Intelligence without representation
Artificial Intelligence
Artificial Intelligence
A semantics approach for KQML—a general purpose communication language for software agents
CIKM '94 Proceedings of the third international conference on Information and knowledge management
Agent theories, architectures, and languages: a survey
ECAI-94 Proceedings of the workshop on agent theories, architectures, and languages on Intelligent agents
A cognitive architecture for artificial vision
Artificial Intelligence
Towards collaborative and adversarial learning:: a case study in robotic soccer
International Journal of Human-Computer Studies - Evolution and learning in multiagent systems
An architecture for adaptive intelligent systems
Artificial Intelligence
Hi-index | 0.01 |
We present in this paper a novel approach for the modeling of agents able to react and reason under highly dynamic environments. A hybrid agent architecture is described, which allows to integrate the capacity to react rapidly to instantaneous changes in the environment with the capacity to reason more thoroughly about perceptions and actions. These capacities are implemented as independent processes running concurrently, and exploiting different memorizing abilities. Only a short-term memory is made available to reactive agents, whilst long-term memorizing abilities together with the possibility to reason about incomplete information is provided to cognitive agents. This model is currently experimented and tested under the framework of the RoboCup competition. An application example is provided to support the discussion.