Agent architectures
1 Knowledge and reasoning – second part Knowledge representation Logic and representation Propositional (Boolean) logic Normal forms Inference in propositional.
A history of Autonomous Agents: from Thinking Machines to Machines for Thinking
Atomizer - Microcontent and the Future of IA
R. S. Sutton and A. G. Barto: Reinforcement Learning: An Introduction 1 Chapter 3: The Reinforcement Learning Problem pdescribe the RL problem; ppresent.
Pedestrian agent modelling A visual approach Pete FergusonUCL, Space Syntax Limited Eva Freidrich Foster +Partners Dr. Kayvan Karimi UCL, Space Syntax.
Agent Mediated Grid Services in e-Learning Chun Yan, Miao School of Computer Engineering Nanyang Technological University (NTU) Singapore 639798 April,
1 DCP 1172 Introduction to Artificial Intelligence Lecture notes for Chap. 7 & 10 [AIMA] Chang-Sheng Chen.
Decentralized Resource Allocation in Application Layer Networks T. Eymann, M. Reinicke University Freiburg, Germany O. Ardaiz, P. Artigas, F. Freitag,
Ontologies Reasoning Components Agents Simulations Agent-Oriented Knowledge Representation Jacques Robin.
UW Climate Impacts Group Seminar November 14, 2002 Michael Dalton California State University, Monterey Bay The California Rockfish Conservation Area:
Bayesian belief nets Michael Ingleby - these are one of several possible inference frameworks used in intelligent agents and are important in artificial.