PPT-PREDATOR/PREY CELLULAR AUTOMATA
Author : lois-ondreau | Published Date : 2016-06-21
Richard Peters ES 314 Sonoma State University Cellular Automata A cellular automaton is a collection of colored cells on a grid of specified shape that evolves through
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PREDATOR/PREY CELLULAR AUTOMATA: Transcript
Richard Peters ES 314 Sonoma State University Cellular Automata A cellular automaton is a collection of colored cells on a grid of specified shape that evolves through a number of discrete time steps according to a set of rules based on the states of neighboring cells The rules are then applied iteratively for as many time steps as desired. Community Ecology:. Antagonism (part 2).. Antagonisms: . Prey and predator are differently motivated:. Whereas the prey runs for its life, the predator runs for a meal.. Or, when the predator loses it misses a meal; when the prey is defeated, it loses its life.. Herbivory. Photo . of acorns & weevil grub from . http://www.insectimages.org/browse/detail.cfm?imgnum=0014201. Predators (active foragers, ambush predators, sit-and-wait predators, . etc. .). . Predators. . Predators are animals that eat other animals for food.. Barn Owl. Mountain Lion. Predators are . carnivores. (animals that eat meat) or . omnivores . Suharsh Sivakumar. December 11, 2010. Cellular Automaton. A grid of cells where all the cells are governed by a common set of rules based on the number of adjacent neighbors.. As generations go by, the rules work together to show very interesting phenomena in the big picture. . Automata. (Reading: Chapter 10, . Complexity: A Guided Tour. ). What is a cellular automaton? . light bulbs pictures. relation to Turing machines. “non-von-Neumann-style architecture”. invented by von Neumann . US Department of. Homeland Security. Predator-Prey Relationships. in Belowground Ecosystems. Goals:. Define . Predator . and. Prey . in relation to soil ecology. Define a . mathematical model. and identify some examples when one is useful. Introduction. Before you begin predict what will happen to the camouflage and visual acuity scores of the prey and predator over 10 generations. . Write . a hypothesis in your lab notebook.. Game set up. Design of an . adaptive . r. obot . controller for a predator-prey task using e-puck robots. The Goal. To . design. an . adaptive. . robot controller . capable of performing a . predator-prey task. Final Write up is due 9/16. Planning. Purpose/Question. :. . How does the predatory and prey relationship of ______ and _______ effect the negative feedback process seen in the natural environment?. By: Alexandra Silva and . Dani. Hoover. Intro to Systems ESE 251. 11/24/09. History. Alfred . Lotka. Vito . Volterra. -American biophysicist. -Proposed the predator-prey model in 1925. -Italian mathematician. t. emporally extensive cycling. More direct data on population density (not simply the harvest data). The data align well with . Lotka-Volterra. Predator-Prey . M. odel predictions. 0 5 10. Our simulation will consist of a game in which predators (students) with different size mouths (forceps) will compete to capture prey (beans) which vary in color. . There . are four predator phenotypes (different size and shaped forceps) and four prey phenotypes differing in color and size: white-large, brown-medium (+), black- medium (-), & tan-small).. Predator-Prey, Parasitoid-Host & Parasite-Host Relationships. “Nature red in tooth & claw”. Alfred Tennyson (1809 - 1892). Why study predation & parasitism? . A basic-science answer:. Theoretical Models (Predator-Prey . Dymanics. ). The . Lotka-Volterra. model . for predator-prey (or . herbivore-plant, or . parasitoid. -host) dynamics . deals with one . predator population, one prey .
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