A computational study on emotions and temperament in multi-agent systems

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2007

Autores

barteneva, d (Autor) Outra; lau, n (Autor) Outra; reis, lp (Autor) FEUP

Ata de Conferência Internacional

Título: AISB'07: Artificial and Ambient Intelligence

Páginas: 64-71

Indexação

ISI Web of Knowledge

Scopus - 4 Citações

Outras Informações

ID Authenticus: P-008-3QE

Abstract (EN): Recent advances in neurosciences and psychology have provided evidence that affective phenomena pervade intelligence at many levels, being inseparable from the cognition-action loop. Perception, attention, memory, learning, decisionmaking, adaptation, communication and social interaction are some of the aspects influenced by them. This work draws its inspirations from neurobiology, psychophysics and sociology to approach the problem of building autonomous robots capable of interacting with each other and building strategies based on temperamental decision mechanism. Modelling emotions is a relatively recent focus in artificial intelligence and cognitive modelling. Such models can ideally inform our understanding of human behavior. We may see the development of computational models of emotion as a core research focus that will facilitate advances in the large array of computational systems that model, interpret or influence human behavior. We propose a model based on a scalable, flexible and modular approach to emotion which allows runtime evaluation between emotional quality and performance. The results achieved showed that the strategies based on temperamental decision mechanism strongly influence the system performance and there are evident dependency between emotional state of the agents and their temperamental type, as well as the dependency between the team performance and the temperamental configuration of the team members, and this enable us to conclude that the modular approach to emotional programming based on temperamental theory is the good choice to develop computational mind models for emotional behavioral Multi-Agent systems.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 8