An integrated role-based approach for modeling, designing and implementing multi-agent systems
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1678-4804
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
An integrated role-based approach for modeling, designing and implementing multi-agent systems ; volume:13 ; number:2 ; pages:45-60 ; date:6.2007
Journal of the Brazilian Computer Society / Sociedade Brasileira de Computação ; 13, Heft 2, 45-60, 6.2007
- Urheber
-
Zhang, Xiaoqin
Xu, Haiping
Shrestha, Bhavesh
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1007/BF03192409
- URN
-
urn:nbn:de:101:1-2021082923111528965695
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:33 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Zhang, Xiaoqin
- Xu, Haiping
- Shrestha, Bhavesh
- SpringerLink (Online service)
Ähnliche Objekte (12)
Multi-objective reinforcement learning for designing ethical multi-agent environments
Designing all-pay auctions using deep learning and multi-agent simulation
Multi-agent rationality : proceedings
Governing multi-agent systems
Normative Multi-Agent Systems
Holonic multi-agent systems
Designing with multi-agent systems : a computational methodology for form-finding using behaviors
Communication-robust multi-agent learning by adaptable auxiliary multi-agent adversary generation
Agent and multi-agent systems, Pt. 2
Agent computing and multi-agent systems : proceedings
Agent and multi-agent systems, Pt. 1
GOV-REK: Governed Reward Engineering Kernels for designing robust multi-agent reinforcement learning systems
Multi-objective reinforcement learning for designing ethical multi-agent environments
Designing all-pay auctions using deep learning and multi-agent simulation
Multi-agent rationality : proceedings
Governing multi-agent systems
Normative Multi-Agent Systems
Holonic multi-agent systems
Designing with multi-agent systems : a computational methodology for form-finding using behaviors
Communication-robust multi-agent learning by adaptable auxiliary multi-agent adversary generation
Agent and multi-agent systems, Pt. 2
Agent computing and multi-agent systems : proceedings
Agent and multi-agent systems, Pt. 1
GOV-REK: Governed Reward Engineering Kernels for designing robust multi-agent reinforcement learning systems
Multi-objective reinforcement learning for designing ethical multi-agent environments
Designing all-pay auctions using deep learning and multi-agent simulation
Multi-agent rationality : proceedings
Governing multi-agent systems
Normative Multi-Agent Systems
Holonic multi-agent systems
Designing with multi-agent systems : a computational methodology for form-finding using behaviors
Communication-robust multi-agent learning by adaptable auxiliary multi-agent adversary generation
Agent and multi-agent systems, Pt. 2
Agent computing and multi-agent systems : proceedings
Agent and multi-agent systems, Pt. 1