65–72.

Wahl, S., & Spada, H. (2000). Children’s reasoning about intentions, beliefs andbehaviour. Cognitive Science Quarterly , 1 , 5–34.

Wang, B., Low, J., Jing, Z., & Qinghua, Q. (2012). Chinese preschoolers’ im-plicit and explicit false-belief understanding. British Journal of DevelopmentalPsychology , 30 (1), 123–140.

de Weerd, H., Broers, E., & Verbrugge, R. (2015). Savvy software agents canencourage the use of second-order theory of mind by negotiators. In D. Noelle etal. (Eds.), Proceedings of the 37th Annual Conference of the Cognitive ScienceSociety (pp. 542–547).

de Weerd, H., & Verbrugge, R. (2011). Evolution of altruistic punishment inheterogeneous populations. Journal of Theoretical Biology , 290 , 88–103.

de Weerd, H., Verbrugge, R., & Verheij, B. (2012). Higher-order social cognitionin the game of rock-paper-scissors: A simulation study. In G. Bonanno, H. vanDitmarsch, & W. van der Hoek (Eds.), Proceedings of the 10th Conference onLogic and the Foundations of Game and Decision Theory (p. 218-232).

234 References

de Weerd, H., Verbrugge, R., & Verheij, B. (2013a). Higher-order theory ofmind in negotiations under incomplete information. In G. Boella, E. Elkind,B. Savarimuthu, F. Dignum, & M. Purvis (Eds.), PRIMA 2013: Principles andPractice of Multi-Agent Systems (pp. 101–116). Springer.

de Weerd, H., Verbrugge, R., & Verheij, B. (2013b). How much does it help toknow what she knows you know? An agent-based simulation study. ArtificialIntelligence, 199-200 , 67–92.

de Weerd, H., Verbrugge, R., & Verheij, B. (2014a). Agent-based models forhigher-order theory of mind. In Advances in Social Simulation: Proceedings ofthe 9th Conference of the European Social Simulation Association (Vol. 229,pp. 213–224). Berlin: Springer.

de Weerd, H., Verbrugge, R., & Verheij, B. (2014b). Theory of mind in theMod game: An agent-based model of strategic reasoning. In Proceedings ofthe European Conference on Social Intelligence (ECSI-2014) (Vol. 1283, pp.128–136).

de Weerd, H., Verbrugge, R., & Verheij, B. (2015). Higher-order theory of mind inthe Tacit Communication Game. Biologically Inspired Cognitive Architectures ,11 , 10–21.

de Weerd, H., & Verheij, B. (2011). The advantage of higher-order theory ofmind in the game of limited bidding. In J. van Eijck & R. Verbrugge (Eds.),Proceedings of the Workshop on Reasoning About Other Minds: Logical andCognitive Perspectives (Vol. 751, pp. 149–164).

Wellman, H. M., Cross, D., & Watson, J. (2001). Meta-analysis of theory-of-minddevelopment: The truth about false belief. Child Development , 72 (3), 655–684.

Wellman, M. P., & Hu, J. (1998). Conjectural equilibrium in multiagent learning.Machine Learning , 33 (2-3), 179–200.

Wellman, M. P., Reeves, D. M., Lochner, K. M., & Vorobeychik, Y. (2004). Priceprediction in a trading agent competition. Journal of Artificial IntelligenceResearch, 21 , 19–36.

West, R. L., Lebiere, C., & Bothell, D. J. (2006). Cognitive architectures, gameplaying, and human evolution. In R. Sun (Ed.), Cognition and Multi-Agent In-teraction: From Cognitive Modeling to Social Simulation (pp. 103–123). Cam-bridge University Press.

Whiten, A., & Byrne, R. W. (Eds.). (1997). Machiavellian Intelligence II: Exten-sions and Evaluations. Cambridge, UK: Cambridge University Press.

References 235

Wijermans, N., Jager, W., Jorna, R., & van Vliet, T. (2008). Modelling thedynamics of motivational and situated behavior. In Proceedings of the SecondWorld Congress on Social Simulation.

Wilkinson, G. S. (1984). Reciprocal food sharing in the vampire bat. Nature,308 (5955), 181–184.

Wimmer, H., & Perner, J. (1983). Beliefs about beliefs: Representation andconstraining function of wrong beliefs in young children’s understanding of de-ception. Cognition, 13 (1), 103–128.

van Wissen, A., Gal, Y., Kamphorst, B. A., & Dignum, M. V. (2012). Human–agent teamwork in dynamic environments. Computers in Human Behavior ,28 (1), 23–33.

Wright, J. R., & Leyton-Brown, K. (2010). Beyond equilibrium: Predictinghuman behavior in normal-form games. In Proceedings of the 24th Conferenceon Artificial Intelligence (pp. 901–907).

Yoshida, W., Dolan, R. J., & Friston, K. J. (2008). Game theory of mind. PLoSComputational Biology , 4 (12), e1000254.

Yott, J., & Poulin-Dubois, D. (2012). Breaking the rules: Do infants have a trueunderstanding of false belief? British Journal of Developmental Psychology ,30 (1), 156–171.

Zhang, J., Hedden, T., & Chia, A. (2012). Perspective-taking and depth oftheory-of-mind reasoning in sequential-move games. Cognitive Science, 36 (3),560–573.

Zwickel, J. (2009). Agency attribution and visuospatial perspective taking. Psy-chonomic Bulletin & Review , 16 (6), 1089–1093.