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PIS-07 Information Regeneration.ppt

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PIS-07 Information Regeneration.ppt

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PIS-07 Information Regeneration.ppt

文档介绍

文档介绍:Principles of Information Science
Chapter 7
Information Regeneration
-- Decision Making Theory
List of Contents
1. From Knowledge to Strategy
2. Classical Model of Decision-Making
3. Information Theory of Decision-Making
4. Unified Theory
From Knowledge to Strategy
1.
Model of Information Regeneration
Information
Regeneration
Knowledge
about the
Problem and
Environment
Strategy Information
for solving problem
under the given
environment
Goal to be sought
Knowledge and Strategy
Knowledge: A set of descriptions about the states
and the varying laws of the states
of certain categories of objects.
Strategy: A sequence of anized action orders
for solving specific problems under certain
environment and certain goal.
Strategy can also be regarded as a special group of
information indicating the specific procedure of
problem solving.
Mechanism : from Knowledge to Strategy
P
Initial State
of Database
Operation
New
State
Goal
Match
G
Rule
Base
Knowledge
Base
Rule
Sequence
N
Y
Strategy
Distance
Indication
Control
E
Algorithm for Knowledge Activation
Given P(the Initial State of the Problem), E(the Knowledge
and the Rule Bases) and G(the Final State of the Problem)
2, Select the best Rule, from the Rule Base, so that whose left
side matches the Initial State while whose right side leads to
such a New State whose distance to the Goal is the minimum
compared with other selections by using the Knowledge
3, Check the New State thus obtained. If its distance to the
Goal is the smallest one but unequal to zero, do the same
thing from the New State as did in step 2
4, Otherwise, re-select a rule at step 2
5, Until the distance between the New State and the Goal
equal to zero, or sufficiently small, go loop from step 2 to 4.
The sequence of the rule applications is the strategy sought.
Classical Model of Decision-Making
2.
An Example: Umbrella Tricky
Benefits Table
Weather
Benefits
actions
Sunny
Raining
Carry
a(1)

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