Language Ecology, Language Evolution, And the Actuation Question
WP3: Language Evolution
description
Transcript of WP3: Language Evolution
WP3: Language Evolution
Paul VogtFederico DivinaTilburg University
Objectives (from Annex I)
… to design a population such that it is capable of evolving one (or possibly more) languages that enables them to optimize cooperation.
A secondary objective is to design the experiment such that the agents will discover communication as a useful strategy and find ways to use this strategy effectively.
Tasks Task 3.1 Define (…) the required set-up for
evolving language, learning how to use communication and how to react properly on linguistic communication (…). Year 1: M3.1
Task 3.2 Implement the code for under 3.1 defined specifications and integrating the results achieved in tasks 2.2 and 2.3. Year 2: D3.1
Task 3.3 Perform experiments with the system as implemented in task 3.2. Started Year 2
Task 3.4 Report on the experiments performed. Started Year 2
Overview
State of WP3 Language games Preliminary results Social learning of skills Outlook final year Conclusions
Language games
Referent
Form“Cabbage”
Category
Category
Aspects of language learning
Establishing joint attention pointing
Cross-situational learning statistical co-occurrences across situations
Feedback not reliable
Principle of contrast associations with existing meanings lower initial
score
Experiments
Aim: To test effect of learning mechanisms on language development
Conditions: Fixed controller (no individual learning) Reproduction, but no evolution Socialness gene randomly set Possible actions: move, turn, pick-up, eat, mate, talk
& shout Possible topics: features of one object Fixed categories Initial population size = 100 Simulated for 36,500 time steps (~100 NTYears)
Some statistics
Per time step: ~27 language games initiated (total simulation ~1 million games)
~42% of games accompanied by pointing gesture
~12% of games accompanied by feedback signal
~50% of games no pointing, nor feedback
Varying No. of Features
Divina & Vogt, Proc. EELC, 2006
Excluding learning mechanisms
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Standard No Feedback No Principleof Contrast
No Cross-situationallearning
No Pointing
Acc
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Vogt & Divina, Interaction Studies, in press
Social learning
Assuming communication has evolved, how can language be used to acquire new skills?
Example
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“hungry,have-food, eat”
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{h,f,E}
Example
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{h,f,E}“hungry,no-food,talk” {h,¬f,T}
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Example
hT E
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{h,f,E} {h,¬f,T}
E L
Example
hT E
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{h,f,E} {h,¬f,T}
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Will it work? Good question, we don’t know... RL has (at least) 2 ways of deciding
which nodes to insert Random insertion ‘Intelligent’ insertion
Our feeling is that second option could be more effective and integrates language evolution & social learning elegantly
Outlook final year
Integrating social learning (mostly done) – also using ‘telepathy’
Performing experiments to Improve model regarding accuracy Evolve language that aids survival & social learning
Focus of interest: Language diffusion Emergence of dialects Social learning (Grammar)
Define language specific challenges
Conclusions
Made great progress Language games work well beyond
chance, but could be improved Social learning of skills defined,
implemented, but not integrated Still much to do...