Research disciplines connected to and at the foundation of AI Brief history of

Research disciplines connected to and at the

This preview shows page 29 - 39 out of 56 pages.

Research disciplines connected to and at the foundation of AI. Brief history of AI. Challenges for the future. Overview of class syllabus. 02-Intelligent Agents. [AIMA Ch 2] What is an intelligent agent? Examples. Doing the right thing (rational action). Performance measure. Autonomy. Environment and agent design. Structure of agents. Agent types. Reflex agents. Reactive agents. Reflex agents with state. Goal-based agents. Utility-based agents. Mobile agents. Information agents. Course Overview s e n s o r s e f f e c t o r s Agent
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CS 561, Lecture 1 Course Overview (cont.) 03/04-Problem solving and search. [AIMA Ch 3] Example: measuring problem. Types of problems. More example problems. Basic idea behind search algorithms. Complexity. Combinatorial explosion and NP completeness. Polynomial hierarchy. 05-Uninformed search. [AIMA Ch 3] Depth- first. Breadth-first. Uniform-cost. Depth-limited. Iterative deepening. Examples. Properties. 06/07-Informed search. [AIMA Ch 4] Best- first. A* search. Heuristics. Hill climbing. Problem of local extrema. Simulated annealing. 3 l 5 l 9 l Using these 3 buckets, measure 7 liters of water. Traveling salesperson problem How can we solve complex problems?
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CS 561, Lecture 1 Course Overview (cont.) Practical applications of search. 08/09-Game playing. [AIMA Ch 5] The minimax algorithm. Resource limitations. Aplha-beta pruning. Elements of chance and non- deterministic games. tic-tac-toe
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CS 561, Lecture 1 Course Overview (cont.) 10-Agents that reason logically 1. [AIMA Ch 6] Knowledge-based agents. Logic and representation. Propositional (boolean) logic. 11-Agents that reason logically 2. [AIMA Ch 6] Inference in propositional logic. Syntax. Semantics. Examples. Towards intelligent agents wumpus world
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CS 561, Lecture 1 Course Overview (cont.) Building knowledge-based agents: 1 st Order Logic 12-First-order logic 1. [AIMA Ch 7] Syntax. Semantics. Atomic sentences. Complex sentences. Quantifiers. Examples. FOL knowledge base. Situation calculus. 13-First-order logic 2. [AIMA Ch 7] Describing actions. Planning. Action sequences.
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CS 561, Lecture 1 Course Overview (cont.) Representing and Organizing Knowledge 14/15-Building a knowledge base. [AIMA Ch 8] Knowledge bases. Vocabulary and rules. Ontologies. Organizing knowledge. Kahn & Mcleod, 2000 An ontology for the sports domain
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CS 561, Lecture 1 Course Overview (cont.) Reasoning Logically 16/17/18-Inference in first-order logic. [AIMA Ch 9] Proofs. Unification. Generalized modus ponens. Forward and backward chaining. Example of backward chaining
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CS 561, Lecture 1 Course Overview (cont.) Examples of Logical Reasoning Systems 19-Logical reasoning systems. [AIMA Ch 10] Indexing, retrieval and unification. The Prolog language. Theorem provers. Frame systems and semantic networks. Semantic network used in an insight generator (Duke university)
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CS 561, Lecture 1 Course Overview (cont.) Systems that can Plan Future Behavior 20-Planning. [AIMA Ch 11] Definition and goals. Basic representations for planning. Situation space and plan space. Examples.
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CS 561, Lecture 1 Course Overview (cont.) Expert Systems 21-Introduction to CLIPS. [handout] Overview of modern rule-based expert systems. Introduction to
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