We introduce a constrained mechanism design setting called internal implementation, in which the mechanism designer is explicitly modeled as a player in the game of interest. This...
This paper proposes a framework for agent-based distributed machine learning and data mining based on (i) the exchange of meta-level descriptions of individual learning processes ...
Abstract Multi-agent systems (MASs) is an area of distributed artificial intelligence that emphasizes the joint behaviors of agents with some degree of autonomy and the complexiti...
Pieter Jan't Hoen, Karl Tuyls, Liviu Panait, Sean ...
We build on recent work on argumentation frameworks for generating desires and plans. We provide a rich instantiDung's abstract argumentation framework for (i) generating con...
Decentralized Markov decision processes are frequently used to model cooperative multi-agent systems. In this paper, we identify a subclass of general DEC-MDPs that features regul...