Accepted to Special Issue on Software Agents and Simulation, SIMULATION, April 2001 A Distributed Agent-based Simulation Environment for Interference Detection and Resolution

this paper, a two-level architecture is developed and implemented for the interactive simulation and evaluation of a distributed agent-based simulation environment designed to detect and resolve interference in naval radar units. The Java-based simulation is designed as a two level software architecture incorporating: i) multiple radars on each ship controlled through a lower-level intra-ship interference control module, and, ii) multiple ships in a group coordinated through a higher-level interference control module. Each ship's interference detection and resolution mechanism, termed a control agent, is composed of these two separate levels, which dynamically coordinate to detect and then resolve interference problems using three different coordination strategies - a Master-Slave, a Locally Autonomous and a simple Negotiation mod

Sensible Agents

The practical deployment of distributed agent-based systems mandates that each agent behave sensibly. This paper focuses on the development of flexible, responsive, adaptive systems based on Sensible Agents. Sensible Agents perceive, process, and respond based on an understanding of both local and system goals. Each agent is capable of (1) deliberative or reactive planning and execution of one or more domain-specific service /task, (2) maintaining and interpreting knowledge about states, events, and goals related to itself, other agents, and the environment, and (3) adapting its behavior according to its understanding of its own local goals and overall system goals. This paper addresses the above issues in the context of applied semiotics, a field that analyzes and develops the formal tools of knowledge acquisition, representation, organization, generation, enhancement, communication, and utilization. A Sensible Agent architecture has been developed where each agent is composed of five..