Plural-Soar: A Prolegomenon to Artificial Agents and Organizational Behavior

Abstract

In this chapter, we show how artificial intelligence (AI) can be applied to the study of organizations. Specifically, we construct an AI model of a small organization in which intelligent agents communicate and co-operate to accomplish a task. The task involves filling orders by retrieving items stored at various locations in a warehouse. Each agent is represented on its own computer using a sophisticated software architecture (called Soar) that is capable of serving as a basis for general intelligence and learning from experience. To frame this research we focus on this question: do the communication and memory capabilities of the agent affect which coordination scheme is most effective? We find that increasing agents' capabilities under certain conditions, actually degrade organizational performance.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1992
Accession Number
AD1173634

Entities

People

  • Allen Newell
  • Johan Kjaer-hansen
  • Kathleen Carley
  • Michael Prietula

Organizations

  • University of Amsterdam

Tags

Communities of Interest

  • Autonomy
  • Human Systems

DTIC Thesaurus Topics

  • Acquisition
  • Artificial Intelligence
  • Cognition
  • Cognitive Science
  • Communication Channels
  • Complex Systems
  • Computer Simulations
  • Computers
  • Conveyors
  • Environment
  • Experimental Design
  • Information Processing
  • Intelligent Agents
  • Learning
  • Manipulation (Psychology)
  • Organizational Structure
  • Psychology
  • Simulations
  • Teamwork

Fields of Study

  • Computer science

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Artificial Intelligence
  • Joint Military Operations and Doctrine.

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy