MIS Chapter 4: Decision Support and Artificial Intelligence

1.) Intelligence - find or recognize problem 2.) Design - consider possible ways of solving 3.) Choice - weigh merits of each solution 4.) Implementation - carry out solution

processing certain info in a specified way to get the right answer for sure

may be several right answers w/o sure way of getting THE right answer

decision that happens repeatedly

decision that happens infrequently

- highly flexible and interactive system designed to support non-structured decision making problems - helps analyze BUT you must know how to solve based on the results of analysisEXAMPLE = Excel

consists of both DSS and MMS

stores and maintains info that you want your DDS to use

allows you to communicate with DSS

- DSS designed to analyze spatial info or anything in map form

-knowledge based - applies reasoning capabilities to reach conclusion - diagnostic and prescriptive problemsCAN: - reduce errors - improve customer service - reduce cost CANT: - use common sense -automate all processes

- "ANN" - capable of finding and differentiating patternsCAN: - learn and adjust - do massive parallel processing - function w/o complete info - cope w/ large volumes - analyze nonlinear relationships

Mimics evolutionary survival of the fittest processes to generate increasingly better solutions

software that assists or acts on your behalf, as in performing repetitive computer related tasks -buying agent/shopper bot = helps customer find product or service they want - user /personal agent = takes action on your behalf (EX: CPU gaming partner) - Monitoring/Surveillance Agent = IA that observes and reports on equipment - Data Mining Agent