Specialized Business Information Systems Chapter 11 MSIS 110: Introduction to Computers; Instructor: S. Mathiyalakan 1 Principles and Learning Objectives • Artificial intelligence systems form a broad and diverse set of systems that can replicate human decision making for certain types of well-defined problems. – Define the term artificial intelligence and state the objective of developing artificial intelligence systems. – List the characteristics of intelligent behavior and compare the performance of natural and artificial intelligence systems for each of these characteristics. – Identify the major components of the artificial intelligence field and provide one example of each type of system. MSIS 110: Introduction to Computers; Instructor: S. Mathiyalakan 2 Principles and Learning Objectives • Expert systems can enable a novice to perform at the level of an expert but must be developed and maintained very carefully. – List the characteristics and basic components of expert systems. – Identify at least three factors to consider in evaluating the development of an expert system. – Outline and briefly explain the steps for developing an expert system. – Identify the benefits associated with the use of expert systems. MSIS 110: Introduction to Computers; Instructor: S. Mathiyalakan 3 Principles and Learning Objectives • Virtual reality systems have the potential to reshape the interface between people and information technology by offering new ways to communicate information creatively. – Define the term virtual reality and provide three examples of virtual reality applications. • Special-purpose systems can help organizations and individuals achieve their goals. – Discuss examples of special-purpose systems for organizational and individual use. MSIS 110: Introduction to Computers; Instructor: S. Mathiyalakan 4 An Overview of Artificial Intelligence MSIS 110: Introduction to Computers; Instructor: S. Mathiyalakan 5 The Nature of Intelligence • Learn from experience & apply the knowledge • Handle complex situations • Solve problems when important information is missing • Determine what is important MSIS 110: Introduction to Computers; Instructor: S. Mathiyalakan 6 The Nature of Intelligence • • • • • React quickly & correctly to new situations Understand visual images Process & manipulate symbols Be creative & imaginative Use heuristics MSIS 110: Introduction to Computers; Instructor: S. Mathiyalakan 7 The Difference Between Natural and Artificial Intelligence MSIS 110: Introduction to Computers; Instructor: S. Mathiyalakan 8 The Major Branches of Artificial Intelligence MSIS 110: Introduction to Computers; Instructor: S. Mathiyalakan 9 An Overview of Expert Systems MSIS 110: Introduction to Computers; Instructor: S. Mathiyalakan 10 Characteristics of an Expert System • • • • • • Can explain their reasoning or suggested decisions Can display “intelligent” behavior Can draw conclusions from complex relationships Can provide portable knowledge Can deal with uncertainty Not widely used or tested MSIS 110: Introduction to Computers; Instructor: S. Mathiyalakan 11 Characteristics of an Expert System • • • • • • Limited to relatively narrow problems Cannot readily deal with “mixed” knowledge Possibility of error Cannot refine its own knowledge May have high development costs Raise legal and ethical concerns MSIS 110: Introduction to Computers; Instructor: S. Mathiyalakan 12 Capabilities of an Expert Systems • • • • • • Strategic goal setting Planning Design Decision-making Quality control and monitoring Diagnosis MSIS 110: Introduction to Computers; Instructor: S. Mathiyalakan 13 Capabilities of Expert Systems MSIS 110: Introduction to Computers; Instructor: S. Mathiyalakan 14 When to Use Expert Systems • • • • • • High payoff Preserve scarce expertise Distribute expertise Provide more consistency than humans Faster solutions than humans Training expertise MSIS 110: Introduction to Computers; Instructor: S. Mathiyalakan 15 Components of an Expert System MSIS 110: Introduction to Computers; Instructor: S. Mathiyalakan 16 Knowledge Base • • • • Assembling human experts The use of fuzzy logic The use of rules The use of cases MSIS 110: Introduction to Computers; Instructor: S. Mathiyalakan 17 Knowledge Base MSIS 110: Introduction to Computers; Instructor: