Modeling and analysis of agents' probabilistic behavior by a non-regenerative stochastic Petri net

Qun Jin, Yoneo Yano, Yoshio Sugasawa

研究成果: Conference article

3 引用 (Scopus)

抜粋

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.

元の言語English
ページ(範囲)187-192
ページ数6
ジャーナルProceedings of the IEEE International Conference on Systems, Man and Cybernetics
1
出版物ステータスPublished - 1996 12 1
外部発表Yes
イベントProceedings of the 1996 IEEE International Conference on Systems, Man and Cybernetics - Beijing, China
継続期間: 1996 10 141996 10 17

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Hardware and Architecture

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