TY - JOUR
T1 - Modeling and analysis of agents' probabilistic behavior by a non-regenerative stochastic Petri net
AU - Jin, Qun
AU - Yano, Yoneo
AU - Sugasawa, Yoshio
PY - 1996/12/1
Y1 - 1996/12/1
N2 - When interacting and acting in a dynamic multiagent environment, an agent must ask itself what is presently its best course of action given what it now knows about what the environment will be like when it intends to act. It requires some ability to make decision by computing the probability that relevant propositions will hold at a specified point of time. Among the interaction and action, some of them can be characterized by an exponential time distribution, others might not. This paper presents a non-regenerative stochastic Petri net that allows arbitrary time distributions, use it to model and analyze agents' probabilistic behavior.
AB - When interacting and acting in a dynamic multiagent environment, an agent must ask itself what is presently its best course of action given what it now knows about what the environment will be like when it intends to act. It requires some ability to make decision by computing the probability that relevant propositions will hold at a specified point of time. Among the interaction and action, some of them can be characterized by an exponential time distribution, others might not. This paper presents a non-regenerative stochastic Petri net that allows arbitrary time distributions, use it to model and analyze agents' probabilistic behavior.
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M3 - Conference article
AN - SCOPUS:0030382348
SN - 0884-3627
VL - 1
SP - 187
EP - 192
JO - Proceedings of the IEEE International Conference on Systems, Man and Cybernetics
JF - Proceedings of the IEEE International Conference on Systems, Man and Cybernetics
T2 - Proceedings of the 1996 IEEE International Conference on Systems, Man and Cybernetics
Y2 - 14 October 1996 through 17 October 1996
ER -