CS60036: Intelligent Systems

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CS60036
Course name Intelligent Systems
Offered by Computer Science & Engineering
Credits 3
L-T-P 3-0-0
Previous Year Grade Distribution




1




EX A B C D P F
Semester Spring


Syllabus

Syllabus mentioned in ERP

Data, information and knowledge. Model of an intelligent system. Models of knowledge representations: Representation and reasoning in logic. Semantic representations: semantic networks, frames; Frame/script systems; Conceptual dependency and conceptual graphs. Ontologies. Knowledge based systems: Software architecture of a knowledge-based system, Rule-based program-ming and production systems, Rule chaining and inference control, Inference: reasoning about knowledge, Temporal reasoning, Inference under uncertainty: Bayesian techniques, Fuzzy reasoning, Case-based reasoning. Intelligent agents, The agent metaphor and attributes of agent-hood, Agent theory and languages, Interagent communication, Ontological issues. Alternatives to the symbolic approach: Foundations of connectionist networks; their history. Applications of AI: Example application domains, e.g. Configuration, Diagnosis, Planning, intelligent interfaces, user modeling, practical implications of choosing and applying AI solutions. Knowledge representation and the Web, Semantic Web.


Concepts taught in class

Student Opinion

How to Crack the Paper

Classroom resources

Additional Resources