Computational Framework for Knowledge: Integrated Behavior of Machines

"Intriguing . . . [filled with] new ideas about overarching intellectual themes that govern our technologies and our society."
—Nikil Jayant, Eminent Scholar, Georgia Research Alliance

"Dr. Ahamed is correct in observing that 'silicon and glass have altered the rhythm of mind' and that computers need to be more 'human.'"
—Bishnu S. Atal, Member, National Academy of Engineering

This book combines philosophical, societal, and artificial intelligence concepts with those of computer science and information technology to demonstrate novel ways in which computers can simplify data mining on the Internet. It describes numerous innovative methods that go well beyond information retrieval to allow computers to accomplish such tasks as processing, classifying, prioritizing, and reconstituting knowledge.

The book is divided into five parts:

• New knowledge sensing and filtering environments
• Concept building and wisdom machines
• General structure and theory of knowledge
• Verb functions and noun objects
• Humanistic and semi-human systems

This book offers new mathematical methodologies and concrete HW/SW/FW configurations for the IT specialist to help their corporations explore, exploit, compete, and win global market share.

"Intriguing . . . [filled with] new ideas about overarching intellectual themes that govern our technologies and our society."

—Nikil Jayant, Eminent Scholar, Georgia Research Alliance

"Dr. Ahamed is correct in observing that 'silicon and glass have altered the rhythm of mind' and that computers need to be more 'human.'"

—Bishnu S. Atal, Member, National Academy of Engineering

This book combines philosophical, societal, and artificial intelligence concepts with those of computer science and information technology to demonstrate novel ways in which computers can simplify data mining on the Internet. It describes numerous innovative methods that go well beyond information retrieval to allow computers to accomplish such tasks as processing, classifying, prioritizing, and reconstituting knowledge.

The book is divided into five parts:

• New knowledge sensing and filtering environments

• Concept building and wisdom machines

• General structure and theory of knowledge

• Verb functions and noun objects

• Humanistic and semi-human systems

This book offers new mathematical methodologies and concrete HW/SW/FW configurations for the IT specialist to help their corporations explore, exploit, compete, and win global market share.

Syed V. Ahamed, PhD, DSc, MBA, is Professor Emeritus of Computer Science at CUNY, College of Staten Island, and a Professor of Medical Informatics at the University of Medicine and Dentistry of New Jersey. He has been affiliated with Bell Laboratories, Lucent Technologies, and Bell Labs Innovations for the last forty years. Dr. Ahamed's research includes knowledge machines, IT, MIS, knowledge processing units, and intelligent, medical, and educational networks. He is the author or coauthor of six other books and holds more than twenty U.S. and European patents.