S. Mathiyalakan 18 Inference Engine • Backward chaining • Forward chaining • Comparison of backward and forward chaining MSIS 110: Introduction to Computers; Instructor: S. Mathiyalakan 19 The Use of Rules MSIS 110: Introduction to Computers; Instructor: S. Mathiyalakan 20 The Knowledge Acquisition Facility MSIS 110: Introduction to Computers; Instructor: S. Mathiyalakan 21 Components of an Expert System • The explanation facility • The knowledge acquisition facility • The user interface MSIS 110: Introduction to Computers; Instructor: S. Mathiyalakan 22 Expert Systems Development MSIS 110: Introduction to Computers; Instructor: S. Mathiyalakan 23 Participants in Developing and Using Expert Systems • Domain expert • Knowledge engineer • Knowledge user MSIS 110: Introduction to Computers; Instructor: S. Mathiyalakan 24 Participants in Developing and Using Expert Systems MSIS 110: Introduction to Computers; Instructor: S. Mathiyalakan 25 Domain Experts • • • • • • Recognize the real problem Develop a general framework for problem solving Formulate theories about the situation Develop and use general rules to solve a problem Know when to break the rules or general principles Solve problems quickly and efficiently MSIS 110: Introduction to Computers; Instructor: S. Mathiyalakan 26 Expert Systems Development Tools and Techniques MSIS 110: Introduction to Computers; Instructor: S. Mathiyalakan 27 Expert Systems Development Tools and Techniques MSIS 110: Introduction to Computers; Instructor: S. Mathiyalakan 28 Expert Systems Development Alternatives MSIS 110: Introduction to Computers; Instructor: S. Mathiyalakan 29 Applications of Expert Systems and Artificial Intelligence • • • • Credit granting and loan analysis Stock picking Catching cheats and terrorists Budgeting MSIS 110: Introduction to Computers; Instructor: S. Mathiyalakan 30 Applications of Expert System and Artificial Intelligence • • • • Information management and retrieval Games Virus detection Hospitals and medical facilities MSIS 110: Introduction to Computers; Instructor: S. Mathiyalakan 31 Virtual Reality MSIS 110: Introduction to Computers; Instructor: S. Mathiyalakan 32 Virtual Reality • Enables one or more users to move and react in a computer-simulated environment • Immersive virtual reality - user becomes fully immersed in an artificial, three-dimensional world that is completely generated by a computer • Virtual reality system - enables one or more users to move and react in a computer-simulated environment MSIS 110: Introduction to Computers; Instructor: S. Mathiyalakan 33 Segway MSIS 110: Introduction to Computers; Instructor: S. Mathiyalakan 34 Interface Devices • • • • Head-mounted display (HMD) Binocular Omni-Orientation Monitor (BOOM) CAVE Haptic interface MSIS 110: Introduction to Computers; Instructor: S. Mathiyalakan 35 Forms of Virtual Reality • Mouse-controlled navigation • Stereo projection systems • Stereo viewing from the monitor via stereo glasses MSIS 110: Introduction to Computers; Instructor: S. Mathiyalakan 36 Useful Applications • Medicine – used to link stroke patients to physical therapists • Education and training – used by military for aircraft maintenance • Entertainment – Star Wars Episode II: Attack of the Clones MSIS 110: Introduction to Computers; Instructor: S. Mathiyalakan 37 Useful Applications • Real Estate Marketing and Tourism – Used to increase real estate sales – Virtual reality tour of the White House MSIS 110: Introduction to Computers; Instructor: S. Mathiyalakan 38 Other Specialized Systems • Segway Personal Transporter • Adaptive brain interface technology • Personal awareness assistant (PAA) MSIS 110: Introduction to Computers; Instructor: S. Mathiyalakan 39 Summary • Artificial intelligence - used to describe computers with ability to mimic or duplicate functions of the human brain • Intelligent behavior - includes the ability to learn from experience • Expert systems - can explain their reasoning (or suggested decisions) and display intelligent behavior • Virtual reality systems - enables one or more users to move and react in a computer-simulated environment • Special-purpose systems - assist organizations and individuals in new and exciting ways. For example, Segway MSIS 110: Introduction to Computers; Instructor: S. Mathiyalakan 40