Summary
The Novamente AI Engine, a novel AI software system, is briefly reviewed. Novamente is an integrative artificial general intelligence design, which integrates aspects of many prior AI projects and paradigms, including symbolic, probabilistic, evolutionary programming and reinforcement learning approaches; but its overall architecture is unique, drawing on system-theoretic ideas regarding complex mental dynamics and associated emergent patterns. The chapter reviews both the conceptual models of mind and intelligence which inspired the system design, and the concrete architecture of Novamente as a software system.
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References
Rakesh Agrawal and Ramakrishnan Srikant. Fast algorithms for mining association rules. In Jorge B. Bocca, Matthias Jarke, and Carlo Zaniolo, editors, Proc. 20th Int. Conf. Very Large Data Bases, VLDB, pages 487–499. Morgan Kaufmann, 1994.
James Albus. Engineering of Mind: An Introduction to the Science of Intelligent Systems. John Wiley and Sons, 2001.
James Albus, N. DeClaris, A. Lacaze, and A. Meystel. Neutral Network Based Planner/Learner for Control Systems. In Proceedings of the 1997 International Conference on Intelligent Systems and Semiotics, pages 75–81, 1997.
Daniel Amit. Modeling Brain Function. Cambridge University Press, 1992.
Bernard Baars. A Cognitive Theory of Consciousness. Cambridge University Press, 1988.
A. D. Baddeley. Working Memory. Oxford University Press, 1998.
Pierre Baldi and G. Wesley Hatfield. DNA Microarrays and Gene Expression: From Experiments to Data Analysis and Modeling. Cambridge University Press, 2002.
A. Barron, J. Rissanen, and B. Yu. The Minimum Description Length Principle in Coding and Modeling. IEEE Transactions on Information Theory, 44 no. 6:2743–2760, 1998.
Gregory Bateson. Mind and Nature: A Necessary Unity. Hampton Books, 2002.
Amir Ben-Dor, Ron Shamir, and Zohar Yakini. Clustering Gene Expression Patterns. Journal of Computational Biology, 6:281–297, 1999.
The BlueGene/L Team. An Overview of the BlueGene/L Supercomputer. In Proceedings of the SC-2002 Conference, 2002.
A. Blum and J. Langford. Probabilistic Planning in the GraphPlan Framework. In Proceedings of ECP’99. Springer-Verlag, 1999.
Bila Bollobas. Combinatorics: Set Systems, Hypergraphs, Families of Vectors and Probabilistic Combinatorics. Cambridge University Press, 1986.
Chris Brand. The G-Factor: General Intelligence and its Implications. John Wiley and Sons, 1996.
William Calvin and David Bickerton. Lingua ex Machina: Reconciling Darwin and Chomsky with the Human Brain. MIT Press, 2000.
Gregory Chaitin. Algorithmic Information Theory. Addison-Wesley, 1988.
Haskell Curry and Robert Feys. Combinatory Logic. North-Holland, 1958.
Cycorp. The Syntax of CycL. Technical report, March 2002.
Thomas Dean, Leslie Pack Kaelbling, Jak Kirman, and Ann Nicholson. Planning Under Time Constraints in Stochastic Domains. Artificial Intelligence, 76, 1995.
Daniel Dennett. Brainchildren: Essays on Designing Minds. MIT Press, 1998.
Robert Devaney. An Introduction to Chaotic Dynamical Systems. Westview, 1989.
Julia V. Douthwaite. The Wild Girl, Natural Man, and the Monster: Dangerous Experiments in the Age of Enlightenment. University of Chicago Press, 1997.
Gerald Edelman. Neural Darwinism. Basic Books, 1987.
A. J. Field and P. G. Harrison. Functional Programming. Addison-Wesley, 1988.
Walter Freeman. Neurodynamics. Springer-Verlag, 2000.
Ben Goertzel. The Evolving Mind. Gordon and Breach, 1993.
Ben Goertzel. The Structure of Intelligence. Springer-Verlag, 1993.
Ben Goertzel. Chaotic Logic. Plenum Press, 1994.
Ben Goertzel. From Complexity to Creativity. Plenum Press, 1997.
Ben Goertzel. Creating Internet Intelligence. Plenum Press, 2001.
Ben Goertzel, Cassio Pennachin, and Lucio Coelho. A Systems-Biology Approach for Inferring Genetic Regulatory Networks. In preparation, 2006.
Ben Goertzel, Ken Silverman, Cate Hartley, Stephan Bugaj, and Mike Ross. The Baby Webmind Project. In Proceedings of AISB 00, 2000.
David Goldberg. Genetic Algorithms in Search, Optimization, and Machine Learning. Addison-Wesley, 1989.
Stephen Grossberg. Neural Networks and Natural Intelligence. MIT Press, 1992.
Henrik Grosskreutz. Belief Update in the pGolog Framework. In Proceedings of the International Joint Conference on Artificial Intelligence — IJCAI-01, 2001.
Stuart Hameroff. Ultimate Computing. North Holland, 1987.
Donald Hebb. The Organization of Behavior. John Wiley and Sons, 1948.
