A Quantum Approach to Multi-Agent Systems (MAS), Organizations, and Control
Abstract
In some rapidly approaching future, on a battlefield, deep-space or planetary mission, teams of agents will be confronted with a problem beyond their computational capability, putting missions at risk. This risk arises from a lack of social theory based on first principles for decision-making in the face of ill-defined problems (IDPs). Also, no first principles exist to address the downside of cooperation (e.g., terrorist cells, corruption, and, regarding agents, reductions in computational power from communication costs when an increasing number of agents cooperates interactively). These problems make traditional social models impractical for a multiple-agent system to solve IDPs. In contrast to logical positivist models, such as command or consensus decision models, quantizing the pro-con positions in decision-making may produce a robust model that increases in computational power with "N." Previously, optimum solutions of IDPs were found to occur when incommensurable beliefs interacting before neutral decision makers generated sufficient emotion to process information, "I," but insufficient to impair the interaction, producing more trust compared to cooperation. This model has been extended to the first quantum information density functional theory of groups, especially mergers between organizations. The author now begins to integrate his model with Markovian models. Twenty-nine briefing charts summarize the presentation.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jun 01, 2003
- Accession Number
- ADA466693
Entities
People
- W. F. Lawless
Organizations
- Paine College