From Copycat Codelets to the AI Genetic Internet Protocol

Aug 3, 2017 · Toronto, Canada

How temperature and pressure can be analogous to demand and offer of reactive genetic microservices?

- The Copycat Project - Prof. Melanie Mitchell
- The Code Pile 1 / AI Manhattan Project - Alex Ianta

Melanie Mitchell is Professor of Computer Science at Portland State University, and External Professor and Member of the Science Board at the Santa Fe Institute. She attended Brown University, where she majored in mathematics and did research in astronomy, and the University of Michigan, where she received a Ph.D. in computer science, Her dissertation, in collaboration with her advisor Douglas Hofstadter, was the development of Copycat, a computer program that makes analogies. She has held faculty or professional positions at the University of Michigan, the Santa Fe Institute, Los Alamos National Laboratory, the OGI School of Science and Engineering, and Portland State University. She is the author or editor of five books and over 80 scholarly papers in the fields of artificial intelligence, cognitive science, and complex systems. Her most recent book, Complexity: A Guided Tour (Oxford, 2009), won the 2010 Phi Beta Kappa Science Book Award. It was also named by Amazon.com as one of the ten best science books of 2009, and was longlisted for the Royal Society's 2010 book prize. Melanie originated the Santa Fe Institute's Complexity Explorer project, which offers online courses and other educational resources related to the field of complex systems.

Alex Ianta is co-organizer at Toronto Code Pile 1 Programming and a 3rd year computer science student at Dalhousie University currently on co-op at RBC. He is lead programmer at TCP1P.net, building the backend for a smart market of microservices. With a keen interest in everything from artificial intelligence and cybernetics to philosophy, politics, and human psychology, he is passionate about demonstrating the real world applicability of the strangest most esoteric concepts in computing that he stumbles upon. @aianta

https://youtu.be/vzDE6gAZ79c

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  • Toronto Code Pile 1 Programming

    We are social programming enthusiasts building an innovation reactor. Join the Social-AI Chain Reaction! The first human-made self-sustaining chain reaction was initiated in Chicago Pile 1 on Dec 2, 1942. The first human-AI innovation chain reaction can be initiated on Code Pile 1 on Dec 2, 2017, with your help. Code Pile 1 community meets openly and collaborates on social media and social coding platforms aiming to speedup progress for the benefit of all. The Atomic Age began 75 years ago on Dec 2, 1942.

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