Planning has traditionally focused on single agent systems. Although planning domain languages have been extended to multiagent domains, solution concepts have not. Previous solution concepts either focus on planning for teams of agents with a single goal, or on a single agent in an environment containing other agents with unknown and unpredictable behavior. In reality other agents are usually acting to achieve their own explicit goals, which may not be the same or even related. In game theory the notion of an equilibria provides a framework for thinking about self-interested, utility maximizing agents. We define a formalization of the multiagent nondeterministic planning problem and introduce a notion of equilibria inspired by the game the...
This work proposes a novel high-level paradigm, agent planning programs, for modeling agents behavio...
Multi-agent systems iss multiple agents in two different settings. In the first, agents are able to ...
[EN] When self-interested agents plan individually, interactions that prevent them from executing th...
Multiagent planning is computationally hard in the gen-eral case due to the exponential blowup in th...
Single-agent planning in a multi-agent environment is challenging because the actions of other agent...
[EN] This paper presents FENOCOP, a game-theoretic approach for solving non-cooperative planning pro...
In real-world planning problems, we must reason not only about our own goals, but about the goals of...
Single-agent planning in a multi-agent environment is chal-lenging because the actions of other agen...
Multi-agent planning is a fundamental problem in multi-agent systems that has acquired a variety of ...
The promise of multi-agent systems is that multiple agents can solve problems more efficiently than ...
Many different problems are called distributed or multiagent planning problems. Existing approaches ...
When two or more self-interested agents put their plans to execution in the same environment, confli...
Classical planning problems consist of an environment in a predefined state; a set of deterministic ...
International audienceA realistic model of multi-agent planning must allow us to formalize notions ...
The purpose of this poster is to introduce a dialectical theory for plan synthesis based on a multi...
This work proposes a novel high-level paradigm, agent planning programs, for modeling agents behavio...
Multi-agent systems iss multiple agents in two different settings. In the first, agents are able to ...
[EN] When self-interested agents plan individually, interactions that prevent them from executing th...
Multiagent planning is computationally hard in the gen-eral case due to the exponential blowup in th...
Single-agent planning in a multi-agent environment is challenging because the actions of other agent...
[EN] This paper presents FENOCOP, a game-theoretic approach for solving non-cooperative planning pro...
In real-world planning problems, we must reason not only about our own goals, but about the goals of...
Single-agent planning in a multi-agent environment is chal-lenging because the actions of other agen...
Multi-agent planning is a fundamental problem in multi-agent systems that has acquired a variety of ...
The promise of multi-agent systems is that multiple agents can solve problems more efficiently than ...
Many different problems are called distributed or multiagent planning problems. Existing approaches ...
When two or more self-interested agents put their plans to execution in the same environment, confli...
Classical planning problems consist of an environment in a predefined state; a set of deterministic ...
International audienceA realistic model of multi-agent planning must allow us to formalize notions ...
The purpose of this poster is to introduce a dialectical theory for plan synthesis based on a multi...
This work proposes a novel high-level paradigm, agent planning programs, for modeling agents behavio...
Multi-agent systems iss multiple agents in two different settings. In the first, agents are able to ...
[EN] When self-interested agents plan individually, interactions that prevent them from executing th...