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Introduction Of AI (Reasoning (Deterministic, Dynamic, Inductive,…
Introduction Of AI
Reasoning
Deterministic
Dynamic
Inductive
Adductive
Analogical
Model based
Non-Deterministic
Search and match
Deductive
Case base
Act Human
Static Knowledge
Procedural Knowledge
Meta Knowledge
Dynamic Knowledge
Declarative Knowledge
Heuristic Knowledge
Explicit Knowledge
Ta tic Knowledge
Four school of thoughts
Acting humanly
Thinking humanly
Thinking rationally
Acting rationally
Chinese room argument
Turning test
The machine identify the symbol without knowing the real meaning
Experiment of John Searle
Testing machine ability
Machine that behave like humans
Machine that can think like human
Stands for thinking logically
Machines that do the right thing
Making a decision by using existing knowledge
True or false argument
Many premises arguments
Forming decisions by checking some other situations
Build up the judgement with different argument
Actual answers with true values
Collecting more data to get the decision
A=B , B=C , A=C
Form a argument with calculation or facts in the case
Checking based on the rule
Check some incidents
Collecting information and keep for future support
Completed awareness
Levels of programming language
Moving into different thing
Gathering knowledge from internet
