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Books on the topic 'Adaptive intelligence model'

Author: Grafiati

Published: 4 June 2021

Last updated: 19 February 2022

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1

Angelov, Plamen P. Evolving Rule-Based Models: A Tool for Design of Flexible Adaptive Systems. Physica-Verlag HD, 2002.

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2

Adaptation in natural and artificial systems: An introductory analysis with applications to biology, control, and artificial intelligence. MIT Press, 1992.

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3

Adaptive bidding in single sided auctions under uncertainty: An agent-based approach in market engineering. Birkhauser Verlag AG, 2007.

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4

Japan) Workshop on the Future of VR and AR Interfaces (2001 Yokohama. The future of VR and AR interfaces: Multi modal, humanoid, adaptive, and intelligent : proceedings of the workshop at IEEE Virtual Reality 2001, Yokohama, Japan, March 14, 2001. GMD-Forschungszentrum Informationstechnik, 2001.

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5

Brabazon, Anthony. Natural Computing in Computational Finance. Springer-Verlag Berlin Heidelberg, 2010.

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6

IEEE Conference on Decision and Control (34th 1995 New Orleans, La.). Proceedings of the 34th IEEE Conference on Decision and Control: December 13-15, 1995, New Orleans Hilton Riverside, New Orleans, Louisiana, USA. Institute of Electrical and Electronics Engineers, 1995.

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7

Booker, Lashon. Perspectives on Adaptation in Natural and Artificial Systems (Proceedings Volume in the Santa Fe Institute Studies in the Sciences of Complexity.). Oxford Univ Pr (Sd), 2007.

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8

Lashon, Booker, ed. Perspectives on adaptation in natural and artificial systems. Oxford University Press, 2005.

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9

(Editor), Lashon Booker, Stephanie Forrest (Editor), Melanie Mitchell (Editor), and Rick Riolo (Editor), eds. Perspectives on Adaptation in Natural and Artificial Systems (Proceedings Volume in the Santa Fe Institute Studies in the Sciences of Complexity.). Oxford University Press, USA, 2005.

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10

Booker, Lashon, Stephanie Forrest, Melanie Mitchell, and Rick Riolo, eds. Perspectives on Adaptation in Natural and Artificial Systems. Oxford University Press, 2005. http://dx.doi.org/10.1093/oso/9780195162929.001.0001.

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This book is a collection of essays exploring adaptive systems from many perspectives, ranging from computational applications to models of adaptation in living and social systems. The essays on computation discuss history, theory, applications, and possible threats of adaptive and evolving computations systems. The modeling chapters cover topics such as evolution in microbial populations, the evolution of cooperation, and how ideas about evolution relate to economics. The title Perspectives on Adaptation in Natural and Artificial Systems honors John Holland, whose 1975 Book, Adaptation in Natural and Artificial Systems has become a classic text for many disciplines in which adaptation play a central role. The essays brought together here were originally written to honor John Holland, and span most of the different areas touched by his wide-ranging and influential research career. The authors include some of the most prominent scientists in the fields of artificial intelligence evolutionary computation, and complex adaptive systems. Taken together, these essays present a broad modern picture of current research on adaptation as it relates to computers, living systems, society, and their complex interactions.

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11

Grossberg, Stephen. Conscious Mind, Resonant Brain. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780190070557.001.0001.

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The book is the culmination of 50 years of intensive research by the author, who is broadly acknowledged to be the most important pioneer and current research leader who models how brains give rise to minds, notably how neural circuits in multiple brain regions interact together to generate psychological functions. The book provides a unified understanding of how, where, and why our brains can consciously see, hear, feel, and know about the world, and effectively plan and act within it. It hereby embodies a revolutionary Principia of Mind that clarifies how autonomous adaptive intelligence is achieved, thereby providing mechanistic explanations of multiple mental disorders, biological bases of morality, religion, and the human condition, as well as solutions to large-scale problems in machine learning, technology, and Artificial Intelligence. Because brains embody a universal developmental code, unifying insights also emerge about all living cellular tissues and about how mental laws reflect laws of the physical world.

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12

O'Neill, Michael, and Anthony Brabazon. Natural Computing in Computational Finance. Springer, 2010.

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13

O'Neill, Michael, Dietmar Maringer, and Anthony Brabazon. Natural Computing in Computational Finance: Volume 4. Springer, 2012.

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14

O'Neill, Michael, Dietmar Maringer, and Anthony Brabazon. Natural Computing in Computational Finance: Volume 4. Springer, 2016.

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15

O'Neill, Michael, Anthony Brabazon, and Dietmar G. Maringer. Natural Computing in Computational Finance: Volume 3. Springer, 2012.

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16

O'Neill, Michael, and Anthony Brabazon. Natural Computing in Computational Finance. Springer, 2009.

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17

IEEE Control Systems Society and Ch&&&&&. 1995 34th IEEE Conference on Decision and Control (Cdc) (Ieee Decision and Control Conference//Proceedings). Institute of Electrical & Electronics Enginee, 1995.

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