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 language | English |
|---|---|
| Pages (from-to) | 187-192 |
| Number of pages | 6 |
| Journal | Proceedings of the IEEE International Conference on Systems, Man and Cybernetics |
| Volume | 1 |
| Publication status | Published - 1996 Dec 1 |
| Externally published | Yes |
| Event | Proceedings of the 1996 IEEE International Conference on Systems, Man and Cybernetics - Beijing, China Duration: 1996 Oct 14 → 1996 Oct 17 |
ASJC Scopus subject areas
- Control and Systems Engineering
- Hardware and Architecture