Andrew Coward's Home

References

A number of publications are available for download as PDF files. These documents are late drafts of the documents, for final versions please refer to the published source.

Books

Coward, L. A. (2005). A System Architecture Approach to the Brain: from Neurons to Consciousness, New York: Nova.
                                  in
paperback

Coward, L. A. (1990). Pattern Thinking, New York: Praeger.


Book Chapters

Coward, L. A. (2011). Modelling Memory and Learning Consistently from Psychology to Physiology. In V. Cutsuridi, H. Amir, J. Taylor (eds.), Perception-Action Cycle: Models, Architectures, and Hardware, pp 52 – 123. Springer Series in Cognitive and Neural Systems. pdf

Coward, L. A. and Salingaros, N. A. (2005). The Information Architecture of Cities. In N. A. Salingaros (ed). Principles of Urban Structure. Amsterdam, Holland: Techne Press.

Coward, L. A. and Sun, R. (2002). Explaining Consciousness on Multiple Levels. in Serge P. Shohov (Ed.), Advances in Psychology 14, 51 - 86.

Coward, L.A. (1999). A physiologically based theory of consciousness, in Jordan, S. (ed.), Modeling Consciousness Across the Disciplines, pp 113-178, Maryland: UPA. pdf

Coward, L.A. (1999). The Recommendation Functional Architecture as the Basis for a Physiological Understanding of Cognition, in Riegler, A. and Peschl, M. (eds.) Understanding Representation in the Cognitive Sciences, 91 - 105, Plenum Press. pdf

 

Journal Papers

Coward, L. A. (2010). The Hippocampal System as the Cortical Resource Manager: a model connecting psychology, anatomy and physiology. Advances in Experimental Medicine and Biology 657, 315 - 364. pdf

Coward, L. A. and Gedeon, T. O. (2009). Implications of Resource Limitations for a Conscious Machine. Neurocomputing 72, 767 - 788. pdf

Coward, L. A. and Sun, R. (2007). Hierarchical Approaches to Understanding Consciousness. Neural Networks 20(9), 947 - 954. pdf

Sun, R., Coward, L. A. and Zenzen, M. J. (2005). On Levels of Cognitive Modeling. Philosophical Psychology 18(5), 613 - 637. pdf

Coward, L.A. and Sun, R. (2004). Some Criteria for an Effective Scientific Theory of Consciousness and Examples of Preliminary Attempts at Such a Theory. Consciousness and Cognition 13(2), 268 - 301. pdf

Coward, L. A. and Salingaros, N. A. (2004). An Information Architecture Approach to Understanding Cities. Journal of Information Science  30(2), 107 - 118. pdf

Coward, L. A. (2003). General Constraints on the Architectures of Functionally Complex Learning Systems: Implications for Understanding Human Memory. In B. Kokinov and W. Hirst, (Eds.). Constructive Memory, NBU Series in Cognitive Science. pdf

Coward, L.A., Gedeon, T. and Kenworthy, W. (2001). Application of the Recommendation Architecture to Telecommunications Network Management, International Journal of Neural Systems 11(4), 323-327. pdf

Coward, L.A. (2001). The Recommendation Architecture: lessons from the design of large scale electronic systems for cognitive science. Journal of Cognitive Systems Research 2(2), 111-156. pdf

Coward, L.A. (2000). A Functional Architecture Approach to Neural Systems.  International Journal of Systems Research and Information Systems, 9, 69 - 120. pdf

Coward, L.A. and Gedeon, T. (2000). Optimization of Architectural Parameters in a Simulated Recommendation Architecture, Journal of Advanced Computational Intelligence. pdf

Coward, L.A. (1999). A physiologically based approach to consciousness, New Ideas in Psychology, 17 (3), 271-290. pdf


Conference Papers

Coward, L. A. (2009). The Hippocampal System as the Manager of Neocortical Declarative Memory Resources. Proceedings of NCPW11. pdf

Coward, L. A. (2008). Management of Neocortex Resources as the Primary Role of the Hippocampal System. Proceedings of the Brain Inspired Cognitive Systems Conference 2008. pdf

Coward, L. A. (2006). Constructing a Physiologically Realistic Machine Model of Consciousness. Brain Inspired Cognitive Systems 2006. pdf

Coward, L. A. (2006). Constraints on the Design Process for Systems with Human Level Intelligence. IJCNN Vancouver. pdf

Coward, L. A. (2005). Accounting for episodic, semantic and procedural memory in the recommendation architecture cognitive model. Proceedings of the Ninth Neural Computation and Psychology Workshop: Modelling Language, Cognition, and Action. pdf

Coward, L. A., and Gedeon, T. G. (2005). A model for representation of concepts in the brain. Proceedings of  the International and Interdisciplinary Conference on  Adaptive Knowledge Representation and Reasoning. Espoo, Finland pdf

Coward, L. A. (2004). The Recommendation Architecture Model for Human Cognition. Proceedings of the Conference on Brain Inspired Cognitive Systems, University of Stirling, Scotland. pdf

Coward, L. A., Gedeon, T. D. and Ratanayake, U. (2004). Learning Complex Combinations of Operations. Proceedings of the IEEE International Conference on Fuzzy Systems. pdf

Coward, L. A., Gedeon, T. D. and Ratanayake, U. (2004). Managing Interference between Prior and Later learning. Proceedings of International Conference On Neural Information Processing, Calcutta. pdf

Coward, L. A. (2004). Simulation of a Proposed Binding Model. Proceedings of Workshop on Information Coding in Early Sensory Stages, BICS 2004, University of Stirling, Scotland. pdf

Coward, L. A. (2003). General Constraints on the Architectures of Functionally Complex Learning Systems: Implications for Understanding Human Memory. In B. Kokinov and W. Hirst, (Eds.).  Constructive Memory, NBU Series in Cognitive Science. pdf

Coward, L.A. (2000). Modeling Cognitive Processes with the Recommendation Architecture.  Proceedings of the 18th Twente Workshop on Language Theory, pages 47-67. University of Twente: Enschede. pdf

Gedeon, T., Coward, L. A., and Bailing, Z. (1999). Results of Simulations of a System with the Recommendation Architecture, Proceedings of the 6th International Conference on Neural Information Processing, Volume I, pp 78-84. pdf

Coward, L.A. (1997). Unguided Categorization, Direct and Symbolic Representation, and Evolution of Cognition in a Modified Connectionist Theory, in Riegler, A. and Peschl, M. (eds.), Proceedings of the International Conference New Trends in Cognitive Science, 139-146, Vienna: Austrian Society of Cognitive Science. pdf

Coward, L. A. (1997). The Pattern Extraction Hierarchy Architecture: a Connectionist Alternative to the von Neumann Architecture, in Mira., J., Morenzo-Diaz, R., and Cabestanz, J. (eds.) Biological and Artificial Computation: from Neuroscience to Technology, 634-43, Berlin: Springer. pdf