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Knowledge-Based Neurocomputing
Knowledge-Based Neurocomputing
Neurocomputing methods are loosely based on a model of the brain as a network of simple interconnected processing elements corresponding to neurons. These methods derive their power from the collective processing of artificial neurons, the chief advantage being that such systems can learn and adapt to a changing environment. In knowledge-based...
Conceptual Spaces: The Geometry of Thought
Conceptual Spaces: The Geometry of Thought
"This is a fearless book that casts a wide net around key issues in cognitive science. It offers the kind of coherent, unified view that the field badly needs." - Steven Sloman, Associate Professor, Cognitive and Linguistic Sciences, Brown University"

Within cognitive science, two approaches currently dominate
...
Modeling and Reasoning with Bayesian Networks
Modeling and Reasoning with Bayesian Networks

Bayesian networks have received a lot of attention over the last few decades from both scientists and engineers, and across a number of fields, including artificial intelligence (AI), statistics, cognitive science, and philosophy.

Perhaps the largest impact that Bayesian networks have had is on the field of AI, where they were...

Permutation Group Algorithms (Cambridge Tracts in Mathematics)
Permutation Group Algorithms (Cambridge Tracts in Mathematics)

Permutation group algorithms are indispensable in the proofs of many deep results, including the construction and study of sporadic finite simple groups. This work describes the theory behind permutation group algorithms, up to the most recent developments based on the classification of finite simple groups. Rigorous complexity estimates,...

Hybrid Imaging and Visualization: Employing Machine Learning with Mathematica - Python
Hybrid Imaging and Visualization: Employing Machine Learning with Mathematica - Python
The book introduces the latest methods and algorithms developed in machine and deep learning (hybrid symbolic-numeric computations, robust statistical techniques for clustering and eliminating data as well as convolutional neural networks) dealing not only with images and the use of computers, but also their applications to visualization tasks...
Learning in Embedded Systems (Bradford Books)
Learning in Embedded Systems (Bradford Books)

Learning to perform complex action strategies is an important problem in the fields of artificial intelligence, robotics, and machine learning. Filled with interesting new experimental results, Learning in Embedded Systems explores algorithms that learn efficiently from trial-and error experience with an external world. It is the first...

Foundations of Neural Networks, Fuzzy Systems, and Knowledge Engineering
Foundations of Neural Networks, Fuzzy Systems, and Knowledge Engineering
Here we have a comprehensive, problem-oriented, engineering perspective on the uses of neural nets, fuzzy systems, and hybrids that emphasizes practical solutions to everyday artificial intelligence (AI) problems over abstract theoretical noodling. Intended for upper-division students and postgraduates who need a...
Holy War, Holy Peace: How Religion Can Bring Peace to the Middle East
Holy War, Holy Peace: How Religion Can Bring Peace to the Middle East
Part I: Analysis 1. The Interaction between Religion and Culture in Peace and Conflict 2. Family Myths and Cultural Conflict 3. Political and Mythic Interdependencies 4. Patterns of Abrahamic Incrimination 5. Conflict, Injury, and Transformation Part II: Practical Applications 6. Patterns of Abrahamic Reconciliation: Act, Ritual, and Symbol as...
Cognitive Penetrability and the Epistemic Role of Perception (Palgrave Innovations in Philosophy)
Cognitive Penetrability and the Epistemic Role of Perception (Palgrave Innovations in Philosophy)
This book is about the interweaving between cognitive penetrability and the epistemic role of the two stages of perception, namely early and late vision, in justifying perceptual beliefs. It examines the impact of the epistemic role of perception in defining cognitive penetrability and the relation between the epistemic role of...
Pro Java 7 NIO.2 (Professional Apress)
Pro Java 7 NIO.2 (Professional Apress)

The recommended entry point to start exploring the NIO.2 API, also known as “JSR 203: More New I/O

APIs for the Java Platform” (NIO.2), is the new abstract class java.nio.file.Path. This class is a milestone of NIO.2, and every application that involves I/O operations will exploit the powerful facilities of this
...
Principles of Model Checking
Principles of Model Checking
Our growing dependence on increasingly complex computer and software systems necessitates the development of formalisms, techniques, and tools for assessing functional properties of these systems. One such technique that has emerged in the last twenty years is model checking, which systematically (and automatically) checks whether a model of a...
An Introduction to Kolmogorov Complexity and Its Applications (Texts in Computer Science)
An Introduction to Kolmogorov Complexity and Its Applications (Texts in Computer Science)

“The book is outstanding and admirable in many respects. ... is necessary reading for all kinds of readers from undergraduate students to top authorities in the field.” Journal of Symbolic Logic

Written by two experts in the field, this is the only comprehensive and unified treatment of the central ideas and...

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