A Quantum Perturbation Model (QPM) of knowledge fusion and organizational mergers

William F. Lawless, James M. Grayson

Research output: Contribution to journalConference articlepeer-review

7 Scopus citations


Future multiple agent system (MAS) missions are at risk whenever agent interactions occur faster than humans can intervene. Yet, no first principles exist that can be applied to improve mission success, solve ill-defined problems (idp's), or increase autonomy. To address this issue, agent mediated knowledge management (AMKM) must determine the fundamentals of information, I, and knowledge, K, generation plus their fundamental relations with agent organizations, decision-making, trust, cooperation, and competition. With the discovery of a group process rate equation, an ab initio approach to a new rational perspective of organization formation based on first principles was linked with K fusion and organizational mergers. Coupled Kolmogorov equations for I and K required distinguishing stable procedural-algorithmic K from unstable interaction-belief-expectations K (KX). Results suggest organizations use endogenous feedback from perturbations to control, "tune", or defend against competition; conversely, exogenous I modifies competitive attacks against an organization. The quicker to respond survives.

Original languageEnglish (US)
Pages (from-to)143-161
Number of pages19
JournalLecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)
StatePublished - 2004
Externally publishedYes
EventInternational Symposium - AMKM 2003: Agent-Mediated Knowledge Management - Stanford, CA, United States
Duration: Mar 24 2003Mar 26 2003

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)


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