'Wumpus world characterization' diaporamas de présentation

Notes 7: Knowledge Representation, The Propositional Calculus

Notes 7: Knowledge Representation, The Propositional Calculus. ICS 271 Fall 2008. Outline. Representing knowledge using logic Agent that reason logically A knowledge based agent Representing and reasoning with logic Propositional logic Syntax Semantic validity and models

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Logical Agents

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Logical Agents

Logical Agents. Chapter 7. Outline. Knowledge-based agents Wumpus world Logic in general - models and entailment Propositional (Boolean) logic Equivalence, validity, satisfiability Inference rules and theorem proving forward chaining backward chaining resolution . Knowledge bases.

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Logical Agents

Logical Agents. Chapter 7. Why Do We Need Logic?. Problem-solving agents were very inflexible: hard code every possible state. Search is almost always exponential in the number of states. Problem solving agents cannot infer unobserved information.

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Artificial Intelligence: Logic agents

Artificial Intelligence: Logic agents. AI in the News.

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Logical Agents

Logical Agents. Chapter 7. Knowledge bases. Knowledge base (KB): set of sentences in a formal language Inference: deriving new sentences from the KB. E.g.: A>5, B>A, ? B>5

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Artificial Intelligence 1: Logic agents

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74.419 Artificial Intelligence Knowledge-based Agents

74.419 Artificial Intelligence Knowledge-based Agents. Russell and Norvig, Ch. 6, 7. Knowledge-Based Agents. Reflex agents find their way from Arad to Bucharest by dumb luck

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Artificial Intelli-gence 1: logic agents

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Artificial Intelligence: Logic agents

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Logical Agents

Logical Agents. Chapter 7. Why Do We Need Logic?. Problem-solving agents were very inflexible: hard code every possible state. Search is almost always exponential in the number of states. Problem solving agents cannot infer unobserved information. Knowledge & Reasoning.

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