Artificial Intelligence Foundations and Applications

Sub No. : AI61005
LTP: 3-1-0
Credits: 4

Prerequisite : NA

Taught by : Manjira Sinha, Sudeshna Sarkar, Partha Pratim Chakrabarti

Teaching Assistents :

Sayantan, Avinash, Rekha, Chhavi, Nilanjan


Evolution and Domains of applications, Knowledge representation methods – state-space, knowledge graph, propositional logic, Search – heuristic, A*, CSP, DFBB, Reasoning, Planning, Learning, Communications, Real world consideration – time / memory bound, uncertainty, distributed, multi-agent, etc., Case studies – transportation, robotics, weather forecast, game design, VLSI system design, etc.