Szczegóły publikacji
Opis bibliograficzny
Stochastic model of evolutionary and immunological multi-agent systems: parallel execution of local actions / Robert SCHAEFER, Aleksander BYRSKI, Maciej Smołka // Fundamenta Informaticae ; ISSN 0169-2968. — 2009 — vol. 95 iss. 2–3, s. 325–348. — Bibliogr. s. 347–348, Abstr.
Autorzy (3)
- AGHSchaefer Robert
- AGHByrski Aleksander
- Smołka Maciej
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 48858 |
|---|---|
| Data dodania do BaDAP | 2009-12-08 |
| Tekst źródłowy | URL |
| DOI | 10.3233/FI-2009-153 |
| Rok publikacji | 2009 |
| Typ publikacji | artykuł w czasopiśmie |
| Otwarty dostęp |  |
| Czasopismo/seria | Fundamenta Informaticae |
Abstract
The refined model for the biologically inspired agent-based computation systems EMAS and iEMAS conforming to the BDI standard is presented. Moreover, their evolution is expressed in the form of the stationary Markov chains. This paper generalizes the results obtained by Byrski and Schaefer [7] to a strongly desired case in which some agents’ actions can be executed in parallel. In order to find the Markov transition rule, the precise synchronization scheme was introduced, which allows to establish the stepwise stochastic evolution of the system. The crucial feature which allows to compute the probability transition function in case of parallel execution of local actions is the commutativity of their transition operators. Some abstract conditions expressing such a commutativity which allow to classify the agents’ actions as local or global are formulated and verified in a very simple way. The above-mentioned Markov model constitutes the basis of the asymptotic analysis of EMAS and iEMAS necessary to evaluate their search possibilities and efficiency.
