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Communication Research: Issues and Methods (McGraw-Hill Series in Mass Communication)

Health, Fitness & Dieting

Anderson, James A.

Psychology & Counseling

Mcgraw-Hill College

For one-/two- semester, freshman courses in Discrete Mathematics. This carefully organized, very readable text covers every essential topic in discrete mathematics in a logical fashion. Placing each topic in context, it covers concepts associated with discrete mathematical systems that have applications in computer science, engineering, and mathematics. The author introduces more basic concepts at the freshman level than are found in other texts, in a simple, accessible form. Introductory material is balanced with extensive coverage of graphs, trees, recursion, algebra, theory of computing, and combinatorics. Extensive examples throughout the text reinforce concepts.

Discrete Mathematics With Combinatorics

Computers & Technology

Lewis, Jerome

Computer Science

PRENTICE/HALL

This carefully organized, very readable book covers every essential topic in discrete mathematics in a logical fashion. Placing each topic in context, it covers concepts associated with discrete mathematical systems that have applications in computer science, engineering, and mathematics. The author introduces more basic concepts at the freshman level than are found in other books, in a simple, accessible form. Introductory material is balanced with extensive coverage of graphs, trees, recursion, algebra, theory of computing, and combinatorics. Extensive examples throughout the text reinforce concepts. More combinatorics/algebraic structures than in most books. Detailed discussion of and strong emphasis on proofs. Extensive, in-depth presentation of topics. Large selection of applied and computational problems, ranging from the elementary to the more advanced. More topics in probability and more statistical interpretations than other texts. Comprehensive discussion of topics such as finite state machines, automata, and languages. Earlier introduction of matrices and relations, Boolean algebras and circuits than most texts. Includes algorithms for many constructive tasks that occur in discrete systems.

Discrete Mathematics with Combinatorics

Anderson, James

Bell, James

This book presents a self-contained logical development of basic number theory, supplemented with numerous applications and advanced topics. Focuses on the axiomatic development of number theory—showing how to prove theorems and understand the nature of number theory. Drawing applications from many areas—e.g., physics, statistics, computer science, mathematics, astronomy, cryptography, and mechanics, this book features extensive, detailed worked examples that illustrate many number theoretic patterns. Treats applications in depth with substantive discussion of the context of each application.

Number Theory With Applications

Science & Math

Bell, James M.

Mathematics

Pearson College Div

Current computer technology doubles in in power roughly every two years, an increase called "Moore's Law." This constant increase is predicted to come to an end soon. Digital technology will change. Although digital computers dominate today's world, there are alternative ways to "compute" which might be better and more efficient than digital computation. After Digital looks at where the field of computation began and where it might be headed, and offers predictions about a collaborative future relationship between human cognition and mechanical computation. James A. Anderson, a pioneer of biologically inspired neural nets, presents two different kinds of computation-digital and analog--and gives examples of their history, function, and limitations. A third, the brain, falls somewhere in between these two forms, and is suggested as a computer architecture that is more capable of performing some specific important cognitive tasks-perception, reasoning, and intuition, for example- than a digital computer, even though the digital computer is constructed from far faster and more reliable basic elements. Anderson discusses the essentials of brain hardware, in particular, the cerebral cortex, and how cortical structure can influence the form taken by the computational operations underlying cognition. Topics include association, understanding complex systems through analogy, formation of abstractions, the biology of number and its use in arithmetic and mathematics, and computing across scales of organization. These applications, of great human interest, also form the goals of genuine artificial intelligence. After Digital will appeal to a broad cognitive science community, including computer scientists, philosophers, psychologists, and neuroscientists, as well as the curious science layreader, and will help to understand and shape future developments in computation.

After Digital: Computation as Done by Brains and Machines

Oxford University Press

Neurocomputing: Foundations of Research

Researchers will find Neurocomputing an essential guide to the concepts employed in this field that have been taken from disciplines as varied as neuroscience, psychology, cognitive science, engineering, and physics.

