Abstract — The purpose of the paper is to introduce a new approach of planning called Assumption-Based Planning. This approach is a very interesting way to devise a planner based on a multi-agent system in which the production of a global shared plan is obtained by conjecture/refutation cycles. Contrary to classical approaches, our contribution relies on the agents reasoning that leads to the production of a plan from planning domains. To take into account complex environments and the partial agents knowledge, we propose to consider the planning problem as a defeasible reasoning where the agents exchange proposals and counter-proposals and are able to reason about uncertainty. The argumentation dialogue between agents must not be viewed as ...
Many AI applications involve the interaction of multiple autonomous agents, requiring those agents t...
The aim of this work is to study an argumentation-based formalism that an agent could use for constr...
Thesis (Ph. D.)--University of Rochester. Dept. of Computer Science, 1995. Simultaneously published ...
Abstract. The purpose of this paper is to introduce a dialectical theory for plan synthesis based on...
The purpose of this paper is to introduce a dialectical theory for plan synthesis based on a multi-a...
The purpose of this poster is to introduce a dialectical theory for plan synthesis based on a multi...
International audienceThe purpose of the paper is to introduce a new approach of planning called Ass...
This paper tackles the problem of devising an intelligent agent able to nd plans under partial knowl...
Many practical planning problems necessitate the generation of a plan under incomplete information a...
Many practical planning problems necessitate the generation of a plan under incomplete information a...
International audienceA realistic model of multi-agent planning must allow us to formalize notions ...
[EN] This paper presents a planning system that uses defeasible argumentation to reason about contex...
Many AI applications involve the interaction of multiple autonomous agents, requiring those agents t...
In this work, we present a new planning formalism called Expectation-Aware planning for decision mak...
Through cooperation, agents can transcend their individual capabilities and achieve goals that would...
Many AI applications involve the interaction of multiple autonomous agents, requiring those agents t...
The aim of this work is to study an argumentation-based formalism that an agent could use for constr...
Thesis (Ph. D.)--University of Rochester. Dept. of Computer Science, 1995. Simultaneously published ...
Abstract. The purpose of this paper is to introduce a dialectical theory for plan synthesis based on...
The purpose of this paper is to introduce a dialectical theory for plan synthesis based on a multi-a...
The purpose of this poster is to introduce a dialectical theory for plan synthesis based on a multi...
International audienceThe purpose of the paper is to introduce a new approach of planning called Ass...
This paper tackles the problem of devising an intelligent agent able to nd plans under partial knowl...
Many practical planning problems necessitate the generation of a plan under incomplete information a...
Many practical planning problems necessitate the generation of a plan under incomplete information a...
International audienceA realistic model of multi-agent planning must allow us to formalize notions ...
[EN] This paper presents a planning system that uses defeasible argumentation to reason about contex...
Many AI applications involve the interaction of multiple autonomous agents, requiring those agents t...
In this work, we present a new planning formalism called Expectation-Aware planning for decision mak...
Through cooperation, agents can transcend their individual capabilities and achieve goals that would...
Many AI applications involve the interaction of multiple autonomous agents, requiring those agents t...
The aim of this work is to study an argumentation-based formalism that an agent could use for constr...
Thesis (Ph. D.)--University of Rochester. Dept. of Computer Science, 1995. Simultaneously published ...