Balancing reactivity and social deliberation in multi-agent systems : from RoboCup to real-world applications
שמור ב:
| Collectivités auteurs: | , |
|---|---|
| מחברים אחרים: | , , |
| פורמט: | Livre numérique |
| שפה: | Anglais |
| יצא לאור: |
Berlin [etc.] :
Springer
[20..].
Cham : Springer Nature |
| סדרה: | Lecture notes in computer science. Lecture notes in artificial intelligence
2103 |
| נושאים: | |
| גישה מקוונת: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| הערה: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Balancing reactivity and social deliberation in multi-agent systems, from RoboCup to real-world applications, Markus Hannebauer, Jan Wendler, Enrico Pagello (eds.), 2001, Berlin, Springer, 1 vol. (VIII-235 p.), Lecture notes in computer science, 3-540-42327-3 • Balancing Reactivity and Social Deliberation in Multi-Agent Systems, Texte imprimé, 9783662197400 |
תוכן הענינים:
- Balancing Reactivity and Social Deliberation in Multi-Agent Systems A Short Guide to the Contributions
- Reactivity and Deliberation: A Survey on Multi-Robot Systems
- II Architectures and Frameworks
- Bridging Deliberation and Reactivity in Cooperative Multi-Robot Systems through Map Focus
- Balancing between Reactivity and Deliberation in the ICAGENT Framework
- On Augmenting Reactivity with Deliberation in a Controlled Manner
- HAC: A Unified View of Reactive and Deliberative Activity
- III Enhanced Reactivity
- Team Cooperation Using Dual Dynamics
- A Hierarchy of Reactive Behaviors Handles Complexity
- Reinforcement Learning for Cooperating and Communicating Reactive Agents in Electrical Power Grids
- Being Reactive by Exchanging Roles: An Empirical Study
- IV Controlled Social Deliberation
- Situation Based Strategic Positioning for Coordinating a Team of Homogeneous Agents
- Deliberation Levels in Theoretic-Decision Approaches for Task Allocation in Resource-Bounded Agents
- Cognition, Sociability, and Constraints.