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This paper presents an architecture for a memory model that facilitates versatile reasoning mechanisms over the beliefs stored in an agent’s belief base. Based on an approach for belief aggregation, a model is introduced for controlling both the formation of abstract and complex beliefs and the retrieval of them based on their activation history. An(More)
This paper describes how cognitive modeling can be exploited in the design of software agents that support naval training sessions. The architecture, specifications, and embedding of the cognitive agent in a simulation environment are described. Subsequently, the agent's functioning was evaluated in complex, real life training situations for naval officers.
Virtual storytelling often uses a fixed, pre-scripted storyline, constraining the characters' autonomy and behaviour. An agent-based approach provides possibilities of a narrative emerging from interaction between a number of autonomous characters. In this paper such an approach is proposed, based on autonomous virtual agents that have mindreading(More)
This paper presents an architecture for a memory model that facilitates versatile reasoning mechanisms over the beliefs stored in an agent’s belief base. Based on an approach for belief aggregation, a model is introduced for controlling both the formation of abstract and complex beliefs and the retrieval of them based on their activation history. An(More)
Serious games offer an opportunity for players to learn communication skills by practicing conversations with non-playing characters (NPCs). To realize this potential, the player needs freedom of play to discover the relationships between its actions and their effects on the partner and the conversation. Scripting is currently the common approach to design(More)
Using staff personnel for playing roles in simulation-based training (e.g. team mates, adversaries) elevates costs, and imposes organizational constraints on delivery of training. One solution to this problem is to use intelligent software agents that play the required roles autonomously. BDI modeling is considered fruitful for developing such agents, but(More)
Streptococcus suis is a zoonotic swine pathogen and a major public health concern in Asia, where it emerged as an important cause of bacterial meningitis in adults. While associated with food-borne transmission in Asia, zoonotic S. suis infections are mainly occupational hazards elsewhere. To identify genomic differences that can explain zoonotic potential,(More)