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Artificial Intelligence

Artificial Intelligence (AI) is the area of computer science focusing on creating machines that can engage on behaviors that humans consider intelligent. The ability to create intelligent machines has intrigued humans since ancient times, and today with the advent of the computer and 50 years of research into AI programming techniques, the dream of smart machines is becoming a reality. Researchers are creating systems which can mimic human thought, understand speech, beat the best human chessplayer, and countless other feats never before possible. Find out how the military is applying AI logic to its hi-tech systems, and how in the near future Artificial Intelligence may impact our lives.

Artificial intelligence (AI) can be defined as intelligence exhibited by an artificial (non-natural, manufactured) entity. AI is studied in overlapping fields of computer science, psychology and engineering, dealing with intelligent behavior, learning and adaptation in machines, generally assumed to be computers.

 

Research in AI is concerned with producing machines to automate tasks requiring intelligent behavior. Examples include control, planning and scheduling, the ability to answer diagnostic and consumer questions, handwriting, speech, and facial recognition. As such, the study of AI has also become an engineering discipline, focused on providing solutions to real life problems, software applications, traditional strategy games like computer chess and other video games.

Advances in Applied Artificial Intelligence (Computational Intelligence and Its Applications)

Whether any one technology will prove to be the central one in creating artificial intelligence, or whether a combination of technologies will be necessary to create an artificial intelligence is still an open question, so many scientists are experimenting with mixtures of such techniques. In Advances in Applied Artificial Intelligence these questions are implicitly addressed by scientists tackling specific problems which require intelligence in both individual and combinations of specific artificial intelligence techniques.

 

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Artificial Intelligence and Expert Systems for Engineers—C.S. Krishnamoorthy

Artificial Intelligence and Expert Systems for Engineers details the AI-based methodologies known as: Knowledge-Based Expert Systems (KBES); Design Synthesis; Design Critiquing; and Case-Based Reasoning. KBES are the most popular M-based tools and have been successfully applied to planning, diagnosis, classification, monitoring, and design problems. Case studies axe provided with problems in engineering design for better understanding of the problem-solving models using the four methodologies in an integrated software environment.

Artificial Intelligence and Literary Creativity: Inside the Mind of Brutus, a Storytelling Machine

—David A. Ferrucci

The authors claim that their book "marks the marriage of logic and creativity", a claim that will raise the eyebrows of many a philosopher, literary critic, or novelist. But the intuitive dissonance that many in these professions may have regarding the reduction of the free-play of the imagination to the rigors and organization of logic should not dissuade others from believing that such a reduction is not only possible, but has actually been accomplished. Ironically, the authors early in the book assert that there are no examples of machine creativity in the world. Of course, this assertion depends on one's notion of what creativity is, and to what degree this creativity may have depended on the assistance of machines. Machines that create new mathematics, scientific theories, music, or novels do not yet exist, the authors claim, but they do take pains to express their optimism regarding future developments in "machine creativity".

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