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

Qun Jin, Yoneo Yano, Yoshio Sugasawa

Research output: Contribution to journalConference article

3 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)187-192
Number of pages6
JournalProceedings of the IEEE International Conference on Systems, Man and Cybernetics
Volume1
Publication statusPublished - 1996 Dec 1
Externally publishedYes
EventProceedings of the 1996 IEEE International Conference on Systems, Man and Cybernetics - Beijing, China
Duration: 1996 Oct 141996 Oct 17

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Hardware and Architecture

Fingerprint Dive into the research topics of 'Modeling and analysis of agents' probabilistic behavior by a non-regenerative stochastic Petri net'. Together they form a unique fingerprint.

  • Cite this