Daniel Hillis. The Connection Machine. MIT Press, 1989.
Douglas Hofstadter. Mathematical Themes: Questing for the Essence of Mind and Pattern. Basic Books, 1996.
John Holland. A Mathematical Framework for Studying Learning in Classifier Systems. Physica D, 2, n. 1–3, 1986.
John H. Holland. Adaptation in Natural and Artificial Systems. University of Michigan Press, 1975.
M. Hutter. Towards a universal theory of artificial intelligence based on algorithmic probability and sequential decisions. Proceedings of the 12th European Conference on Machine Learning (ECML-2001), pages 226–238, 2001.
Bipin Indurkhya. Metaphor and Cognition: An Interactionist Approach. Kluwer Academic, 1992.
I. T. Jolliffe. Principal Component Analysis. Springer-Verlag, 1986.
John Josephson and Susan Josephson. Abductive Inference: Computation, Philosophy, Technology. Cambridge University Press, 1994.
Gyorgy Kampis. Self-Modifying Systems in Biology and Cognitive Science. Plenum Press, 1993.
H. Kantz and V. Selman. Pushing the Envelope: Planning, Propositional Logic, and Stochastic Search. In Proceedings of the AAAI Conference 1996, 1996.
Teuvo Kohonen. Self-Organizing Maps. Springer-Verlag, 1997.
John Koza. Genetic Programming. MIT Press, 1992.
Ray Kurzweil. The Age of Spiritual Machines. Penguin Press, 2000.
D. B. Lenat. Cyc: A Large-Scale Investment in Knowledge Infrastructure. Communications of the ACM, 38, no. 11, November 1995.
Stanley Letovsky. Bioinformatics: Databases and Systems. Kluwer Academic, 1999.
Christophet Manning and Heinrich Schutze. Foundations of Statistical Natural Language Processing. MIT Press, 1999.
Jane Mercer. Labeling the Mentally Retarded. University of California Press, 1973.
Judea Pearl. Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference. Morgan-Kaufmann, 1988.
Martin Pelikan. Bayesian Optimization Algorithm: From Single Level to Hierarchy. PhD thesis, University of Illinois at Urbana-Champaign, October 2002.
Roger Penrose. Shadows of the Mind. Oxford University Press, 1997.
Juergen Schmidhuber. Bias-Optimal Incremental Problem Solving. In Advances in Neural Information Processing Systems-NIPS 15. MIT Press, 2002.
John R. Searle. Minds, Brains, and Programs. Behavioral and Brain Sciences, 3:417–457, 1980.
Stuart Shapiro. An Introduction to SNePS 3, pages 510–524. Springer-Verlag, 2000.
Stuart Shieber. Introduction to Unification-Based Approaches to Grammar. University of Chicago Press, 1986.
P. Simard, M. B. Ottaway, and D. H. Ballard. Analysis of Recurrent Backpropagation. In D. Touretzky, G. Hinton, and T. Sejnowsky, editors, Proceedings of the 1988 Connectionist Models Summer School, pages 103–112. Morgan Kaufmann, 1988.
M. Stickel, R. Waldinger, M. Lowry, T. Pressburger, and I. Underwood. Deductive Composition of Astronomical Software from Subroutine Libraries. In Proceedings of the Twelfth Internation Conference on Automated Deduction (CADE-12), pages 341–355, June 1994.
David Stork. Scientist on the Set: An Interview with Marvin Minsky, chapter 2. MIT Press, 2002.
V. Subrahmanian. Nonmonotonic Logic Programming. IEEE Transactions on Knowledge and Data Engineering, 11–1:143–152, 1999.
Richard Sutton and Andrew Barton. Reinforcement Learning. MIT Press, 1998.
Alan Turing. Computing Machinery and Intelligence. McGraw-Hill, 1950.
Francisco Varela. Principles of Biological Autonomy. North-Holland, 1978.
Pei Wang. On the Working Definition of Intelligence. Technical Report CRCC Technical Report 95, Center for Research in Concepts and Cognition, Indiana University at Bloomington, 1995.
Gerhard Weiss, editor. Multiagent Systems. MIT Press, 2000.
Ian Witten and Eibe Frank. Data Mining: Practical Machine Learning Tools and Techniques with Java Implementations. Morgan Kaufmann, 1999.
Huang Xuedong, Alex Acero, Hsiao-Wuen Hon, and Raj Reddy. Spoken Language Processing: A Guide to Theory, Algorithm and System Development. Prentice Hall, 2001.
A. Zadeh and Janusz Kacprzyk, editors. Fuzzy Logic for the Management of Uncertainty. John Wiley and Sons, 1992.
Mikhail Zak. From Instability to Intelligence: Complexity and Predictability in Nonlinear Dynamics. Springer-Verlag, 1997.
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Goertzel, B., Pennachin, C. (2007). The Novamente Artificial Intelligence Engine. In: Goertzel, B., Pennachin, C. (eds) Artificial General Intelligence. Cognitive Technologies. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-68677-4_3
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DOI: https://doi.org/10.1007/978-3-540-68677-4_3
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