Unit 1
Introduction to agents – Structure of intelligent agents, Problem solving agents – Formulating problems – Overview of uninformed searching strategies, informed search methods, Game playing as search.
| Course Name | Intelligent Systems |
| Course Code | 15CSE352 |
| Program | B. Tech. in Computer Science and Engineering |
| Year Taught | 2019 |
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.
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