In this paper the authors present the development of a scene-based episodic memory module for the cognitive architecture controlling an autonomous virtual creature, in a simulated 3D environment. The scene-based episodic memory has the role of improving the creature鈥檚 navigation system, by evoking the objects to be considered in planning, according to episodic remembrance of earlier scenes testified by the creature where these objects were present in the past. They introduce the main background on human memory systems and episodic memory study, and provide the main ideas behind the experiment.
Abstract. This work deals with the research on intelligent virtual creatures and cognitive architectures to control them. Particularly, we are interested in studying how the use of episodic memory could be useful to improve a cognitive architecture in such a task. Episodic memory is a neurocognitive mechanism for accessing past experiences that naturally makes part of human process of decision making, which usually enhances the chances of a successful behavior. Even though there are already some initiatives in such a path, we are still very far from this being a well known technology to be widely embedded in our intelligent agents. In this work we report on our ongoing efforts to bring up such technology by building up a cognitive architecture where episodic memory is a central capability.
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