Computational Learning Theory PAC IID VC Dimension SVM Kunstmatige Intelligentie / RuG KI2 - 5 Marius Bulacu & prof. dr. Lambert Schomaker.
NEW TIES WP2 Agent and learning mechanisms. Decision making and learning Agents have a controller (decision tree, DQT) Input: situation (as perceived.
Intelligent Agents What is the basic framework we use to construct intelligent programs?
Software Agents in Economic Environments Robert S. Gazzale Ph.D. Candidate, Department of Economics Jeffrey MacKie Mason Professor, Dept. of Economics.
Metareasoning: Thinking about thinking Chicago 13-14 July 2008 Stefania Costantini Pierangelo Dell’Acqua Luis M. Pereira A Multi-layer Framework for Evolving.
Learning: Introduction and Overview Chapter 18-21 also: AI 2 nd ed, Rich and Knight, chapter 17 COMP151 April 13, 2007.
Creating Social Agent Systems in Simulated Physical Environments Principal Investigator: Dr. Ben Aguirre Research Assistant: Eric Best ([email protected])
Principles of Autonomy and Decision Making
1 Chapter 19 Intelligent Agents. 2 Chapter 19 Contents (1) l Intelligence l Autonomy l Ability to Learn l Other Agent Properties l Reactive Agents l Utility-Based.
Modelling Motivation for Experience-Based Attention Focus in Reinforcement Learning Candidate Kathryn Merrick School of Information Technologies University.
Machine Learning and ILP for Multi-Agent Systems
