Neural-symbolic systems are hybrid systems that integrate symbolic logic and neural networks. The goal of neural-symbolic integration is to benefit from the combination of feature...
In the last years we have developed a platform for the realization of embodied (conversational) agents, in a distributed logic programming framework. In this paper we will present...
Most Artificial Intelligence programs lack generality because they reason with a single domain theory that is tailored for a specific task and embodies a host of implicit assumpti...
Work on agent communication languages has since long striven to achieve adequate speech act semantics; partly, the problem is that references to an agent’s architecture (in parti...
Mobile agent technology is an emerging technology that allows easier design, implementation, and maintenance of distributed systems. Mobility enables agents to reduce network load,...