Parsing the Turing Test

Parsing the Turing Test
Author: Robert Epstein
Publisher: Springer Science & Business Media
Total Pages: 520
Release: 2008-12-01
Genre: Computers
ISBN: 1402096240

An exhaustive work that represents a landmark exploration of both the philosophical and methodological issues surrounding the search for true artificial intelligence. Distinguished psychologists, computer scientists, philosophers, and programmers from around the world debate weighty issues such as whether a self-conscious computer would create an internet ‘world mind’. This hugely important volume explores nothing less than the future of the human race itself.

The Most Human Human

The Most Human Human
Author: Brian Christian
Publisher: Anchor
Total Pages: 322
Release: 2012-03-06
Genre: Psychology
ISBN: 0307476707

A playful, profound book that is not only a testament to one man's efforts to be deemed more human than a computer, but also a rollicking exploration of what it means to be human in the first place. “Terrific. ... Art and science meet an engaged mind and the friction produces real fire.” —The New Yorker Each year, the AI community convenes to administer the famous (and famously controversial) Turing test, pitting sophisticated software programs against humans to determine if a computer can “think.” The machine that most often fools the judges wins the Most Human Computer Award. But there is also a prize, strange and intriguing, for the “Most Human Human.” Brian Christian—a young poet with degrees in computer science and philosophy—was chosen to participate in a recent competition. This

Turing's Imitation Game

Turing's Imitation Game
Author: Kevin Warwick
Publisher: Cambridge University Press
Total Pages: 204
Release: 2016-09-22
Genre: Computers
ISBN: 1316982599

Can you tell the difference between talking to a human and talking to a machine? Or, is it possible to create a machine which is able to converse like a human? In fact, what is it that even makes us human? Turing's Imitation Game, commonly known as the Turing Test, is fundamental to the science of artificial intelligence. Involving an interrogator conversing with hidden identities, both human and machine, the test strikes at the heart of any questions about the capacity of machines to behave as humans. While this subject area has shifted dramatically in the last few years, this book offers an up-to-date assessment of Turing's Imitation Game, its history, context and implications, all illustrated with practical Turing tests. The contemporary relevance of this topic and the strong emphasis on example transcripts makes this book an ideal companion for undergraduate courses in artificial intelligence, engineering or computer science.

Doing Without Concepts

Doing Without Concepts
Author: Edouard Machery
Publisher: Oxford University Press
Total Pages: 296
Release: 2009-02-27
Genre: Language Arts & Disciplines
ISBN: 0195306880

In Doing without Concepts, Edouard Machery argues that the dominant psychological theories of concept fail to provide a coherent framework to organize our extensive empirical knowledge about concepts. Machery proposes that to develop such a framework, drastic conceptual changes are required.

Statistical Analysis of Gene Expression Microarray Data

Statistical Analysis of Gene Expression Microarray Data
Author: Terry Speed
Publisher: CRC Press
Total Pages: 237
Release: 2003-03-26
Genre: Mathematics
ISBN: 0203011236

Although less than a decade old, the field of microarray data analysis is now thriving and growing at a remarkable pace. Biologists, geneticists, and computer scientists as well as statisticians all need an accessible, systematic treatment of the techniques used for analyzing the vast amounts of data generated by large-scale gene expression studies

Bayesian Inference for Gene Expression and Proteomics

Bayesian Inference for Gene Expression and Proteomics
Author: Kim-Anh Do
Publisher: Cambridge University Press
Total Pages: 437
Release: 2006-07-24
Genre: Mathematics
ISBN: 052186092X

Expert overviews of Bayesian methodology, tools and software for multi-platform high-throughput experimentation.

Quantitative Methods and Applications in GIS

Quantitative Methods and Applications in GIS
Author: Fahui Wang
Publisher: CRC Press
Total Pages: 305
Release: 2006-04-03
Genre: Mathematics
ISBN: 142000428X

Quantitative Methods and Applications in GIS integrates GIS, spatial analysis, and quantitative methods to address various issues in socioeconomic studies and public policy. Methods range from basic regression analysis to advanced topics such as linear programming and system of equations. Applications vary from typical themes in urban and regional

Symbolic Logic

Symbolic Logic
Author: David W. Agler
Publisher: Rowman & Littlefield
Total Pages: 397
Release: 2013
Genre: Mathematics
ISBN: 1442217421

Brimming with visual examples of concepts, derivation rules, and proof strategies, this introductory text is ideal for students with no previous experience in logic. Symbolic Logic: Syntax, Semantics, and Proof introduces students to the fundamental concepts, techniques, and topics involved in deductive reasoning. Agler guides students through the basics of symbolic logic by explaining the essentials of two classical systems, propositional and predicate logic. Students will learn translation both from formal language into English and from English into formal language; how to use truth trees and truth tables to test propositions for logical properties; and how to construct and strategically use derivation rules in proofs. This text makes this often confounding topic much more accessible with step-by-step example proofs, chapter glossaries of key terms, hundreds of homework problems and solutions for practice, and suggested further readings.

The Practical Handbook of Genetic Algorithms

The Practical Handbook of Genetic Algorithms
Author: Lance D. Chambers
Publisher: CRC Press
Total Pages: 438
Release: 2019-09-17
Genre: Mathematics
ISBN: 1420050079

The mathematics employed by genetic algorithms (GAs)are among the most exciting discoveries of the last few decades. But what exactly is a genetic algorithm? A genetic algorithm is a problem-solving method that uses genetics as its model of problem solving. It applies the rules of reproduction, gene crossover, and mutation to pseudo-organism