Situated Multi Agent System models are characterized by the representation and exploitation of spatial information related to agents, the environment they inhabit and their positi...
Virtual agents designed to establish relationships with more than one user must be able to identify and distinguish among those users with high reliability. We descr...
Daniel Schulman, Mayur Sharma, Timothy W. Bickmore
This work describes a multi-agent architecture and strategy for trade in simultaneous and related auctions. The proposed SIMPLE Agency combines an integer programming model, machi...
In this paper, we propose a model named Logical Markov Decision Processes with Negation for Relational Reinforcement Learning for applying Reinforcement Learning algorithms on the ...
This paper introduces a novel study on the sense of valency as a vital process for achieving adaptation in agents through evolution and developmental learning. Unlike previous stud...