Artificial Intelligence

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Presentation Transcript

ARTIFICIAL INTELLIGENCE : 

ARTIFICIAL INTELLIGENCE

INTRODUCTION : 

INTRODUCTION Intelligence of machines Study and design of intelligent agents. Science and engineering of making intelligent machines

HISTORY : 

HISTORY History of artificial intelligence Time line of artificial intelligence AI used for logistics, data mining, medical diagnosis, etc.,

PROBLEMS : 

PROBLEMS Deduction ,reasoning and problem solving Knowledge representation Planning Natural language processing Social intelligence Creativity

GENERAL INTELLIGENCE : 

GENERAL INTELLIGENCE Strong AI AI- complete

APPROACHES : 

APPROACHES Cybernetics and brain simulation Symbolic Sub-symbolic statistical Integrating the approaches.

INTEGRATING APPROACHES : 

INTEGRATING APPROACHES Intelligent agent paradigm Agent architectures Cognitive architectures

TOOLS : 

TOOLS Search and optimization Logic Classifiers and statistical learning methods

EVALUATING PROGRESS : 

EVALUATING PROGRESS Progress in artificial intelligence Broad classes *optimal *strong super-human *super-human *sub-human

ETHICS OF AI : 

ETHICS OF AI Arises if researches were able to build machines with greater intellectual capabilities. Robots rights

APPLICATIONS OF AI : 

APPLICATIONS OF AI medical diagnosis Stock trading Robot control Law Video games and many more applications.

CONCLUSION : 

CONCLUSION Transcends the limits of progress and fundamentally transforms humanity Next stage in evolution

PRESENTED BY: A.M.NAVEENA SECTION :B ROLL NO. : 09 EC 36 BRANCH :B.E-ELECTRONICS & COMMUNICATION ENGG.