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References (59)
-
A. Tan, G. Carpenter, S. Grossberg (2007)
Intelligence Through Interaction: Towards a Unified Theory for Learning -
H. Nakashima, I. Noda (1998)
Dynamic subsumption architecture for programming intelligent agentsProceedings International Conference on Multi Agent Systems (Cat. No.98EX160)
-
M. Bratman, David Israel, M. Pollack (1988)
Plans and resource‐bounded practical reasoningComputational Intelligence, 4
-
M. Madden, T. Howley (2004)
Transfer of Experience Between Reinforcement Learning Environments with Progressive DifficultyArtificial Intelligence Review, 21
-
Budhitama Subagdja, L. Sonenberg (2005)
Learning Plans with Patterns of Actions in Bounded-Rational Agents -
R. Sun, Xi Zhang (2006)
Accounting for a variety of reasoning data within a cognitive architectureJournal of Experimental & Theoretical Artificial Intelligence, 18
-
A. Tan (2004)
FALCON: a fusion architecture for learning, cognition, and navigation2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541), 4
-
J. Laird, A. Newell, P. Rosenbloom (1987)
SOAR: An Architecture for General IntelligenceArtif. Intell., 33
-
W. Swartout, J. Gratch, R. Hill, E. Hovy, S. Marsella, J. Rickel, D. Traum (2006)
Toward Virtual HumansAI Mag., 27
-
J. Laird, P. Rosenbloom, A. Newell (1986)
Chunking in Soar: The Anatomy of a General Learning MechanismMachine Learning, 1
-
J. Laird, P. Rosenbloom, A. Newell (1986)
Universal Subgoaling and Chunking -
M. Dastani, Leendert Torre (2002)
An Extension of BDICTL with Functional Dependencies and Components -
D. Toal, C. Flanagan, Caimin Jones, B. Strunz (2000)
SUBSUMPTION ARCHITECTURE FOR THE CONTROL OF ROBOTS -
Andrew Nuxoll, J. Laird (2004)
A Cognitive Model of Episodic Memory Integrated with a General Cognitive Architecture -
Greg Butler, Andrea Gantchev, P. Grogono (2001)
Object‐oriented design of the subsumption architectureSoftware: Practice and Experience, 31
-
R. Sun, E. Merrill, T. Peterson (2001)
From implicit skills to explicit knowledge: a bottom-up model of skill learningCogn. Sci., 25
-
P. Stone (2010)
Reinforcement Learning -
J. Rickel, W. Johnson (2001)
Task-oriented collaboration with embodied agents in virtual worlds -
Eyal Amir, P. Maynard-Zhang (1999)
Logic-Based Subsumption ArchitectureArtif. Intell., 153
-
Emma Norling (2004)
Folk psychology for human modelling: extending the BDI paradigmProceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems, 2004. AAMAS 2004.
-
R. Hartley, F. Pipitone (1991)
Experiments with the subsumption architectureProceedings. 1991 IEEE International Conference on Robotics and Automation
-
J. Si, A. Barto, Warrren Powell, D. Wunsch (2006)
Handbook of Learning and Approximate Dynamic ProgrammingIEEE Transactions on Automatic Control, 51
-
M. Georgeff, F. Ingrand (1989)
Decision-Making in an Embedded Reasoning System -
J Laird, P Rosenbloom, A Newell (1986)
Universal subgoaling and chunking: the automatic generation and learning of goal hierarchies -
S. Kopp, Lars Alvincz, N. Krämer, I. Wachsmuth (2005)
A Conversational Agent as Museum Guide - Design and Evaluation of a Real-World Application -
C. Watkins, P. Dayan (1992)
Q-learningMachine Learning, 8
-
M. Dastani, J. Hulstijn, Leendert Torre (2001)
BDI and QDT: a comparison based on classical decision theory -
A gentle introduction to soar, an architcture for human cognition: 2006 update -
D. Vernon, G. Metta, G. Sandini (2007)
A Survey of Artificial Cognitive Systems: Implications for the Autonomous Development of Mental Capabilities in Computational AgentsIEEE Transactions on Evolutionary Computation, 11
-
P. Langley, S. Arai, D. Shapiro (2011)
Model-Based Learning with Hierarchical Relational Skills -
J. Bryson, A. Smaill, Geraint Wiggins (1992)
The reactive accompanist: applying subsumption architecture to software design -
R. Sun, T. Peterson (1998)
Hybrid learning incorporating neural and symbolic processes1998 IEEE International Conference on Fuzzy Systems Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36228), 1
-
John Anderson, Daniel Bothell, M. Byrne, Scott Douglass, C. Lebiere, Yulin Qin (2004)
