PPT-Evolutionary psychology A compelling explanation

Author : ava | Published Date : 2022-07-13

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

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Evolutionary psychology A compelling explanation: Transcript


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. The NATURE. in the Nature vs. Nurture conundrum . Principles That define this level of analysis . Biological psychologists use the “Reductionist Approach”. They attempt to explain behavior very simply …. By finding the physiological (physical) reasons behind the behavior. Steven . M. . Roels. Department . of Zoology, Michigan State . University. Introduction. “. It follows that naturalistic evolution will not attract a majority of Americans until our nation becomes less religious.” – . Khaled Rasheed. Computer Science Dept.. University of Georgia. http://www.cs.uga.edu/~khaled. Genetic algorithms. Parallel genetic algorithms. Genetic programming. Evolution strategies. Classifier systems. 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. Domestication. Pedro . Semōes. , . Josiane. Santos, Margarida Matos. Presentation by . Priya. Singha, UC, Irvine. Some questions for you to think about:. What is . domestication. ? How do different . On your desk have out your annotations homework and a writing utensil.. We are on . byod. . red. right now, so make sure your devices are put away.. “The longer I live, the more I believe that THE QUESTION IS THE ANSWER…”. Multi-objective Evolutionary Optimization. 1. Sources. “Handbook of Natural Computing,” Editors . Grzegorz. Rosenberg, Thomas Back and . Joost. N. . Kok. , Springer 2014. . “Multi-Objective Evolutionary Algorithms”, . 5.1. Definition : Requirements. “. Requirements are capabilities and conditions to which the system, and more broadly the project, must conform. ”. The UP does not attempt to fully define the requirements before programming but instead, promotes a systematic approach to finding, documenting, . . Multiobjective. . Optimization. . Algorithms. Karthik. . Sindhya. , . PhD. Postdoctoral Researcher. Industrial Optimization Group. Department of Mathematical Information Technology. Karthik.sindhya@jyu.fi. A discussion of the field of . evolutionary psychology. The study of behavior and mental function. Goal is to understand behavior . Psychology. Studies how evolution has. generated the diversity . of living organisms. 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 . .. Perspectives. Psychoanalytic. Behaviorism. Humanism. Cognitive. Evolutionary. Biological/Biomedical. Psychodynamic. The psychodynamic perspective originated with the work of Sigmund Freud. This perspective emphasizes the role of the . Chapter. 2: . Evolutionary. Computing: the . Origins. Historical perspective. Biological inspiration:. Darwinian evolution theory . (simplified!). Genetics . (simplified!). Motivation for EC . 2. EVOLUTIONARY BIOLOGYCASE WESTERN RESERVE UNIVERSITY

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