We generalize AGM belief revision theory to the multi-agent case. To do so, we first generalize the semantics of the single-agent case, based on the notion of ...
We generalize AGM belief revision theory to the multi-agent case. To do so, we first generalize the semantics of the single-agent case, based on the notion.
We generalize AGM belief revision theory to the multi-agent case. To do so, we first generalize the semantics of the single-agent case, based on the notion ...
Jan 3, 2010 · We generalize AGM belief revision theory to the multi-agent case. To do so, we first generalize the semantics of the single-agent case, ...
This work investigates the changes induced by a new piece of objective information made available to one agent in the set represented by a KD45n model and ...
Bibliographic details on Generalizing AGM to a multi-agent setting.
In this paper, we consider centralized multi-agent epistemic planning from the viewpoint of a third person who coordinates all the agents to achieve the goal.
Apr 30, 2024 · There is a fundamental issue of multiple equilibria in a multi-agent setting if we discuss more than two agents and many sub-issues of non ...
AGM belief change aims at modeling the evolution of an agent's beliefs about her environment. In many applications though, a set of agents sharing the same ...
Mar 15, 2024 · We propose a generalized multi-agent reinforcement learning framework (GMARL) by incorporating the data augmentation mechanism of differential privacy.
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