Due to the non-stationary environment, learning in multi-agent systems is a challenging problem. This paper first introduces a new gradient-based learning algorithm, augmenting th...
In this paper, we present an integrated planning and robotic architecture that actively directs an agent engaged in an urban search and rescue (USAR) scenario. We describe three s...
Kartik Talamadupula, J. Benton, Paul W. Schermerho...
Using a model of agent behavior based around envy-reducing strategies, we describe an iterated combinatorial auction in which the allocation and prices converge to a solution in t...
A Multi-Agent based approach to clustering using a generic Multi-Agent Data Mining (MADM) framework is described. The process use a collection of agents, running several different ...
Santhana Chaimontree, Katie Atkinson, Frans Coenen
Abstract. We present a method for learning characteristic motion patterns of mobile agents. The method works on two levels. On the first level, it uses the expectation-maximization...
Referral networks are a kind of P2P system consisting of autonomous agents who seek and provide services, or refer other service providers. Key applications include service discove...
In this paper, we propose a dynamic pricing strategy which is used for a market-based resource allocation mechanism in a local Grid. We implement an agent based Grid economy in whi...
Abstract. Agent platforms designed for Internet-scale, open networks need scalable and secure location services for agents and services. The location service based on the Fonkey pu...
Benno J. Overeinder, Michel Oey, Reinier Timmer, R...
This paper describes the operational characteristics of “CompTorrent”, a general purpose distributed computing platform that provides a low entry cost to creating new distribut...
A workflow involves the coordinated execution of multiple operations and can be used to capture business processes. Typical workflow management systems are centralised and rigid; t...
Joey Sik Chun Lam, Frank Guerin, Wamberto Weber Va...