Add to ORKGProceedings of the AISB’00 Symposium on AI Planning and Intelligent Agents. Birmingham, UK, 17-20 April, 2000.Agents for applications in dynamic environments require artificial intelligence techniques to solve problems to achieve their objectives. For example, they must develop plans of actions to carry out missions in their environment, in other words, to achieve some state in the world. But also, the agents must fulfill real-time requirements that arise because the characteristics of the applications and the dynamism of the environment. In this paper we analyze the use of a schedule of activity in an agent architecture to control the resources (time) needed by agents to accomplish their objectives.Publicad
This paper presents a planning model integrated within a TB-CBP-BDI real-time intelligent agent that...
Abstract. Open environments are characterized by their uncertainty and non-determinism. Agents need ...
Abstract. A large number of important applications are reducible to combinatorial models. Almost all...
Proceedings of the AISB’00 Symposium on AI Planning and Intelligent Agents. Birmingham, UK, 17-20 Ap...
In this paper we present AMSIA, an agent architecture that combines the possibility of using di eren...
Intelligent agents perform multiple concurrent tasks requiring both knowledge-based reasoning and in...
This paper is a study on agent technology, and discusses the feasibility of achieving time schedulin...
The research described in this thesis stems from ROBOCARE1, a three year research project aimed at d...
This thesis reports on research into the applicability of intelligent agents in the airline scheduli...
In the last decades, the use of Multi-Agent Systems (MAS) resulted in being the most relevant approa...
This thesis presents an approach to generating intelligent behaviour for agents in computer game-lik...
Automated agents operating in a real-time environment face the challenge of not having sufficient re...
Multi-agent system architecture for coordination of the real-time control functions in complex indus...
This thesis presents a real-time multi-agent framework targeted for soft real-time applications. Suc...
This paper presents a planning model integrated within a TB-CBP-BDI real-time intelligent agent that...
Abstract. Open environments are characterized by their uncertainty and non-determinism. Agents need ...
Abstract. A large number of important applications are reducible to combinatorial models. Almost all...
Proceedings of the AISB’00 Symposium on AI Planning and Intelligent Agents. Birmingham, UK, 17-20 Ap...
In this paper we present AMSIA, an agent architecture that combines the possibility of using di eren...
Intelligent agents perform multiple concurrent tasks requiring both knowledge-based reasoning and in...
This paper is a study on agent technology, and discusses the feasibility of achieving time schedulin...
The research described in this thesis stems from ROBOCARE1, a three year research project aimed at d...
This thesis reports on research into the applicability of intelligent agents in the airline scheduli...
In the last decades, the use of Multi-Agent Systems (MAS) resulted in being the most relevant approa...
This thesis presents an approach to generating intelligent behaviour for agents in computer game-lik...
Automated agents operating in a real-time environment face the challenge of not having sufficient re...
Multi-agent system architecture for coordination of the real-time control functions in complex indus...
This thesis presents a real-time multi-agent framework targeted for soft real-time applications. Suc...
This paper presents a planning model integrated within a TB-CBP-BDI real-time intelligent agent that...
Abstract. Open environments are characterized by their uncertainty and non-determinism. Agents need ...
Abstract. A large number of important applications are reducible to combinatorial models. Almost all...