Metrics for Uncertainty in Organizational Decision-Making

Abstract

An agent's behavior is guided by static information from observation that has converged into a stable world view, whether in human-social or computational-agent reality. Examples of convergent world views for human agents abound as single-sided stories, strongly held religious beliefs, well-defended political perspectives, or situation awareness. These are simple, mostly linear rational descriptions of the phenomena. However, the common interaction experienced between two or more human agents reflects the need to construct bi-sided perspectives for multi-agent systems, which until now have remained mathematically intractable. To advance the mathematics of social interaction, we propose that only bi-sided or quantum computational agents will be capable of replicating social phenomena such as the dynamics of human agents, including the more difficult problem of organizational decision-making.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2006
Accession Number
ADA463373

Entities

People

  • C. P. Abubucker
  • Laurent Chaudron
  • W. F. Lawless

Organizations

  • Paine College

Tags

Communities of Interest

  • Autonomy
  • Biomedical
  • C4I
  • Energy and Power Technologies
  • Human Systems
  • Space

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Game Theory
  • Information Processing
  • Information Systems
  • Iraqi-War
  • Measurement
  • Military Operations
  • Multiagent Systems
  • Political Science
  • Psychology
  • Quantum Mechanics
  • Recreation
  • Social Problems
  • Social Psychology
  • Social Sciences
  • Social Welfare
  • Waste Management

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Organizational Psychology.
  • Theoretical Analysis.

Technology Areas

  • Quantum Computing