An integrated theory of the mind.Psychological review, 111 4
-
(1996)
A logic for BDI planning agents -
Anand Rao, M. Georgeff (1997)
Modeling Rational Agents within a BDI-Architecture -
Justine Cassell (2000)
Embodied conversational agents -
Hatice Kose (2000)
TOWARDS A ROBUST COGNITIVE ARCHITECTURE FOR AUTONOMOUS MOBILE ROBOTS -
A. Guerra-Hernández, A. Seghrouchni, H. Soldano (2004)
Learning in BDI Multi-agent Systems -
L. Braubach, A. Pokahr, D. Moldt, W. Lamersdorf (2004)
Goal Representation for BDI Agent Systems -
P. Montague (2005)
Reinforcement Learning: An IntroductionIEEE Transactions on Neural Networks
-
A. Tan, Ning Lu, D. Xiao (2008)
Integrating Temporal Difference Methods and Self-Organizing Neural Networks for Reinforcement Learning With Delayed Evaluative FeedbackIEEE Transactions on Neural Networks, 19
-
P. Langley, Dongkyu Choi (2006)
A Unified Cognitive Architecture for Physical Agents -
J. Laird, Andrew Nuxoll (2004)
Comprehensive Working Memory Activation in Soar -
John Anderson, C. Schunn (2000)
Implications of the ACT-R Learning Theory: No Magic Bullets, 5
-
D. Hutton (2000)
Cambrian Intelligence: The Early History of the New AIKybernetes, 29
-
R. Sun, C. Sessions (1998)
Learning to plan probabilistically from neural networks1998 IEEE International Joint Conference on Neural Networks Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36227), 1
-
R. Sun, T. Peterson (1996)
Learning in reactive sequential decision tasks: the CLARION modelProceedings of International Conference on Neural Networks (ICNN'96), 2
-
A. Newell (1990)
Unified Theories of Cognition -
R. Sun, Paul Slusarz, Christeine Terry (2005)
The interaction of the explicit and the implicit in skill learning: a dual-process approach.Psychological review, 112 1
-
R. Brooks (1999)
Cambrian Intelligence: The Early History of the New AI -
D. Dennett (1987)
The Intentional Stance. -
D. Xiao, A. Tan (2007)
Self-Organizing Neural Architectures and Cooperative Learning in a Multiagent EnvironmentIEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 37
-
S. Chandrasekharan, C. Lebiere, T. Stewart, R. West (2005)
Stochastic Resonance in Human Cognition: ACT-R Versus Game Theory, Associative Neural Networks, Recursive Neural Networks, Q-Learning, and Humans, 27
-
A. Tan (2007)
Direct Code Access in Self-Organizing Neural Networks for Reinforcement Learning -
W Swartout, J Gratch, REH Hill, S Marsella, J Rickel, D Traum (2006)
Toward virtual humansArtif Intell Mag, 27
-
Michael Anderson (2003)
Embodied Cognition: A field guideArtif. Intell., 149
-
Sebastian Sardiña, Lavindra Silva, L. Padgham (2006)
Hierarchical planning in BDI agent programming languages: a formal approach -
M. Stollberg, Florian Rhomberg (2006)
Survey on Goal-driven Architectures -
Ronald Chong (2004)
Architectural Explorations for Modeling Procedural Skill Decay
- Publisher
- Springer Journals
- Copyright
- Copyright © 2009 by Springer Science+Business Media B.V.
- Subject
- Computer Science; Computer Science, general ; Artificial Intelligence (incl. Robotics)
- ISSN
- 0269-2821
- eISSN
- 1573-7462
- DOI
- 10.1007/s10462-009-9094-9
- Publisher site
- See Article on Publisher Site
Abstract
This article aims to present an account of the state of the art research in the field of integrated cognitive architectures by providing a review of six cognitive architectures, namely Soar, ACT-R, ICARUS, BDI, the subsumption architecture and CLARION. We conduct a detailed functional comparison by looking at a wide range of cognitive components, including perception, memory, goal representation, planning, problem solving, reasoning, learning, and relevance to neurobiology. In addition, we study the range of benchmarks and applications that these architectures have been applied to. Although no single cognitive architecture has provided a full solution with the level of human intelligence, important design principles have emerged, pointing to promising directions towards generic and scalable architectures with close analogy to human brains.
Journal
Artificial Intelligence Review – Springer Journals
Published: Feb 20, 2009