2017 - Fellow of the American Association for the Advancement of Science (AAAS)
1994 - Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) For contributions to unified theories of cognition, and to integrated architectures for intelligence; and for service to the AI community.
His main research concerns Soar, Artificial intelligence, Chunking, Cognitive science and Human–computer interaction. His research in Soar intersects with topics in Cognitive architecture and Distributed computing. His study explores the link between Cognitive architecture and topics such as Elementary cognitive task that cross with problems in Range and Unified Theories of Cognition.
His research integrates issues of Task, Set, Function, Machine learning and Systems architecture in his study of Artificial intelligence. His Chunking research incorporates themes from Dreyfus model of skill acquisition, Teaching method, Learning curve and Explanation-based learning. Paul S. Rosenbloom has included themes like Excursion, Stimulus–response compatibility and Choice reaction time in his Human–computer interaction study.
Paul S. Rosenbloom mostly deals with Artificial intelligence, Soar, Cognitive architecture, Cognitive science and Machine learning. When carried out as part of a general Artificial intelligence research project, his work on Chunking and Chunking is frequently linked to work in Structure, therefore connecting diverse disciplines of study. The various areas that he examines in his Soar study include Distributed computing, Task and Agent architecture.
His study in Cognitive architecture is interdisciplinary in nature, drawing from both Graphical model, Theoretical computer science, Human–computer interaction and Reinforcement learning. In his research, Domain is intimately related to Intelligent agent, which falls under the overarching field of Human–computer interaction. His Cognitive science research is multidisciplinary, incorporating perspectives in Field, Unified Theories of Cognition and Connectionism.
Paul S. Rosenbloom mainly investigates Cognitive architecture, Artificial intelligence, Sigma, Cognitive science and Graphical model. The concepts of his Cognitive architecture study are interwoven with issues in Cognitive psychology, Human intelligence, Human–computer interaction and Reinforcement learning. His Artificial intelligence research integrates issues from Machine learning and Cognitive model.
His studies in Cognitive science integrate themes in fields like Field, Metacognition, Consciousness and Generality. His Graphical model research is multidisciplinary, relying on both Probabilistic logic and Cognitive systems. Soar connects with themes related to Chunking in his study.
Paul S. Rosenbloom focuses on Cognitive architecture, Sigma, Artificial intelligence, Graphical model and Leverage. His biological study spans a wide range of topics, including Concept learning, Consciousness, Metacognition and Competitive learning. His work on Robotics is typically connected to International research as part of general Artificial intelligence study, connecting several disciplines of science.
His work deals with themes such as Cognitive psychology and Cognitive systems, which intersect with Graphical model. His studies deal with areas such as Word, Chunking and Cognitive model as well as Machine learning. His Human intelligence research incorporates elements of Human–computer interaction and Subgame perfect equilibrium, Nash equilibrium.
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Soar: an architecture for general intelligence
J. E. Laird;A. Newell;P. S. Rosenbloom.
The Soar papers (vol. 1) (1993)
Mechanisms of skill acquisition and the law of practice
A. Newell;P. S. Rosenbloom.
The Soar papers (vol. 1) (1993)
Chunking in Soar: the anatomy of a general learning mechanism
John E. Laird;Paul S. Rosenbloom;Allen Newell.
Machine Learning (1993)
Intelligent Agents for Interactive Simulation Environments
Milind Tambe;W. Lewis Johnson;Randolph M. Jones;Frank V. Koss.
Symbolic architectures for cognition
Allen Newell;Paul S. Rosenbloom;John E. Laird.
Foundations of cognitive neuroscience (1993)
The soar papers : research on integrated intelligence
Paul S. Rosenbloom;John Laird;Allen Newell.
Universal Subgoaling and Chunking: The Automatic Generation and Learning of Goal Hierarchies
John Laird;Paul Rosenbloom;Allen Newell.
A preliminary analysis of the Soar architecture as a basis for general intelligence
Paul S. Rosenbloom;John E. Laird;Allen Newell;Robert McCarl.
Artificial Intelligence (1991)
A Standard Model of the Mind: Toward a Common Computational Framework across Artificial Intelligence, Cognitive Science, Neuroscience, and Robotics
John E. Laird;Christian Lebiere;Paul S. Rosenbloom.
Ai Magazine (2017)
A Gentle Introduction to Soar, an Architecture for Human Cognition.
Jill F. Lehman;John Laird;Paul Rosenbloom.
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