In this paper, we propose an agent-centric approach to resource description and selection in a multiagent information retrieval (IR). In the multiagent system, each agent learns f...
Distributing scarce resources among agents in a way that maximizes the social welfare of the group is a computationally hard problem when the value of a resource bundle is not lin...
We present a framework for verifying systems composed of heterogeneous reasoning agents, in which each agent may have differing knowledge and inferential capabilities, and where t...
Natasha Alechina, Brian Logan, Nguyen Hoang Nga, A...
Abstract. Market-based approaches have a long tradition in supporting of taskassignment multiagent systems. Such systems consist of customer agents with jobs to assign, and provide...
This paper describes design criteria for creating highly embedded, interactive spaces that we call Intelligent Environments. The motivation for building these systems is to bring ...