Human behavior recognition is one of the most important and challenging objectives performed by intelligent vision systems. Several issues must be faced in this domain ranging fro...
Within many domains, among which biological and cognitive areas, multiple interacting processes occur among agents with dynamics that are hard to handle. Current approaches to ana...
Tibor Bosse, Catholijn M. Jonker, Lourens van der ...
We present a connectionist architecture that can learn a model of the relations between perceptions and actions and use this model for behavior planning. State representations are...
Ateamis a uniqueexampleof collection of agentsheld in dynamicandfunctional relationships overbrief periods of time by mutualbelief and joint commitment.Thecentral hypothesis in th...
We present a novel approach for the automatic generation of model-to-model transformations given a description of the operational semantics of the source language by means of graph...