PPT-Heuristic

Processing amp Attitude Change The Two Routes to Persuasion Message Audience High ability and motivation Low ability and motivation Systematic processing Heuristic processing Persuasion. Heuristic - a “rule of thumb” used to help guide search. often, something learned experientially and recalled when needed. Heuristic Function - function applied to a state in a search space to indicate a likelihood of success if that state is selected. Bart Jansen, University of Utrecht. Problem background. Geometrical problem statement. Research. Experimental evaluation of heuristics. Heuristics. Results. Conclusion. Outline. 2. Several types of analysis require accessibility . 1. . HEURISTICS FOR PROCESS SYNTHESIS. Ref:. . Seider. , Seader and Lewin (2004), Chapter 5. Heuristics . 2. Introduction. Chemical reaction (to eliminate differences in molecular type). Mixing and recycle (to distribute the chemicals). NPT Test Gauges TOO SIMILIAR to Riser Margin For Crew To Ignore. Pressure of Reservoir Pushing “UP” is . ~1,400 psi. Pressure of Riser Mud Pushing “DOWN” is . ~1,400 psi. Water Depth. Ph.D. dissertation of. Fogarasi Norbert, M.Sc.. Supervisor:. Dr. Levendovszky János, D. Sc.. Doctor of the Hungarian Academy of Sciences. Department of Telecommunications. Budapest University of Technology and Economics. Initialize. . the . frontier . using the . starting state. While the frontier is not empty. Choose a frontier node to expand according to . search strategy . and take it off the frontier. If the node contains the . Objectives. Today. The inspection process. Practice inspection. Heuristic evaluation process. Practice evaluation. Next time. Rationale behind why inspections and heuristic evaluation is so great. Normally would do this in the opposite order, but this way you should be able to better prepare any materials over the weekend. in this presentation were developed by Rowan professor Mark Hale. Professor Hale is a Cognitive . Psychologist and . Human . Factors . Specialist and very gratefully contributed his material to this course in . Jingtao Zhu. May 13rd,2016. “Efficient Influence Maximization . in Social Networks. ”. . Written by Chen Wei, Yajun Wang, and Siyu Yang. . Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining. unknown environment. Athanasios Ch. Kapoutsis. , Christina M. . Malliou. , Savvas A. Chatzichristofis and Elias B. . Kosmatopoulos. School of Electrical and Computer Engineering,. Democritus University of Thrace, Xanthi, Greece. NPT Test Gauges TOO SIMILIAR to Riser Margin For Crew To Ignore. Pressure of Reservoir Pushing “UP” is . ~1,400 psi. Pressure of Riser Mud Pushing “DOWN” is . ~1,400 psi. Water Depth. Rhea . McCaslin. The GDS Network. Guarded Discrete Stochastic – neural network developed by Johnston and . Adorf. 2. Hubble Space Telescope. Scheduling Problem. PROBLEM: Between 10,000 – 30,000 astronomical observations per year . Continued. Before we continue. Breadth-First. Depth-First. Uniform Cost. Iterative-Deepening. Before we continue. Breadth-First. S,A,B,D,C,G. Depth-First. S,A,C,D,B,G. Uniform Cost. S,A,B,D,C,G. Iterative-Deepening. Rhea . McCaslin. The GDS Network. Guarded Discrete Stochastic – neural network developed by Johnston and . Adorf. 2. Hubble Space Telescope. Scheduling Problem. PROBLEM: Between 10,000 – 30,000 astronomical observations per year .