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SOAR: An Architecture for General Intelligence
SOAR, an implemented proposal for a foundation for a system capable of general intelligent behavior, is presented and its organizational principles, the system as currently implemented, and demonstrations of its capabilities are described.
Chunking in Soar: The Anatomy of a General Learning Mechanism
The anatomy of chunking in Soar is examined and a new demonstration of its learning capabilities involving the acquisition and use of macro-operators is provided.
A Gentle Introduction to Soar, an Architecture for Human Cognition.
Abstract : Many intellectual disciplines contribute to the field of cognitive science: psychology, linguistics, anthropology, and artificial intelligence, to name just a few. Cognitive science itself…
The soar papers : research on integrated intelligence
The Soar Papers provide in one place the important ideas that have emerged from the Soar Project, an investigation into the architecture underlying intelligent behaviour with the goal of developing and applying a unified theory of natural and artificial intelligence.
A World-Championship-Level Othello Program
- P. Rosenbloom
- Computer Science, MathematicsArtif. Intell.
- 1 November 1982
The work described here includes a task analysis of Othello; the implementation of a program based on this analysis and state- of-the-art AI game-playing techniques; and an evaluation of the program's performance through games played against other programs and comparisons with expert human play.
A Standard Model of the Mind: Toward a Common Computational Framework across Artificial Intelligence, Cognitive Science, Neuroscience, and Robotics
A key foundational hypothesis in artificial intelligence is that minds are computational entities of a special sort — that is, cognitive systems — that can be implemented through a diversity of physical devices, whether natural brains, traditional generalpurpose computers, or other sufficiently functional forms of hardware or wetware.
A prototype infrastructure for distributed robot-agent-person teams
The goal is to create a proxy-based integration infrastructure where there is a beneficial symbiotic relationship between the proxies and the team members and to present two key new ideas to achieve this goal.
Improving Accuracy by Combining Rule-Based and Case-Based Reasoning
The architecture was applied to the task of name pronunciation, and was found to perform almost at the level of the best commercial systems, thus demonstrating the accuracy improvement afforded by combining rule-based and case-based reasoning.
Intelligent Agents for Interactive Simulation Environments
An overview of the TacAir-Soar project, aimed at developing humanlike, intelligent agents that can interact with each other, as well as with humans, in virtual environments, and the challenges that automated pilots face in battlefield simulations is analyzed.
Integrating, Execution, Planning, and Learning in Soar for External Environments
How the Soar architecture supports planning, execution, and learning in unpredictable and dynamic environments is described and capabilities are demonstrated on two robotic systems controlled by Soar.