Abstract. In this paper we investigate methods for analyzing the expected value of adding information in distributed task scheduling problems. As scheduling problems are NP-complet...
Trust learning is a crucial aspect of information exchange, negotiation, and any other kind of social interaction among autonomous agents in open systems. But most current probabil...
Abstract. Recent advances in peer to peer (P2P) search algorithms have presented viable structured and unstructured approaches for full-text search. We posit that these existing ap...
Avi Rosenfeld, Claudia V. Goldman, Gal A. Kaminka,...
In this paper, we propose a probabilistic framework targeting three important issues in the computation of quality and trust in decentralized systems. Specifically, our approach a...
In this paper we propose a dialogue game for agents to deliberate over a proposed action. The agents’ dialogue moves are defined by a structured set of argument schemes and crit...
Pancho Tolchinsky, Katie Atkinson, Peter McBurney,...
Abstract In this work we describe the development process of multiagent application design and implementation with Mulan. Our approach can be characterized as model driven developm...
To allow for flexibility in software structures (architectures) especially plugins and agents are proposed solutions. While plugins are used to support the conceptual and practica...
Lawrence Cabac, Michael Duvigneau, Daniel Moldt, B...
Abstract. HeCaSe2 is a multi-agent system that intends to help doctors to apply clinical guidelines to their patients in a semi-automatic fashion. HeCaSe2 agents need a lot of (sca...
We present a multi-agent system designed to detect malicious traffic in high-speed networks. In order to match the performance requirements related to the traffic volume, the net...