Computer Programming Information

Among the first uses of the computer was the development of programs to model perception, reasoning, learning, and evolution. Further developments resulted in computers and programs that exhibit aspects of intelligent behavior. The field of artificial intelligence is based on the premise that thought processes can be computationally modeled. Computational molecular biology brought a similar approach to the study of living systems. In both cases, hypotheses concerning the structure, function, and evolution of cognitive systems (natural as well as synthetic) take the form of computer programs that store, organize, manipulate, and use information.Systems whose information processing structures are fully programmed are difficult to design for all but the simplest applications. Real-world environments call for systems that are able to modify their behavior by changing their information processing structures. Cognitive and information structures and processes, embodied in living systems, display many effective designs for biological intelligent agents. They are also a source of ideas for designing artificial intelligent agents. This book explores a central issue in artificial intelligence, cognitive science, and artificial life: how to design information structures and processes that create and adapt intelligent agents through evolution and learning.The book is organized around four topics: the power of evolution to determine effective solutions to complex tasks, mechanisms to make evolutionary design scalable, the use of evolutionary search in conjunction with local learning algorithms, and the extension of evolutionary search in novel directions.

Thomas Dean explores a wide range of fundamental topics in computer science, from digital logic and machine language to artificial intelligence and the World Wide Web, explaining how computers and computer programs work and how the various subfields of computer science are interconnected. Dean touches on a number of questions including: How can a computer learn to recognize junk email? What happens when you click on a link in a browser? How can you program a robot to do two things at once? Are there limits to what computers can do? Dean encourages readers to experiment with short programs and fragments of code written in several languages to strip away the mystery and reveal the underlying computational ideas. The accompanying website (www.cs.brown.edu/tld/talk) provides access to code fragments, tips on finding and installing software, links to online resources, and exercises. Throughout Talking With Computers, Dean conveys his fascination with computers and enthusiasm for working in a field that has changed almost every aspect of our daily lives. Thomas Dean is Professor in the Computer Science Department at Brown University, where he served as Acting Vice President for Computing and Information Services from 2001-2002. He is co-author of Planning and Control (Morgan-Kaufman, 1991) and Artificial Intelligence: Theory and Practice (Addison-Wesley, 1995).

Intentional Programming - In computer programming, intentional programming is a collection of concepts which enable software source code to reflect the precise information, called intention, which programmers had in mind when conceiving their work. By closely matching the level of abstraction at which the programmer was thinking, browsing and maintaining computer programs becomes easier.

Whitespace (computer science) - For information on the programming language, see Whitespace programming language. For white space in graphic design, see white space (graphic design).

Object (computer science) - In strictly mathematical branches of computer science the term object is used in a purely mathematical sense to refer to any "thing". While this interpretation is useful in the discussion of abstract theory, it is not concrete enough to serve as a primitive datatype in the discussion of more concrete branches (such as programming) that are closer to actual computation and information processing.

Closure (computer science) - In programming languages, a closure is an abstraction that combines a function and a special lexical environment bound to that function (scope). The variables in the lexical environment are designed to retain state information between function calls.

computerprogramminginformation

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