Multi-Agent System Development: Design, Runtime, and Analysis

K. S. Barber, J. Ahn, K. Fullam, T. Graser, N. Gujral, D. C. Han, D. N. Lam, R. McKay, J. Park, and M. Vanzin

Dynamic and unexpected events are defining characteristics of numerous application domains. These environments often require decision-makers to solve many problems with insufficient time and resources. To effectively assess options, decision-makers require situation analysis and decision-support tools that model the dynamism of these environments to make rapid, robust decisions. Autonomous agents and multi-agent systems satisfy these requirements for decision-making in dynamic environments. Developing a multi-agent system (MAS) is a challenging task, considering sophisticated agent interactions and uncertain environmental dynamics and domain requirements. This demonstration addresses the comprehensive development process for multi-agent systems; illustrating tools for the initial design of the agent system, the capabilities encoded in the individual agents, and analysis tools that enhance developer comprehension of system behavior.

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