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1 Fundamentals of Control Theory N. Wiener: Control theory in engineering, whether it is Concerned with Man, animal or machine, can only be regarded as a part of the theory of information [(G) Controller
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1.1 System Fundamentals Definitions System: Definitions System- integrity of elements that form a certain structure internally and perform certain functions externally. L von Bertalanffy: System --set of interrelated elements
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List of contents From Knowledge to Strategy 2. Classical Model of Decision-Making 3. Information Theory of Decision-Making 4. Unified Theory
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1. Model of Communication System Noise Source Sink T Channel T: Transformation Source, sink, and channel are given beforehand Transformation to match the source with the channel
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1. Information Processing Definition of Information processing All operations exerted to the information itself for its better utilization Information processing is necessary because most of the information in its original form may not be good for use. Thus information processing is the basis of later operations Two categories of information processing: 1)Shallow Level of Information Processing 2)Deeper level of Information Processing
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1 Introduction Background for New methodology Modern natural science methodology is mainly based on matter and energy Even though matter and energy are still necessitate factors in information system, yet the characteristic feature of information systems, particularly the complex ones, is neither matter nor energy but information Without information, the complex information systems, like brain and intelligent life. cannot be understood
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3-1 Measures of Random Syntactic Information Shannon Theory of Information Key point: 1. Information is something that can be used to remove uncertainty. 2. The amount of information can then be measured by the amount of uncertainty it removed. 3. In the cases of communications, only waveform is concerned while meaning and value are ignored. 4. Uncertainty and thus information are statistic in nature and statistical mathematics is enough
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Problems to be concerned with 1. How should we define the concept of Information 2. What are the typical features of Information compared with matter and energy 3. What are the relationship and difference between Shannon Information and comprehensive Information 4. How to reasonably classify Information 5. How to properly represent Information
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1.1 Information science Definition of information Science Information Science is a trans-disciplinary science with information as its object in study; the laws in information process as its content information methodology as its approach; and the strengthening human information functions particularly the intellectual ability, as its goal
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