The typical BDI (belief desire intention) model of agent is not efficiently computable and the strict logic expression is not easily applicable to the AUV (autonomous underwater vehicle) domain with uncertainties. In ...The typical BDI (belief desire intention) model of agent is not efficiently computable and the strict logic expression is not easily applicable to the AUV (autonomous underwater vehicle) domain with uncertainties. In this paper, an AUV fuzzy neural BDI model is proposed. The model is a fuzzy neural network composed of five layers: input ( beliefs and desires) , fuzzification, commitment, fuzzy intention, and defuzzification layer. In the model, the fuzzy commitment rules and neural network are combined to form intentions from beliefs and desires. The model is demonstrated by solving PEG (pursuit-evasion game), and the simulation result is satisfactory.展开更多
This paper presents the initial steps to integrating a distributed discrete event simulation system with a framework for intelligent software agents. The resulting system has a simulation component that is based on th...This paper presents the initial steps to integrating a distributed discrete event simulation system with a framework for intelligent software agents. The resulting system has a simulation component that is based on the high-level architecture (HLA) and an agent component that implements the belief-desire-intention (BDI) approach to agent modelling. The architecture is connected to a real-time information source. The framework was successfully applied to a real-life monitoring system for a tunnel-boring machine excavation project that helped with forecasting and managing the project timelines in response to the changes in the uncertain excavation environment. This project is presented as a test case and demonstrates encouraging results for integrative modelling of large-scale problems with elements of uncertainty.展开更多
Traditional research in automated negotiation is focused on negotiation protocol and strategy.This paper studies automated negotiation from a new point of view, proposes a novel concept, namely negotiating agent, and ...Traditional research in automated negotiation is focused on negotiation protocol and strategy.This paper studies automated negotiation from a new point of view, proposes a novel concept, namely negotiating agent, and discusses its significance in construction of automated negotiation system, with an abstract model formally described and the architecture designed, which supports both goal-directed reasoning and reactive response. A communication model was proposed to construct interaction mechanism used by negotiating agents, in which the negotiation language used by agents is defined.The communication model and the language are defined in a way general enough to support a wide variety of market mechanisms, thus being particularly suitable for flexible applications such as electronic business. The design and expression of the negotiation ontology is also discussed. On the base of the theoretical model of negotiating agent, negotiating agent architecture and negotiating agent communication model (NACM) are explicit and formal specifications for the agents negotiating in an E-business environment; especially, NACM defines the negotiation language template shared among all agents formally and explicitly. The novelty of the communication model is twofold.展开更多
文摘The typical BDI (belief desire intention) model of agent is not efficiently computable and the strict logic expression is not easily applicable to the AUV (autonomous underwater vehicle) domain with uncertainties. In this paper, an AUV fuzzy neural BDI model is proposed. The model is a fuzzy neural network composed of five layers: input ( beliefs and desires) , fuzzification, commitment, fuzzy intention, and defuzzification layer. In the model, the fuzzy commitment rules and neural network are combined to form intentions from beliefs and desires. The model is demonstrated by solving PEG (pursuit-evasion game), and the simulation result is satisfactory.
文摘This paper presents the initial steps to integrating a distributed discrete event simulation system with a framework for intelligent software agents. The resulting system has a simulation component that is based on the high-level architecture (HLA) and an agent component that implements the belief-desire-intention (BDI) approach to agent modelling. The architecture is connected to a real-time information source. The framework was successfully applied to a real-life monitoring system for a tunnel-boring machine excavation project that helped with forecasting and managing the project timelines in response to the changes in the uncertain excavation environment. This project is presented as a test case and demonstrates encouraging results for integrative modelling of large-scale problems with elements of uncertainty.
基金Supported by the National Natural Science Foundation of China ( Nos. 70471027 and 70171011 )
文摘Traditional research in automated negotiation is focused on negotiation protocol and strategy.This paper studies automated negotiation from a new point of view, proposes a novel concept, namely negotiating agent, and discusses its significance in construction of automated negotiation system, with an abstract model formally described and the architecture designed, which supports both goal-directed reasoning and reactive response. A communication model was proposed to construct interaction mechanism used by negotiating agents, in which the negotiation language used by agents is defined.The communication model and the language are defined in a way general enough to support a wide variety of market mechanisms, thus being particularly suitable for flexible applications such as electronic business. The design and expression of the negotiation ontology is also discussed. On the base of the theoretical model of negotiating agent, negotiating agent architecture and negotiating agent communication model (NACM) are explicit and formal specifications for the agents negotiating in an E-business environment; especially, NACM defines the negotiation language template shared among all agents formally and explicitly. The novelty of the communication model is twofold.
