Algorithms for scaling in a general episodic memory
Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems - Volume 3
Perception processing for general intelligence: bridging the symbolic/subsymbolic gap
AGI'12 Proceedings of the 5th international conference on Artificial General Intelligence
CHREST models of implicit learning and board game interpretation
AGI'12 Proceedings of the 5th international conference on Artificial General Intelligence
Pursuing artificial general intelligence by leveraging the knowledge capabilities of ACT-R
AGI'12 Proceedings of the 5th international conference on Artificial General Intelligence
Modeling two-player games in the sigma graphical cognitive architecture
AGI'13 Proceedings of the 6th international conference on Artificial General Intelligence
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In development for thirty years, Soar is a general cognitive architecture that integrates knowledge-intensive reasoning, reactive execution, hierarchical reasoning, planning, and learning from experience, with the goal of creating a general computational system that has the same cognitive abilities as humans. In contrast, most AI systems are designed to solve only one type of problem, such as playing chess, searching the Internet, or scheduling aircraft departures. Soar is both a software system for agent development and a theory of what computational structures are necessary to support human-level agents. Over the years, both software system and theory have evolved. This book offers the definitive presentation of Soar from theoretical and practical perspectives, providing comprehensive descriptions of fundamental aspects and new components. The current version of Soar features major extensions, adding reinforcement learning, semantic memory, episodic memory, mental imagery, and an appraisal-based model of emotion. This book describes details of Soar's component memories and processes and offers demonstrations of individual components, components working in combination, and real-world applications. Beyond these functional considerations, the book also proposes requirements for general cognitive architectures and explicitly evaluates how well Soar meets those requirements.