Affective computing
Emotional Valence-Based Mechanisms and Agent Personality
SBIA '02 Proceedings of the 16th Brazilian Symposium on Artificial Intelligence: Advances in Artificial Intelligence
Exploration of Unknown Environments with Motivational Agents
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 1
Computer Apology: The Effect of the Apologetic Feedback on Users in Computerized Environment
ICALT '05 Proceedings of the Fifth IEEE International Conference on Advanced Learning Technologies
The use of emotions to create believable agents in a virtual environment
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Emotion based adaptive reasoning for resource bounded agents
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Emergent affective and personality model
Lecture Notes in Computer Science
Intelligent Behavior Generation of Benevolent Agents with a Stochastic Model of Emotion
Neural Information Processing
Formal Modelling of Emotions in BDI Agents
Computational Logic in Multi-Agent Systems
An event-response model inspired by emotional behaviors
BI'11 Proceedings of the 2011 international conference on Brain informatics
Feeling ambivalent: a model of mixed emotions for virtual agents
IVA'06 Proceedings of the 6th international conference on Intelligent Virtual Agents
Adaptation and decision-making driven by emotional memories
EPIA'05 Proceedings of the 12th Portuguese conference on Progress in Artificial Intelligence
PRIMA'06 Proceedings of the 9th Pacific Rim international conference on Agent Computing and Multi-Agent Systems
Creating adaptive affective autonomous NPCs
Autonomous Agents and Multi-Agent Systems
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During the last two decades, researchers have collected a decisive amount of experimental evidence about the fundamental role of Emotion on cognitive processing. Emotional phenomena have been correlated with effective decision-making processes, memory, learning and other high-level cognitive capabilities and skills (e.g. risk assessment). In this paper we will describe an ongoing work that aims to design new Agent Architectures influenced by what has been learned in psychology and neurosciences about Emotion-cognition interaction. We will present an Agent architecture that includes several emotional-like mechanisms, namely: emotional evaluation functions, Emotion-biased processing, emotional tagging and mood congruent memory. These mechanisms are intended to increase the performance and adaptability of Agents operating in real-time environments. We will also introduce Pyrosim, a MAS platform we have developed to serve as an appropriate test-bed for Emotional-based Architectures, which simulates a forest fire in a complex 3D environment.