Cheryl E. Martin

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Autonomy is an often cited but rarely agreed upon agent characteristic. As the demand for agents capable of adjustable autonomy increases, a formal definition of agent autonomy becomes necessary to provide a foundation for work in the area as well as to support operational deployment of the concept. This paper presents such a definition. Based on this(More)
This article presents a capability called Adaptive Decision-Making Frameworks (ADMF) and shows that it can result in significantly improved system performance across run-time situation changes in a multi-agent system. Specifically, ADMF can result in improved and more robust performance compared to the use of a single static decision-making framework (DMF).(More)
Our approach For the past seven years, we’ve worked on developing intelligent software for the control of advanced life support systems. We fielded this control software in an operational environment in which test engineers manually controlled and continuously monitored all life support systems from a console in a test control room. Such operations required(More)
This paper explores the nature of conflict in agent-based systems. A conflict classification scheme based on a differentiation between goal, plan, and belief conflicts is presented. A formal definition of these three conflict classes is provided. A three layered representation of conflict is employed. Each layer is assigned to its respective conflict type(More)
Multi-agent systems require adaptability to perform effectively in complex and dynamic environments. This article shows that agents should be able to benefit from dynamically adapting their decision-making frameworks. A decision-making framework describes the set of multi-agent decision-making interactions exercised by members of an agent group in the(More)
This paper explores the process of representing and classifying conflicts in agentbased systems. These capabilities form the basis for an in-progress implementation of a domain-independent conflict management framework for multi-agent environments. The following hypothesis is to be tested under this implementation: the most appropriate conflict resolution(More)
An important aspect of interaction among groups of humans and software agents is supporting collaboration among these heterogeneous agents while they operate remotely and communicate asynchronously. We are developing an architecture that supports multiple humans interacting with multiple automated control agents in such a manner. We are evaluating this(More)