This report provides the detailed design of a set of Intelligent Agents aimed at enhancing a Virtual Community Environment to (1) help new members familiarize more rapidly with the virtual community context (people, spaces, knowledge assets, ongoing activities), (2) reduce search costs and increase value creation opportunities for each community members by supporting the efficient identification of relevant spaces, people, knowledge assets, interaction and collaboration opportunities, and (3) stimulate and support

Summary. After identifying the key challenges of knowledge management and proposing a vision that address them, this paper explores how cognitive agents can be used to design management systems that implement this vision and that in particular support the knowledge management processes in both their social, organizational and individual dimension.

The use of feelings and emotions as primary motivators and facilitators of several types of learning within the IDA architecture is described.

The work reported in this article presents a computational model of interpretation. The model proposes a cognitive architecture for intelligent agents to reason about competing analyses during interpretation and leverages the positive reinforcement principle. 1

This position paper speaks to the interrelationships between the three concepts of motivations, values, and emotion. Motivations prime actions, values serve to choose between motivations, emotions provide a common currency for values, and emotions implement motivations. While conceptually distinct, the three are so pragmatically intertwined as to differ primarily from our taking different points of view. To make these points more transparent, we briefly describe the three in the context a cognitive architecture, the LIDA model, for software agents and robots that models human cognition, including a developmental period. We also compare the LIDA model with other models of cognition, some involving learning and emotions. Finally, we conclude that artificial emotions will prove most valuable as implementers of motivations in situations requiring learning and development. 1.