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Modelling and Reasoning with Vague Concepts
Modelling and Reasoning with Vague Concepts
Vagueness is central to the flexibility and robustness of natural language descriptions. Vague concepts are robust to the imprecision of our perceptions, while still allowing us to convey useful, and sometimes vital, information. The study of vagueness in Artificial Intelligence (AI) is therefore motivated by the desire to incorporate this...
A Computational Model of Natural Language Communication: Interpretation, Inference, and Production in Database Semantics
A Computational Model of Natural Language Communication: Interpretation, Inference, and Production in Database Semantics
Everyday life would be easier if we could simply talk with machines instead of having to program them. Before such talking robots can be built, however, there must be a theory of how communicating with natural language works. This requires not only a grammatical analysis of the language signs, but also a model of the cognitive agent, with...
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...
Natural Computing: 4th International Workshop on Natural Computing
Natural Computing: 4th International Workshop on Natural Computing

The complex behavior of systems in nature is rooted in intricate mechanisms of interaction that often supersede human-made systems in terms of reliability, power efficiency, and computational capacity. Researchers have begun to realize that natural systems are a great source of inspiration for novel algorithms in computation and communication...

Security 2020: Reduce Security Risks This Decade
Security 2020: Reduce Security Risks This Decade

Identify real security risks and skip the hype

After years of focusing on IT security, we find that hackers are as active and effective as ever. This book gives application developers, networking and security professionals, those that create standards, and CIOs a straightforward look at the reality of today’s IT...

Data-Driven Modeling: Using MATLAB® in Water Resources and Environmental Engineering (Water Science and Technology Library)
Data-Driven Modeling: Using MATLAB® in Water Resources and Environmental Engineering (Water Science and Technology Library)

“Data-Driven Modeling: Using MATLAB® in Water Resources and Environmental Engineering” provides a systematic account of major concepts and methodologies for data-driven models and presents a unified framework that makes the subject more accessible to and applicable for researchers and practitioners. It integrates important...

Python: Beginner's Guide to Artificial Intelligence: Build applications to intelligently interact with the world around you using Python
Python: Beginner's Guide to Artificial Intelligence: Build applications to intelligently interact with the world around you using Python

Develop real-world applications powered by the latest advances in intelligent systems

Key Features

  • Gain real-world contextualization using deep learning problems concerning research and application
  • Get to know the best practices to improve and optimize your machine...
Visual Studio Code Distilled: Evolved Code Editing for Windows, macOS, and Linux
Visual Studio Code Distilled: Evolved Code Editing for Windows, macOS, and Linux

Use Visual Studio Code to write and debug code quickly and efficiently on any platform, for any device, using any programming language, and on the operating system of your choice.

Visual Studio Code is an open source and cross-platform development tool that focuses on code editing across a variety of development...

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...

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