brainpower for your business chapter 4 decision support and artificial intelligence

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  • Slide 1
  • Brainpower for Your Business Chapter 4 DECISION SUPPORT AND ARTIFICIAL INTELLIGENCE
  • Slide 2
  • Types of Systems Transaction Processing Systems(TPS) Systems used to process and collect data on day to day transactions (core business activity) Transaction - An exchange or trade, as of ideas, money, goods, etc Management Information Systems (MIS) Use data from TPS to help with day to day management and short term strategies. Executive Information Systems (EIS) Uses data from the MIS (and other sources) to assist in strategic decision-making
  • Slide 3
  • Types of Decisions You Face Structured decision processing a certain information in a specified way so that you will always get the right answer Nonstructured decision one for which there may be several right answers, without a sure way to get the right answer Recurring decision happens repeatedly Nonrecurring (ad hoc) decision one you make infrequently
  • Slide 4
  • Types of Decisions You Face EASIEST MOST DIFFICULT
  • Slide 5
  • Business Decisions Business decisions often relate to solving specific problems. These types of decisions consist of four phases. 1. Intelligence find or recognize a problem, need, or opportunity 2. Design consider possible ways of solving the problem 3. Choice weigh the merits of each solution 4. Implementation carry out the solution
  • Slide 6
  • Four Phases of Problem Solving
  • Slide 7
  • DECISION SUPPORT SYSTEMS Decision support system (DSS) a highly flexible and interactive system that is designed to support decision making when the problem is not structured Decision support systems help you analyze, but YOU must know how to solve the problem, and how to use the results of the analysis
  • Slide 8
  • You and a DSS
  • Slide 9
  • Components of a DSS Model Consists of both the DSS models and the model management system A model is representation of something (e.g. we all operate on some model of how the world works) Data management Stores and maintains the information that you want your DSS to use User interface management Allows you to communicate with the DSS
  • Slide 10
  • Components of a DSS
  • Slide 11
  • Types of Decision Support Systems Try to identify the base model that each of the following system is based upon
  • Slide 12
  • GEOGRAPHIC INFORMATION SYSTEMS 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, and make decisions
  • Slide 13
  • Zillow GIS Software for Denver
  • Slide 14
  • ARTIFICIAL INTELLIGENCE DSSs and GISs support decision making; you are still completely in charge Artificial intelligence, the science of making machines imitate human thinking and behavior, can replace human decision making in some instances Expert systems Neural networks (and fuzzy logic) Genetic algorithms Intelligent agents (or agent-based technologies)
  • Slide 15
  • EXPERT SYSTEMS (AI) Expert (knowledge-based) system an artificial intelligence system that applies reasoning capabilities to reach a conclusion Used for Diagnostic problems (whats wrong?) Prescriptive problems (what to do?)
  • Slide 16
  • Traffic Light Expert System
  • Slide 17
  • What Expert Systems Can and Cant Do An expert system can Reduce errors Improve customer service Reduce cost An expert system cant Use common sense Automate all processes
  • Slide 18
  • NEURAL NETWORKS AND FUZZY LOGIC (AI) Neural network (artificial neural network or ANN) an artificial intelligence system that is capable of finding and differentiating patterns
  • Slide 19
  • Neural Networks Can Learn and adjust to new circumstances on their own Take part in massive parallel processing Function without complete information Cope with huge volumes of information Analyze nonlinear relationships
  • Slide 20
  • Fuzzy Logic Fuzzy logic a mathematical method of handling imprecise or subjective information Used to make ambiguous information such as short usable in computer systems Applications Googles search engine Washing machines Antilock breaks
  • Slide 21
  • GENETIC ALGORITHMS (AI) Genetic algorithm an artificial intelligence system that mimics the evolutionary, survival-of-the-fittest process to generate increasingly better solutions to a problem
  • Slide 22
  • Evolutionary Principles of Genetic Algorithms 1. Selection or survival of the fittest or giving preference to better outcomes 2. Crossover combining portions of good outcomes to create even better outcomes 3. Mutation randomly trying combinations and evaluating the success of each
  • Slide 23
  • Genetic Algorithms Can Take thousands or even millions of possible solutions and combine and recombine them until it finds the optimal solution Work in environments where no model of how to find the right solution exists
  • Slide 24
  • INTELLIGENT AGENTS (AI) Intelligent agent software that assists you, or acts on your behalf, in performing repetitive computer-related tasks Types Information agents intelligent agents that search for information of some kind and bring it back Monitoring-and-surveillance or predictive agents intelligent agents that constantly observe and report on something of interest, such as a network or manufacturing equipment Data-mining agents operates in a data warehouse discovering information User or personal agents takes action on your behalf such as prioritizing e-mail, acting as gaming partner, assembling customized news reports, and filling out forms for you
  • Slide 25
  • Other types of AI based Models Biomimicry learning from ecosystems and adapting their characteristics to human and organizational situations Used to 1. Learn how people-based systems behave 2. Predict how they will behave under certain circumstances 3. Improve human systems to make them more efficient and effective
  • Slide 26
  • Agent-Based Modeling Agent-based modeling a way of simulating human organizations using multiple intelligent agents, each of which follows a set of simple rules and can adapt to changing conditions Multi-agent system groups of intelligent agents have the ability to work independently and to interact with each other
  • Slide 27
  • Swarm Intelligence Swarm (collective) intelligence the collective behavior of groups of simple agents that are capable of devising solutions to problems as they arise, eventually leading to coherent global patterns Distinguishing characteristics are: Flexibility adaptable to change Robustness tasks are completed even if some individuals are removed Decentralization each individual has a simple job to do