Agent with Reasoning and Learning, the Structure Design

Abstract

Reasoning and learning are the most powerful intellectual functions. It is not easy to emulate them. Main problem is determined by nature of reasoning that is based on computation with words instead of computation with numbers. There are a lot of different approaches to the knowledge representation in the agent's knowledge base. The most important languages of knowledge representation are preposition logic and predicate logic. Design of the agent models of intentional (conscious) and unintentional (unconscious) reasoning (intuition) with multi-knowledge base structure based on preposition and predicate logic, learning and heuristic generation are topics of this discussion.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 2004
Accession Number
ADA516084

Entities

People

  • Leonid M. Polyakov

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Applied Computer Science
  • Artificial Intelligence
  • Artificial Intelligence Software
  • Computer Languages
  • Computer Programming
  • Computer Programs
  • Computer Science
  • Databases
  • Elimination
  • Formal Languages
  • Instructions
  • Language
  • Models
  • New York
  • Reasoning

Fields of Study

  • Computer science

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Artificial Intelligence