Introspection mechanisms are employed in agent architectures to improve agent performance. However, there is currently no approach to introspection that makes automatic adjustment...
Evan A. Krause, Paul W. Schermerhorn, Matthias Sch...
In this paper we present the agent architecture development environment ADE, intended for the design, implementation, and testing of distributed agent architectures. After a short...
We consider the problem of coordinating a team of agents engaged in executing a set of inter-dependent, geographically dispersed tasks in an oversubscribed and uncertain environme...
Laura Barbulescu, Zachary B. Rubinstein, Stephen F...
Software design is the hardest part of creating intelligent agents. Therefore agent architectures should be optimized as design tools. This paper presents an architectural synthes...
Abstract. This paper describes AbIMA, an agent-based intelligent mobile assistant for supporting users prior to and during the execution of their tasks. The agent is based on the w...
Talal Rahwan, Tarek Rahwan, Iyad Rahwan, Ronald As...
The concept of an agent has recently become important in Artificial Intelligence (AI), and its relatively youthful subfield, Distributed AI (DAI). Our aim in this paper is to poin...
The CASA architecture describes a platform for the provisioning of services by agents by supporting three levels of agent design. At the base level is a framework to build an agen...
Agent architectures have to cope with a number of internal properties (concerns), such as autonomy, learning, and mobility. As the agent complexity increases, these agent propertie...
This paper introduces a reference architecture for developing agent-based systems that preserves core concepts of agenthood while minimizing cumbersome features found in other age...