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D. C. Han

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AAAI Conference 2000 Conference Paper

Sensible Agents: Demonstration of Dynamic Adaptive Autonomy

  • K. S. Barber
  • D. C. Han
  • D. N. Lam
  • C. E. Martin

The analysis and design of large, complex systems mandates a formal methodology and supporting tools to assist system development teams throughout the system lifecycle. The multitude of personnel, the diversity of viewpoints, and the transient nature of personnel and technology in relation to the system lifecycle constrains the process by which 1) application domain requirements are acquired, analyzed and modeled, 2) a system architecture is derived from those requirements, 3) technology decisions are made and implementation progresses, and 4) the system is tested and maintained. A formal methodology for the entire lifecycle keeps team members coordinated and offers a mechanism to gauge progress. Large projects with many personnel responsible for making decisions require a formal process and automated support to assist team members in documenting their decisions. Traceability of decisions and documentation rationale is key to understanding the impact of decisions related to modeling, design, implementation, test, and maintenance. The SEPA effort proposes both a methodology and supporting tool suite (leveraging various knowledge representation and reasoning schemes) to facilitate development of object-oriented designs from evolving requirements. SEPA creates traceable, comprehensible, and extensible system design specifications based on requirements from system clients and domain experts. The funnel abstraction is chosen to represent the narrowing, refining, and structuring of user requirements into a system design. User inputs are refined by: (1) merging inputs from multiple sources, (2) distinguishing between inputs relating to system requirements and those relating to general domain knowledge, (3) constructing an object-oriented architecture, (4) mapping requirements to technology solutions, and (5) providing a framework for evaluating system design.

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AAAI Conference 1999 Short Paper

A Framework for Problem Solving Activities in Multi-Agent Systems

  • D. C. Han
  • T. H. Liu
  • K. S. Barber
  • University of Texas at Austin

The basic research issues in multi-agent systems (MAS) include problem decomposition, task distribution, communication, plan synthesis, coordination, conflict resolution, and organization design. For practical implementation, there is a need for an integrated framework that can help MAS designers to select appropriate techniques for building their specific systems. Difficulties in the integration of techniques for each of these issues is due to the interdependencies among the issues themselves. We propose a framework that describes the activities that occur during problem solving. This framework is based upon the premise that meta-level reasoning about the agents’ activities adds flexibility to each agent, allowing them to adjust to changes in their environments or operating conditions.

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