International audienceThe 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...
Reactive planning using assumptions is a well-known ap-proach to tackle complex planning problems fo...
AbstractIn this paper we discuss techniques for representing and organizing knowledge that enable a ...
[EN] This paper presents a planning system that uses defeasible argumentation to reason about contex...
Abstract — The purpose of the paper is to introduce a new approach of planning called Assumption-Bas...
International audienceThe purpose of this paper is to introduce a dialectical theory for plan synthe...
International audienceThe purpose of this paper is to introduce a dialectical theory for plan synthe...
Many practical planning problems necessitate the generation of a plan under incomplete information a...
The purpose of this poster is to introduce a dialectical theory for plan synthesis based on a multi...
Many practical planning problems necessitate the generation of a plan under incomplete information a...
The research line reported here involves developing an argumentation-based formalism that an agent c...
In this work, we present a new planning formalism called Expectation-Aware planning for decision mak...
Many AI applications involve the interaction of multiple au-tonomous agents, requiring those agents ...
International audienceA realistic model of multiagent planning must allow us to model notions which ...
A realistic model of multi-agent planning must allow us to formalize notions which are absent in cl...
AbstractUncertainty, inherent in most real-world domains, can cause failure of apparently sound clas...
Reactive planning using assumptions is a well-known ap-proach to tackle complex planning problems fo...
AbstractIn this paper we discuss techniques for representing and organizing knowledge that enable a ...
[EN] This paper presents a planning system that uses defeasible argumentation to reason about contex...
Abstract — The purpose of the paper is to introduce a new approach of planning called Assumption-Bas...
International audienceThe purpose of this paper is to introduce a dialectical theory for plan synthe...
International audienceThe purpose of this paper is to introduce a dialectical theory for plan synthe...
Many practical planning problems necessitate the generation of a plan under incomplete information a...
The purpose of this poster is to introduce a dialectical theory for plan synthesis based on a multi...
Many practical planning problems necessitate the generation of a plan under incomplete information a...
The research line reported here involves developing an argumentation-based formalism that an agent c...
In this work, we present a new planning formalism called Expectation-Aware planning for decision mak...
Many AI applications involve the interaction of multiple au-tonomous agents, requiring those agents ...
International audienceA realistic model of multiagent planning must allow us to model notions which ...
A realistic model of multi-agent planning must allow us to formalize notions which are absent in cl...
AbstractUncertainty, inherent in most real-world domains, can cause failure of apparently sound clas...
Reactive planning using assumptions is a well-known ap-proach to tackle complex planning problems fo...
AbstractIn this paper we discuss techniques for representing and organizing knowledge that enable a ...
[EN] This paper presents a planning system that uses defeasible argumentation to reason about contex...