Artificial Intelligence: A Modern Approach
Artificial Intelligence: A Modern Approach
ALMA: a layered model of affect
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Integrated Models of Cognitive Systems (Advances in Cognitive Models and Architectures)
Integrated Models of Cognitive Systems (Advances in Cognitive Models and Architectures)
Cognition and Multi-Agent Interaction: From Cognitive Modeling to Social Simulation
Cognition and Multi-Agent Interaction: From Cognitive Modeling to Social Simulation
The Cambridge Handbook of Computational Psychology
The Cambridge Handbook of Computational Psychology
The importance of cognitive architectures: an analysis based on CLARION
Journal of Experimental & Theoretical Artificial Intelligence
Software Engineering Foundations: A Software Science Perspective
Software Engineering Foundations: A Software Science Perspective
Software Engineering: A Practitioner's Approach
Software Engineering: A Practitioner's Approach
Affective computing with primary and secondary emotions in a virtual human
Autonomous Agents and Multi-Agent Systems
Prometheus: a methodology for developing intelligent agents
AOSE'02 Proceedings of the 3rd international conference on Agent-oriented software engineering III
Cognitive architectures and the challenge of cognitive social simulation
WImBI'06 Proceedings of the 1st WICI international conference on Web intelligence meets brain informatics
Koko: an architecture for affect-aware games
Autonomous Agents and Multi-Agent Systems
Cognitive architectures: Research issues and challenges
Cognitive Systems Research
A computational unification of cognitive behavior and emotion
Cognitive Systems Research
EMA: A process model of appraisal dynamics
Cognitive Systems Research
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Cognitive architectures are integrative frameworks that include a series of components that interoperate to generate a variety of behaviors in autonomous agents. Commonly, such components attempt to synthesize the operations and architecture of brain functions, such as perception and emotions. To carry out this, they embody computational models whose development is based on theories explaining cognitive and affective functions as well as on principles and standards established for the development of software systems. Unfortunately, such theories and software principles are not always available or entirely adequate. In this paper, we analyze and discuss fundamental issues associated to the development of these type of architectural components. We focus on the problems that arise throughout their development cycle and identify some improvements for the tools used in their construction.