Andrew Nuxoll

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Episodic memory provides a mechanism for accessing past experiences and has been relatively ignored in computational models of cognition. In this paper, we present a framework for describing the functional stages for computational models of episodic memory: encoding, storage, retrieval and use of the retrieved memories. We present two implementations of a(More)
For a human, episodic memory is a memory of past experiences that one gains over a lifetime. While episodic memory appears critical to human function, researchers have done little to explore the potential benefits for an artificially intelligent agent. In this research, we have added a task-independent, episodic memory to a cognitive architecture. To frame(More)
Memory activation has been modeled in symbolic architectures in the past, but usually at the level of individual chunks or productions in long term memory. Recent research (Chong 2003) has demonstrated activation at the level of individual elements of working memory. In this paper, we present a comprehensive implementation of working memory activation in(More)
Offensive urban combat is one of the most difficult tasks soldiers are called upon to perform (USMC 1998). Urban combat is characterized by building-to-building and room-to-room fighting, and even a vastly outnumbered defensive force can inflict significant casualties on attacking forces. Effective, frequent training is an essential element in reducing(More)
82 AI MAGAZINE ■ This article describes requirements for synthetic adversaries for urban combat training and a prototype application, MOUTBots. MOUTBots use a commercial computer game to define, implement, and test basic behavior representation requirements and the Soar architecture as the engine for knowledge representation and execution. The article(More)
Episodic memory is essential for human cognition and has also proven necessary for some intelligent agents. The size of an episodic store grows over time unless some forgetting mechanism is in place to keep it in check. In this research, we investigate the effect that different forgetting mechanisms have on the episodic memory performance. We compare three(More)
Evidence indicates that episodic memory plays an important role in general cognition. A modest body of research exists for creating artificial episodic memory systems. To date, research has focused on exploring their benefits. As a result, existing episodic memory systems rely on a small, relevant memory cue for effective memory retrieval. We present(More)
Episodic memory provides many important capabilities to a cognitive architecture. One of the challenges of creating a general episodic memory system is to be effective when given no information about the agent’s task. In this paper, we present an effective algorithm for detecting the relevance of the features of episodic memories while only being told when(More)