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    || Decision Support and Expert Systems|Assignment #1 | || Introduction The following are responses to the questions for assignment #1: Review Question 6: Why is management often equated with decision-making? Management is described as “a process by which organizational goals are achieved using resources” such as people (labor)‚ capital‚ and equipment (technology); these resources must be allocated to achieve organizational goals. The degree to which management is successful is dependent

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    Artificial Intelligence

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    Expert Systems (COSC 208) What is an Expert System? Expert system is an artificial intelligence program that has expert-level knowledge about a particular domain and knows how to use its knowledge to respond properly. In this context‚ a domain refers to the area within which the task is being performed. Ideally the expert systems should substitute a human expert. Edward Feigenbaum of Stanford University has defined expert system as “an intelligent computer program that uses knowledge and inference

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    Dual Court System

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    Q1. What is the dual-court system? Why do we have a dual court system? A. The dual-court system is the result of a general a agreement among the nation’s founders about the need for individual states to retain significant legislative authority and judicial autonomy separate from federal control. The reason why we have a dual-court system is‚ back then; new states joining the union were assured of limited federal intervention into local affairs. The state legislatures were free

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    Artificial Intelligence

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    The following successes are a verdict to the immense contributions in the past & present and also promise a bright future for humans and AI environments in the future: a. Economic Monitoring system b. Satellite Tracking system c. Space Navigation system d. Aircraft Monitoring system e. Mil Expert systems f. Vehicle Navigation sys g. Speech Synthesis & Recognition sys h. Immortal Robot sys i. Non-Volatile Memory sys The future environments of AI are meant to make a man’s life easier. They

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    information systems

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    Types of Information Systems Office Information Systems (OIS) An OIS is an information system that uses software‚ hardware and networks to improve work flow and allow communications among employees. 1. Software systems used: word processing‚ spreadsheets‚ databases‚ e-mail‚ Web browsers‚ Web page authoring and personal information management. 2. Technology systems used: voice mail‚ fax‚ videoconferencing and

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    to learn the models ’ nonparametric nature‚ its ability to generalize‚ All of the above 6. The main processing elements of a neural network are individual neurons 7. A software suite is created when several software products are integrated into system 8. One dose not have to rethink completely what to do every time a similar problem is encountered ‚ when using rules of thumb 9. Common tools used for supervised induction are neural networks‚ dicision trees and if then else rules that need not

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    Review

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    Artificial Intelligence Question for reviews 1. What is knowledge? Why experts usually have detailed knowledge of a limited area of a specific domain. What do we mean by heuristic? Knowledge is something theoretical or practical understanding the subject‚ which can include facts‚ information‚ descriptions or skills. Knowledge is the sum of what is currently known. 2. What is a production rule? Give an example and define two basic parts of the production rule. Production rule is a mechanism

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    Class Diagram

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    basic components of a CDSS include a dynamic (medical) knowledge base and an inferencing mechanism (usually a set of rules derived from the experts and evidence-based medicine) and implemented through medical logic modules based on a language such as Arden syntax. It could be based on Expert systems or artificial neural networks or both (connectionist expert systems). Bayesian Network [edit] The Bayesian network is a knowledge-based graphical representation that shows a set of variables and their probabilistic

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    2. Describe the solution for water jug problem along with the necessary production rules. 3. Write an algorithm for breadth first search 4. Write an algorithm for depth first search 5. What is a production system? 6. Explain the characteristics of production systems with examples. Chapter 3: Heuristic Search Techniques PART A: 1. List out the heuristic search techniques 2. What is an agenda. PART B: 1. Explain the Simple hill climbing algorithm. 2. Explain the steepest

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    Fuzzy Set

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    130: Rule-based Expert Systems Ajith Abraham Oklahoma State University‚ Stillwater‚ OK‚ USA 1 Problem Solving Using Heuristics 2 What are Rule-based Systems? 3 Inference Engine in Rule-based Systems 4 Expert System Development 5 Fuzzy Expert Systems 6 Modeling Fuzzy Expert Systems 7 Illustration of Fuzzy Expert System Design 8 Adaptation of Fuzzy Inference Systems 9 Summary References 909 910 911 911 912 914 914 918 918 919 1 PROBLEM SOLVING USING HEURISTICS A general introduction to artificial

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