Bradford Books

An Introduction to Neural Networks

An Introduction to Neural Networks falls into a new ecological niche for texts. Based on notes that have been class-tested for more than a decade, it is aimed at cognitive science and neuroscience students who need to understand brain function in terms of computational modeling, and at engineers who want to go beyond formal algorithms to applications and computing strategies. It is the only current text to approach networks from a broad neuroscience and cognitive science perspective, with an emphasis on the biology and psychology behind the assumptions of the models, as well as on what the models might be used for. It describes the mathematical and computational tools needed and provides an account of the author's own ideas.
Students learn how to teach arithmetic to a neural network and get a short course on linear associative memory and adaptive maps. They are introduced to the author's brain-state-in-a-box (BSB) model and are provided with some of the neurobiological background necessary for a firm grasp of the general subject.
The field now known as neural networks has split in recent years into two major groups, mirrored in the texts that are currently available: the engineers who are primarily interested in practical applications of the new adaptive, parallel computing technology, and the cognitive scientists and neuroscientists who are interested in scientific applications. As the gap between these two groups widens, Anderson notes that the academics have tended to drift off into irrelevant, often excessively abstract research while the engineers have lost contact with the source of ideas in the field. Neuroscience, he points out, provides a rich and valuable source of ideas about data representation and setting up the data representation is the major part of neural network programming. Both cognitive science and neuroscience give insights into how this can be done effectively: cognitive science suggests what to compute and neuroscience suggests how to compute it.

Certification

Neurocomputing 2: Directions for Research

In bringing together seminal articles on the foundations of research, the first volume of Neurocomputing has become an established guide to the background of concepts employed in this burgeoning field. Neurocomputing 2 collects forty-one articles covering network architecture, neurobiological computation, statistics and pattern classification, and problems and applications that suggest important directions for the evolution of neurocomputing.

Pellionisz, Andras

An Introduction to Neural Networks falls into a new ecological niche for texts. Based on notes that have been class-tested for more than a decade, it is aimed at cognitive science and neuroscience students who need to understand brain function in terms of computational modeling, and at engineers who want to go beyond formal algorithms to applications and computing strategies. It is the only current text to approach networks from a broad neuroscience and cognitive science perspective, with an emphasis on the biology and psychology behind the assumptions of the models, as well as on what the models might be used for. It describes the mathematical and computational tools needed and provides an account of the author's own ideas.
Students learn how to teach arithmetic to a neural network and get a short course on linear associative memory and adaptive maps. They are introduced to the author's brain-state-in-a-box (BSB) model and are provided with some of the neurobiological background necessary for a firm grasp of the general subject.
The field now known as neural networks has split in recent years into two major groups, mirrored in the texts that are currently available: the engineers who are primarily interested in practical applications of the new adaptive, parallel computing technology, and the cognitive scientists and neuroscientists who are interested in scientific applications. As the gap between these two groups widens, Anderson notes that the academics have tended to drift off into irrelevant, often excessively abstract research while the engineers have lost contact with the source of ideas in the field. Neuroscience, he points out, provides a rich and valuable source of ideas about data representation and setting up the data representation is the major part of neural network programming. Both cognitive science and neuroscience give insights into how this can be done effectively: cognitive science suggests what to compute and neuroscience suggests how to compute it.

The Dong World and Imperial China’s Southwest Silk Road: Trade, Security, and State Formation

Brings a borderlands perspective to the history of China From the eighth to thirteenth centuries along China's rugged southern periphery, trade in tribute articles and an interregional horse market thrived. These ties dramatically affected imperial China's relations with the emerging kingdoms in its borderlands. Local chiefs before the tenth century had considered the control of such contacts an important aspect of their political authority. Rulers and high officials at the Chinese court valued commerce in the region, where rare commodities could be obtained and vassal kingdoms showed less belligerence than did northern ones. Trade routes along this Southwest Silk Road traverse the homelands of numerous non-Han peoples. This book investigates the principalities, chiefdoms, and market nodes that emerged and flourished in the network of routes that passed through what James A. Anderson calls the "Dong world," a collection of Tai-speaking polities in upland valleys. The process of state formation that arose through trade coincided with the differentiation of peoples who were later labeled as distinct ethnicities. Exploration of this formative period at the nexus of the Chinese empire, the Dali kingdom, and the Vietnamese kingdom reveals a nuanced picture of the Chinese province of Yunnan and its southern neighbors preceding Mongol efforts to impose a new administrative order in the region. These communities shared a regional identity and a lively history of interaction well before northern occupiers classified its inhabitants as "national minorities" of China.

The Dong World and Imperial China's Southwest Silk Road: Trade, Security, and State Formation

History

Asia

University of Washington Press

See the best price to sell, buy, or rent books by Anderson, James A.. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Books by Anderson, James A.

See the best price to sell, buy, or rent books by Anderson, James A.. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Communication Research: Issues and Methods (McGraw-Hill Series in Mass Communication)

Discrete Mathematics With Combinatorics

Discrete Mathematics with Combinatorics

Number Theory With Applications

After Digital: Computation as Done by Brains and Machines

Neurocomputing: Foundations of Research

An Introduction to Neural Networks

Neurocomputing 2: Directions for Research

An Introduction to Neural Networks

The Dong World and Imperial China's Southwest Silk Road: Trade, Security, and State Formation