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Unit 2: Problem-Solving and Searching Techniques
Content will be published soon
Tags: AI | Artificial Intelligence
AI Syllabus
Unit 1: Introduction
- Introduction to Artificial Intelligence
- Background and Applications of Artificial Intelligence
- What is Turing test
- Introduction to Weak AI
- Introduction to Strong AI
- Introduction to Narrow AI
- Artificial General Intelligence
- Introduction to Super AI
- Rational agent approaches to AI
- Introduction to Intelligent agents and their structure
- Behaviour and Environment of Intelligent Agents
Unit 2: Problem-Solving and Searching Techniques
- Problem characteristics
- Production systems
- Control strategies
- Breadth-first search
- Depth-first search
- Hill climbing and its variations
- Heuristics search techniques
- Best first search
- A* algorithm
- Constraint satisfaction problem
- means-end analysis
- Introduction to game playing
- min-max and alpha-beta pruning algorithm
Unit 3: Knowledge Representation
- Propositional logic
- first-order predicate logic
- resolution principle
- Introduction to Unification
- Introduction to semantic nets
- conceptual dependencies
- Introduction to frames
- Introduction to scripts
- Production rules
- Introduction to Programming in Logic (PROLOG)
Unit 4: Understanding Natural Language
- Components and steps of communication
- The contrast between formal and natural languages in the context of grammar
- Chomsky Hierarchy of grammars parsing and semantics
- Parsing Techniques
- Context-Free and Transformational Grammar
- Recursive and Augmented transition nets