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The Neural Simulation Language: A System for Brain Modeling
The Neural Simulation Language: A System for Brain Modeling
The Neural Simulation Language (NSL), developed by Alfredo Weitzenfeld, Michael Arbib, and Amanda Alexander, provides a simulation environment for modular brain modeling. NSL is an object-oriented language offering object-oriented protocols applicable to all levels of neural simulation. One of NSL's main strengths is that it allows for realistic...
Automated Planning: Theory & Practice (The Morgan Kaufmann Series in Artificial Intelligence)
Automated Planning: Theory & Practice (The Morgan Kaufmann Series in Artificial Intelligence)
"In recent years, comprehensive texts have been written for several of the other major areas of Artificial Intelligence, including machine learning, natural-language processing, and constraint-satisfaction processing, but until now, the field of planning has been devoid of such a resource, despite the considerable number of advances in and the...
Encyclopedia of Database Systems
Encyclopedia of Database Systems

The multi-volume Encyclopedia of Database Systems provides easy access to relevant information on all aspects of very large databases, data management, and database systems. Over 1,400 illustrated essays and definitional entries, organized alphabetically, present basic terminology, concepts, methods and data processing...

Wavelet Theory and Its Application to Pattern Recognition (Series in Machine Perception and Artificial Intelligence)
Wavelet Theory and Its Application to Pattern Recognition (Series in Machine Perception and Artificial Intelligence)

This 2nd edition is an update of the book "Wavelet Theory and Its Application to Pattern Recognition" published in 2000. Three new chapters, which are research results conducted during 2001-2008, will be added. The book consists of two parts - the first contains the basic theory of wavelet analysis and the second includes...

Word Sense Disambiguation: Algorithms and Applications (Text, Speech and Language Technology)
Word Sense Disambiguation: Algorithms and Applications (Text, Speech and Language Technology)

Word sense disambiguation is a core research problem in computational linguistics, which was recognized at the beginning of the scientific interest in machine translation and artificial intelligence. And yet no book has been fully devoted to review the wide variety of approaches to solving the problem. The time is right for such a...

Java, Java, Java, Object-Oriented Problem Solving (3rd Edition)
Java, Java, Java, Object-Oriented Problem Solving (3rd Edition)

This second edition of Java, Java, Java offers a robust, accessible, and flexible problem-solving perspective. The use of Unified Modeling Language (UML) diagrams throughout the text, strongly emphasizes object-oriented design. This book assists students and professionals with their most challenging problem as beginning programmers:...

Computational Approaches to Biochemical Reactivity (Understanding Chemical Reactivity)
Computational Approaches to Biochemical Reactivity (Understanding Chemical Reactivity)
This book summarises recent results in the rapidly developing discipline of the computational aspects of biochemical reactivity. It presents a comprehensive and critical treatise on the subject, with numerous references covering practically all relevant and recent work. The chapters, written by eminent experts in the field, deal with quantum...
An Inductive Logic Programming Approach to Statistical Relational Learning
An Inductive Logic Programming Approach to Statistical Relational Learning
In this publication, the author Kristian Kersting has made an assault on one of the hardest integration problems at the heart of Artificial Intelligence research. This involves taking three disparate major areas of research and attempting a fusion among them. The three areas are: Logic Programming, Uncertainty Reasoning and Machine Learning. Every...
Transactions on Edutainment I (Lecture Notes in Computer Science / Transactions on Edutainment) (No. 1)
Transactions on Edutainment I (Lecture Notes in Computer Science / Transactions on Edutainment) (No. 1)

This journal subline serves as a forum for stimulating and disseminating innovative research ideas, theories, emerging technologies, empirical investigations, state-of-the-art methods, and tools in all different genres of Edutainment, such as Game-based Learning and Serious Games, Interactive Storytelling, Virtual Learning Environments, VR-based...

Diagrammatic Reasoning in AI
Diagrammatic Reasoning in AI

This book is really the end product of over a decade of work, on and off, on diagrammatic reasoning in artificial intelligence (AI). In developing this book, I drew inspiration from a variety of sources: two experimental studies, the development of two prototype systems, an extensive literature review and analysis in AI,...

Mastering TensorFlow 1.x: Advanced machine learning and deep learning concepts using TensorFlow 1.x and Keras
Mastering TensorFlow 1.x: Advanced machine learning and deep learning concepts using TensorFlow 1.x and Keras

Build, scale, and deploy deep neural network models using the star libraries in Python

Key Features

  • Delve into advanced machine learning and deep learning use cases using Tensorflow and Keras
  • Build, deploy, and scale end-to-end deep neural network models in a production...
C# Game Programming Cookbook for Unity 3D
C# Game Programming Cookbook for Unity 3D

This second edition of C# Game Programming Cookbook for Unity 3D expounds upon the first with more details and techniques. With a fresh array of chapters, updated C# code and examples, Jeff W. Murray’s book will help the reader understand structured game development in Unity unlike ever before.

New to this...

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