Introduction to agents – Structure of intelligent agents, Problem solving agents –
Formulating problems – Overview of uninformed searching strategies, informed
search methods, Game playing as search.
Knowledge based agent representation - Logics – First Order logic – Reflex
agents – Building a knowledge base – General ontology – Inference – Logical
recovery. Planning agents – Planning in situational calculus – Representation of
Planning – Partial order Planning – Practical Planners – Conditional Planning.
Agents acting under uncertainty - probability notation - Bayes rule, Probabilistic
reasoning - Belief networks – Utility theory - Decision network - Value of information
learning agents – Learning from Observations – Knowledge in Learning, Case
studies on applications of AI.