Modeling and analyzing agents' collective options in collaborative decision making

  • Authors:
  • Majed Al-Shawa

  • Affiliations:
  • Electrical and Computer Engineering, University of Waterloo, Waterloo, Ontario, Canada

  • Venue:
  • BI'11 Proceedings of the 2011 international conference on Brain informatics
  • Year:
  • 2011

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Abstract

Despite the cooperation and collaboration in Multi-Agent Collaborative Decision Making Situations, such as Requirements Engineering, System Design, and Product Development, the involved agents still have to satisfy different and conflicting strategic goals and constraints (internal and external) that they have. In most cases, agents adopt an option that considers only the needs and realities of few, while ignoring or suppressing the others' needs and realities. Constrained Rationality is a formal qualitative framework, with a robust methodological approach, to model and analyze ill-structured strategic multi-agent collaborative decision making situations and conflicts. In this paper, we show how the framework is used to: 1) model the collective and individual goals, constraints and priorities of the agents; 2) analyze each of the proposed collective options; and 3) elicit the agents' collective ordinal and cardinal preferences over their options. We illustrate the framework usage and benefits by modeling and analyzing a multi-stakeholder requirements engineering collaborative decision making case.