CS60036: Intelligent Systems
| CS60036 | |||||||||||||||||
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| Course name | Intelligent Systems | ||||||||||||||||
| Offered by | Computer Science & Engineering | ||||||||||||||||
| Credits | 3 | ||||||||||||||||
| L-T-P | 3-0-0 | ||||||||||||||||
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| Semester | Spring | ||||||||||||||||
Syllabus[edit | edit source]
Syllabus mentioned in ERP[edit | edit source]
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.