expert systems and ai

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    Intelligent behaviour

    Learn from experience.

    Apply knowledge acquiredfrom experience.

    Handle complexsituations.

    Solve problems whenimportant information ismissing.

    Determine what is

    important.

    React quickly andcorrectly to a new situation.

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    MAJOR BRANCHES OFAI

    y Perceptive system

    y A system that approximates the way a human sees,hears, and feels objects

    y Vision system

    y Capture, store, and manipulate visual images andpictures

    y Robotics

    y Mechanical and computer devices that performtedious tasks with high precision

    y

    Expert systemy Stores knowledge and makes inferences

    y Natural language processing

    y Computers understand and react to statements andcommands made in a natural language, such asEnglish.

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    Artificial

    Intelligence

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    OVERVIEWOFEXPERTSYSTEMS

    Expert Systems are computer programs that arederived from a branch of computer science researchcalledArtificial Intelligence (AI).

    Expert system is a software that uses a knowledgebase of human expertise for problem solving or

    clarifying uncertainties where one or more humanexperts would need to be consulted..

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    WHAT ANEXPERTSYSTEM CAN DO:

    Provide expertise that is expensive or rare

    Develop a solution faster than human experts

    can

    Provide expertise needed at a number of locationsat the same time

    Provide a high potential payoff..

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    PRACTICAL APPLICATION OF

    EXPERT SYSTEM

    DIAGONISIS AND TROUBLE SHOOTING

    PLANNING AND SCHEDULING

    FINANCIAL DECISION MAKING

    PROCESS MONITORING AND CONTROL

    DESIGN AND MANUFACTURING

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    LIMITATIONS OF EXPERT SYSTEMS

    Not widely used or tested

    Limited to relatively narrow problem

    Possibility of error

    Cannot refine own knowledge base

    Difficult to maintain

    May have high development costs

    Raise legal and ethical concerns

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    KNOWLEDGE BASE

    INFERENCE

    ENGINE

    RULE

    FUZZY LOGIC

    BACKWARD

    CHANING

    FORWARD

    ENGINE

    COMPONENTS OF ANEXPERT SYSTEM

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    COMPONENTS OF ANEXPERT SYSTEM

    Knowledge base:The knowledge base of expert systems contains both factual and

    heuristic knowledge. Factualknowledge is that knowledge of the task domain that is

    widely shared, typically found in textbooks or and commonly agreed upon by those

    knowledgeable in the particular field. Heuristic Knowledge refers to experience-based

    techniques for problem solving, learning, and discovery . Examples of this method

    include an educated guess, an intuitive judgment, or common sense.

    Inference Engine: The inference engine is the program that locates the appropriate

    knowledge in the knowledge base and provides answers, predictions, and

    suggestions in the way a human expert would .

    Rule : A conditional statement that links given conditions to actions or

    outcomes.

    Fuzzy Logic: Fuzzy logic, allow computers to determine the distinctions among data

    with shades of gray, similar to the process of human reasoning.

    Example: The fuzzy car, manuvers itself by following simple verbal instructions from

    its driver.

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    COMPONENTS OF ANEXPERT SYSTEM

    Forward chaining: In Forward chaining, the inference engine begins with the

    information entered by the user and searches the rule base to arrive at a

    conclusion.The strategy is to carry out the action of the rule when a condition is

    true.

    Backward Chaining: When the conclusion is known (for example, a goal to beachieved) but the path to that conclusion is not known, then reasoning

    backwards is called for, and the method is backward chaining.

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    PARTICIPANTS IN EXPERT SYSTEMS

    DEVELOPMENT AND USE

    Domain experty The individual or group whose expertise and

    knowledge is captured for use in an expert system

    K

    nowledge usery The individual or group who uses and benefits fromthe expert system

    Knowledge engineery Someone trained or experienced in the design,

    development, implementation, and maintenance of anexpert system

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    ADVANTAGES OF EXPERT SYSTEMS

    Easy to develop and modify

    Faster adaptation to changing condition

    More efficient and education

    Development by knowledge engineers and users

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    APPLICATIONS OF EXPERT SYSTEMS AND

    ARTIFICIAL INTELLIGENCE

    Credit granting

    Plant layout

    Hospitals and medical facilitiesHelp desks and assistance

    Employee performance evaluation

    Loan analysis

    Virus detectionRepair and maintenance

    Shipping

    Marketing

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    THANK YOU