PPT-Evolutionary Psych Ch. 3 - WBPHMD

Barbie Manufactured by Mattel Designed by Evolution The Evolutionary Psych of Sex amp Mating Etic Attraction Buss 1989 10k Ppl from 37 cultures asked for ideal characteristics in a mate. vs.. poker games. Yikan. Chen (yc2r@virginia.edu). Weikeng. Qin (wq7yt@virginia.edu). 1. Outline. 2. Evolutionary Algorithm. Poker!. Artificial Neural Network. E-ANN. Evolutionary algorithm. 3. Evolutionary algorithm. Some slides are imported from . “Getting creative with evolution” from. P. Bentley, University College London. http://evonet.dcs.napier.ac.uk/summerschool2002/tutorials.html. http://en.wikipedia.org/wiki/Evolutionary_art. Part 2: Dec. . 2. , 2011. More on eyewitness memory. 2. . Storage stage –. Elizabeth Loftus. ’ research:. What . is the misinformation effect?. 3. Retrieval –. Lineup format:. Gary Wells’ research on lineups:. A. lgorithms. Andrew . Cannon. Yuki Osada. Angeline Honggowarsito. Contents. What are Evolutionary Algorithms (EAs. )?. Why are EAs Important?. Categories of EAs. Mutation. Self . Adaptation. Recombination. 1. Evolutionary Algorithms. CS 478 - Evolutionary Algorithms. 2. Evolutionary Computation/Algorithms. Genetic Algorithms. Simulate “natural” evolution of structures via selection and reproduction, based on performance (fitness). Everything you’ve always wanted to know about your undergraduate . psychology degree . and more!. Welcome to the Psychology Department!. We are Popular! We have more students than space available…what does that mean for you? . and in Individual Evaluations. Psychology 466: Judgment & Decision Making . Instructor: John Miyamoto. 11/27/2017: Lecture 10-1. Note: This . Powerpoint. presentation . may contain . macros that I wrote to help me create the slides. . A Critique of the Heuristics & Biases . Approach to Judgment and Decision Making. Psychology 466: Judgment & Decision Making . Instructor: John Miyamoto. 10/26/2017: Lecture 05-2. Note: This . Evo. . Psyc. is the application of Darwinian principles to the understanding of human nature..  . To understand how Darwinian principles are applied to humans one must first understand a number of concepts and premises upon which . Evo. . Psyc. is the application of Darwinian principles to the understanding of human nature..  . To understand how Darwinian principles are applied to humans one must first understand a number of concepts and premises upon which . Events. Marcos Pizza Fundraiser. Mon, September 29, 4pm – 9pm. RSVP:. http. ://. www.groupraise.com/events/4020. Knights Give Back. Sat, . October 11. th. We are registered as a team . . Mark it in your calendar If you signed up. What you will learn. Common traits of problems which can be solved by EAs efficiently. “HUMIES” competition with few examples of winning solutions of various problems. When EAs can be competitive with Reinforcement Learning techniques when solving various control problems. Behaviours are evolved responses to the environment in which the human species evolved.. There are two levels on which behaviours can be transmitted:. Genetic. Cultural. Timing information can inform as to which level generates a particular behaviour.. 1. Evolutionary Algorithms. CS 472 - Evolutionary Algorithms. 2. Evolutionary Computation/Algorithms. Genetic Algorithms. Simulate “natural” evolution of structures via selection and reproduction, based on performance (fitness).