PPT-THE EVOLUTIONARY CONTRACT MODEL

The Scrum Gathering London 11 October 2011 Susan Atkinson Legal Director gallenalliance Solicitors Development of productsservices involves the optimisation of knowledge creation. Chapter 1. Contents. . Positioning of EC and the basic EC metaphor. Historical perspective. Biological inspiration:. Darwinian evolution theory . (simplified!). Genetics . (simplified!). Motivation for EC. Graph of Gradual Evolution. http://anthro.palomar.edu/synthetic/images/graph_of_phyletic_gradualism.gif. Some biologists claim that most evolutionary change takes place as a result of a series of very small changes . 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. 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). 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, . 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 . The INITIAL patterns of evolution L eonid E. Grinin Laboratory for monitoring of socio-political destabilization risks, HSE THE ORIGINS OF THE WORLD’S FUNDUMENTALS AND THE BASIC SIMILARITIES OF THE MATTER DISCLAIMER. The most recent version of the Excel model is available on the SAFS website, and may differ slightly from the model presented here.. History. Prior to 2010, school district employees could only share leave with employees of the same district.. 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). 1. Contents. Key components of an EC system. Positioning of EC and the basic EC metaphor. Biological inspiration:. Darwinian evolution theory . (simplified!). Genetics . (simplified!). Motivation for EC.