Agents that reduce work and information overload
Communications of the ACM
The role of emotion in believable agents
Communications of the ACM
Collaborative interface agents
AAAI '94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 1)
Multi-level direction of autonomous creatures for real-time virtual environments
SIGGRAPH '95 Proceedings of the 22nd annual conference on Computer graphics and interactive techniques
The media equation: how people treat computers, television, and new media like real people and places
Affective computing
Integrating reactive and scripted behaviors in a life-like presentation agent
AGENTS '98 Proceedings of the second international conference on Autonomous agents
ECMAST '97 Proceedings of the Second European Conference on Multimedia Applications, Services and Techniques
Wiki-News Interface Agent Based on AIS Methods
KES-AMSTA '07 Proceedings of the 1st KES International Symposium on Agent and Multi-Agent Systems: Technologies and Applications
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Over the last years there has been a growing consensus that new generation interfaces turn their focus on the human element by enriching an Affective dimension. Affective generation of autonomous agent behaviour aspires to give computer interfaces emotional states that relate and take into account user as well as system environment considerations. Internally, through computational models of artificial hearts (emotion and personality), and externally through believable multi-modal expression augmented with quasi-human characteristics. Computational models of affect are addressing problems of how agents arrive at a given affective state. Much of this work is targeting the entertainment environment and generally does not address the requirements of multi-agent systems, where behaviour is dynamically changing based on agent goals as well as the shared data and knowledge. This paper discusses one of the requirements for real-time realisation of Personal Service Assistant interface characters.We describe an approach to enabling the computational perception required for the automated generation of affective behaviour in multi-agent real-time environments. This uses a current agent communication language so as they not only convey the semantic content of knowledge exchange but also they can communicate affective attitudes about the shared knowledge.