In real world applications, agents - be they software agents or autonomous robots - inevitably face erroneous situations that have not been planned for. Re-planning can sometimes ...
Robert J. Ross, Rem W. Collier, Gregory M. P. O'Ha...
We consider the problem of finding a commonly agreed upon diagnosis for errors observed in a system monitored by a number of different expert agents. Each agent is assumed to hav...
The development of autonomous multi-agent systems acting upon the interests of one or more users involves the elicitation of preferences of these users. In decision theory, models...
The ability to generate narrative is of importance to computer systems that wish to use story effectively for entertainment, training, or education. We identify two properties of ...
We present negotiation schemes for efficient role adoption that enhance utility in organizations. In one scheme, local utility computations determine role adoption. In the second ...
Decision-theoretic models have become increasingly popular as a basis for solving agent and multiagent problems, due to their ability to quantify the complex uncertainty and prefe...
Abstract. We present an analysis Trust Analysis Methodology for finding trust issues within pervasive computing systems. It is based on a systematic analysis of scenarios that des...
Much research in multi-agent systems reflects the field’s origins in classical artificial intelligence, showing how various refinements to the internal reasoning of individual a...
Abstract. In recent years, mobile ad-hoc networks (MANET’s) have been deployed in various scenarios, but their scalability is severely restricted by the human operators’ abilit...
In recent years, mobile ad-hoc networks (MANET’s) have been deployed in various scenarios, but their scalability is severely restricted by the human operators’ ability to conf...