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A Non-cooperative Game-Theoretic Approach for Conflict Resolution in Multi-agent Planning
- Source :
- RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia, instname, Group Decision and Negotiation, 30(1)
- Publication Year :
- 2021
- Publisher :
- Springer-Verlag, 2021.
-
Abstract
- [EN] This paper presents FENOCOP, a game-theoretic approach for solving non-cooperative planning problems that involve a set of self-interested agents. Each agent wants to execute its own plan in a shared environment but the plans may be rendered infeasible by the appearance of potential conflicts; agents are willing to coordinate their plans in order to avoid conflicts during a joint execution. In order to attain a conflict-free combination of plans, agents must postpone the execution of some of their actions, which negatively affects their individual utilities. FENOCOP is a two-level game approach: the General Game selects a Nash equilibrium among several combinations of plans, and the Scheduling Game generates, for a combination of plans, an executable outcome by introducing delays in the agents¿ plans. For the Scheduling Game, we developed two algorithms that return a Pareto optimal and fair equilibrium from which no agent would be willing to deviate.<br />This work is supported by the Spanish MINECO project TIN2017-88476-C2-1-R. Jaume Jordan is funded by grant APOSTD/2018/010 of Generalitat Valenciana - Fondo Social Europeo and by UPV PAID-06-18 project.
- Subjects :
- Fairness
Operations research
Computer science
Strategy and Management
General Decision Sciences
02 engineering and technology
Outcome (game theory)
Nash equilibrium
Scheduling (computing)
symbols.namesake
Arts and Humanities (miscellaneous)
020204 information systems
Management of Technology and Innovation
Conflict resolution
Pareto optimal
0202 electrical engineering, electronic engineering, information engineering
Game theory
Multi-agent planning
Non-cooperative game
General Social Sciences
computer.file_format
Planning
symbols
020201 artificial intelligence & image processing
Executable
computer
LENGUAJES Y SISTEMAS INFORMATICOS
Subjects
Details
- Language :
- English
- ISSN :
- 09262644
- Database :
- OpenAIRE
- Journal :
- RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia, instname, Group Decision and Negotiation, 30(1)
- Accession number :
- edsair.doi.dedup.....c7e940ee2758550471717698d1a0a111
- Full Text :
- https://doi.org/10.1007/s10726-020-09703-0