J. Laird

Publications267
h-index49
Citations13,303
Highly Influential Citations661
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SOAR: An Architecture for General Intelligence
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The Soar Cognitive Architecture
  • J. Laird
  • Computer Science, Psychology
  • 13 April 2012
TLDR
This book offers the definitive presentation of Soar from theoretical and practical perspectives, providing comprehensive descriptions of fundamental aspects and new components, and proposes requirements for general cognitive architectures and explicitly evaluates how well Soar meets those requirements.
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Extending the Soar Cognitive Architecture
TLDR
This paper presents the cognitive architecture approach to general intelligence and the traditional, symbolic Soar architecture, followed by major additions to Soar: non-symbolic representations, new learning mechanisms, and long-term memories.
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Cognitive architectures: Research issues and challenges
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Automated Intelligent Pilots for Combat Flight Simulation
TLDR
The TacAir-Soar system is an intelligent, rule-based system that generates believable "human-like" behavior for military simulations that is capable of executing most of the airborne missions that the United States military flies in fixed-wing aircraft.
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Chunking in Soar: The Anatomy of a General Learning Mechanism
TLDR
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.
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Human-Level AI's Killer Application: Interactive Computer Games
TLDR
It is suggested that interactive computer games provide a rich environment for incremental research on human-level AI and the research issues and AI techniques that are relevant to each of these roles.
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It knows what you're going to do: adding anticipation to a Quakebot
  • J. Laird
  • Computer Science
    AGENTS '01
  • 28 May 2001
TLDR
An AI bot for the game Quake II that tries to incorporate some of the missing capabilities of human players, developed in the Soar architecture and uses dynamical hierarchical task decomposition to organize it knowledge and actions.
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A Standard Model of the Mind: Toward a Common Computational Framework across Artificial Intelligence, Cognitive Science, Neuroscience, and Robotics
TLDR
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.
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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…
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