Introduction to Computer Science

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Presentation transcript:

Introduction to Computer Science Artificial Intelligence Department of Industrial Engineering and Management Cheng Shiu University

The Third Wave Author: Alvin Toffler Publisher: Bantam (May 1, 1984)

The First Wave is the settled agricultural society which prevailed in much of the world after the Neolithic Revolution, which replaced hunter-gatherer cultures. The Second Wave is Industrial Age society. The Second Wave began in Western Europe with the Industrial Revolution, and subsequently spread across the world. Key aspects of Second Wave society are the nuclear family, a factory-type education system and the corporation. Toffler writes: "The Second Wave Society is industrial and based on mass production, mass distribution, mass consumption, mass education, mass media, mass recreation, mass entertainment, and weapons of mass destruction. You combine those things with standardization, centralization, concentration, and synchronization, and you wind up with a style of organization we call bureaucracy.“ The Third Wave is the post-industrial society. Toffler says that since the late 1950s most countries have been transitioning from a Second Wave society into a Third Wave society. He coined many words to describe it and mentions names invented by others, such as the Information Age.

What a Computer can do? Mathematic Calculation Control Memory Anything Else?

Components of Computer Four Components: Calculation Input Output Memory

Von Neumann architecture a design model for a stored-program digital computer that uses a processing unit and a single separate storage structure to hold both instructions and data.

Adv. Of Computer Two essential features of this machine: Powered and worked by electricity Storing data by magnetism Fast calculation capability Massive storage No-Need Rest Communication

Disadv. of Computer All details of calculation should be defined entirely. Necessity of total input for processes Terminator? Properly not!!

Decision making Structured Decision Semi-Structured Decision Fixed Input -> Solid Decision-making procedures -> Limited Output e.g., formal procedures, traditional algorithms Semi-Structured Decision Non-Structured Decision Probable Input -> Unknown Decision-making procedures -> Unlimited Output e.g., Investment in Stock Market

What a computer REALLY can do? See/Watch? Hear/Listen? Taste? Touch? Feel? Think? Collect Data? Make Decision?

Development of Computer Faster Calculation? Bigger Storage? OR Intelligent procedures for thinking and decision making? Up to YOU!!

Success to this course Presentation (30%) MidTerm Paper (40%) Session Examination (30%)

Contents of this course Expert Systems Fuzzy Theory Machine Learning Artificial Neural Networks Evolutionary Algorithms Heuristic Algorithms Artificial Life Knowledge Management and Data Mining

Enjoy it !!!!! Tzai-Der Wang Assistant Professor PhD of Computing and Information Systems, University of Paisley, Scotland Office: 10-0402 Phone Number: 3522 Email: dougwang@csu.edu.tw