It is demonstrated that a componential code emerges when a self-organising neural network is exposed to continuous speech. The code’s components correspond to substructures that occur relatively independently of one another: words and phones. A capability for generalisation and discrimination develops without having been optimised explicitly. The componential structure is revealed by optimising...

In this report, we propose a model and an associated agent platform to deal with multi-agent system heterogeneity by introducing a way to structure groups of agents and take advantage of simultaneous contexts and models. This approach uses the concepts of multiple groups and roles to introduce structure within di erent multi-agent systems. The platform based on this model is made of minimal age...

The common conceptual understanding of emotion is that they are multi-componential, including subjective feelings, appraisals, psychophysiological activation, action tendencies, and motor expressions. Emotion perception, however, has traditionally been studied in terms of emotion labels, such as "happy", which do not clearly indicate whether one, some, or all emotion components are perceived. W...

This paper reviews Bruce and Young's (1986) influential model of face processing, as well as its more recent implementation in the form of an interactive activation network. The multi-componential structure of the model is explained. How this structure can account for empirical effects such as repetition priming, semantic priming or face naming difficulties is briefly discussed. It is then show...

In this paper, we present MadKit (multi-agent development kit), a generic multi-agent platform. This toolkit is based on a organizational model. It uses concepts of groups and roles for agents to manage different agent models and multi-agent systems at the same time, while keeping a global structure. We discuss the architecture of MadKit, based on a minimalist agent kernel decoupled from specif...