PPT-Hai Li and Yiran Chen Evolutionary Intelligence Lab

EILab Electrical and Computer Engineering University of Pittsburgh Embrace the BRAIN Century EDA Challenges in Neuromorphic Computing What is Neuromorphic Computing An interdisciplinary technology . 661 Chen G 1 , Chen S 2 , Ng S 1 1. 2. Depart ment of Urology, Chung Shan Medical University Hospital BLADDER OVERSENSITIVITY IS DIFFERENT FROM URODYNAMICALLY PROVEN DETRUSOR OVERACTIVITY IN OVERA 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. Psychology. What is evolutionary psychology?. It focuses on how human beings came to be who we are today. Tooby. . and . Cosmides. (1992) define evolutionary psychology as informed by the fact that the inherited structure of the human mind is the product of evolutionary processes (!). 1. C. Li, V. M. Lubecke, O. Boric-Lubecke, and J. Lin, “A review on recent advances in Doppler radar sensors for noncontact healthcare monitoring,” IEEE Trans. Microw. Theory Tech. (5), 2046 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). What is a Sentient Robot?. A sentient robot. is. a machine capable of. . carrying out a various complex function automatically. With the ability to feel, . perceive. , and have subjective experiences. This allows them to interact with other being.. 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 . 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). Dr. Sagar . Samtani. Assistant Professor and Grant Thornton Scholar. Kelley School of Business, Indiana University. 1. Bootcamp Background – AI-enabled Analytics. Artificial Intelligence (AI) has rapidly emerged as a key disruptive technology of...