Computer Brain Power

Post on 23-Jun-2015

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How a computer can get human intelligence and can simulate human behavior

Transcript of Computer Brain Power

• Collect Information

• Screen Information

• Store Them

• Analyze Data

• Retrieve relevant Information

• And Finally Takes Decision

• Structured decision – processing information in a specified way

• Unstructured decision – one for which there may be several “right” answers

• Recurring decision – happens repeatedly• Nonrecurring (ad hoc) decision – one you make

infrequently

• Geographic information system (GIS)– DSS designed specifically to analyze spatial

information– Spatial information is any information in map

form– Businesses use GIS software to

• analyze information• generate business intelligence• make decisions

• Expert (knowledge-based) system – Artificial intelligence (AI) system – Applies reasoning capabilities to reach a conclusion

• Used for

• An expert system can– Reduce errors– Improve customer service– Reduce cost

• An expert system can’t– Use common sense– Automate all processes

• Neural network (artificial neural network or ANN) – an artificial intelligence system that is capable of finding and differentiating patterns

• ANN can Learn and adjust to new circumstances Function without complete information Cope with huge volumes of information

• Fuzzy logic – Mathematical method of handling

imprecise or subjective information

• Used to make ambiguous information such as “short” usable in computer systems

• Applications– Google’s search engine– Washing machines

• An AI system that deals survival-of-the

• fittest process to generate increasingly better solutions to a problem

• Principles of Genetic Algorithms

1. Selection - or survival of the fittest

2.Crossover – combining portions of good outcomes

3.Mutation – randomly trying combinations

• Intelligent agent – Software that assists you, or acts on your

behalf, in performing repetitive computer-related tasks

• Types– Information agents– Monitoring-and-surveillance or predictive

agents– Data-mining agents – -personal agents

• Southwest Airlines – cargo routing

• P&G – supply network optimization

• Ford – balance production costs & consumer demands

• Edison Chouest – deploy service and supply vessels

Computers are the center of attraction from the origin, the AI has made Computers more lively. So in future machines may replace Humans if they will have emotional aspect.