Lecture Notes for CMSC 421 - INTRO ARTIFICIAL INTELLI with Nau at Maryland (UMD)

Notes Information

Material Type:Note
Subject:Computer Science
University:University of Maryland
  • Forward Chaining
  • Formal Structure
  • Propositional
  • Conjunction
  • Characterization
  • Observations
  • Enumeration
  • Conjunctive
  • Consequences
  • Implementation
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Last update: October 9, 2008 Logical agents CMSC 421: Chapter 7 CMSC 421: Chapter 7 1 Outline } Knowledge-based agents } Wumpus world } Logic in general|models and entailment } Propositional (Boolean) logic } Equivalence, validity, satis ability } Inference rules and theorem proving { forward chaining { backward chaining { resolution CMSC 421: Chapter 7 2 Knowledge bases Inference engine Knowledge base domain?specific content domain?independent algorithms Knowledge base = set of sentences in a formal language Declarative approach to building an agent (or other system): Tell it what it needs to know Then it can Ask itself what to do|answers should follow from the KB Agents can be viewed at the knowledge level i.e., what they know, regardless of how implemented Or at the implementation level i.e., data structures in KB and algorithms that manipulate them CMSC 421: Chapter 7 3 A simple knowledge-based agent function KB-Agent(percept) returns an action static: KB, a knowledge base t...

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