We address in this paper a problem of autonomous agents performing in a common environment where each agent has its goal to achieve before a given deadline. Agents must be able to...
This paper examines agent-based systems designed for a variety of human learning tasks. These are typically split into two areas: "training", which generally refers to a...
Decentralized partially observable Markov decision processes (DEC-POMDPs) form a general framework for planning for groups of cooperating agents that inhabit a stochastic and part...
Matthijs T. J. Spaan, Geoffrey J. Gordon, Nikos A....
In this paper we present an agent language that combines agent functionality with an action theory and model-theoretic semantics. The language is based on abductive logic programmi...
Agent based intrusion detection systems IDS have advantages such as scalability, recon gurability, and survivability. In this paper, we introduce a mobile-agent based IDS, called ...
Ira S. Moskowitz, Myong H. Kang, LiWu Chang, Garth...