no code implementations • 22 Aug 2023 • OoLEN, Silke Asche, Carla Bautista, David Boulesteix, Alexandre Champagne-Ruel, Cole Mathis, Omer Markovitch, Zhen Peng, Alyssa Adams, Avinash Vicholous Dass, Arnaud Buch, Eloi Camprubi, Enrico Sandro Colizzi, Stephanie Colón-Santos, Hannah Dromiack, Valentina Erastova, Amanda Garcia, Ghjuvan Grimaud, Aaron Halpern, Stuart A Harrison, Seán F. Jordan, Tony Z Jia, Amit Kahana, Artemy Kolchinsky, Odin Moron-Garcia, Ryo Mizuuchi, Jingbo Nan, Yuliia Orlova, Ben K. D. Pearce, Klaus Paschek, Martina Preiner, Silvana Pinna, Eduardo Rodríguez-Román, Loraine Schwander, Siddhant Sharma, Harrison B. Smith, Andrey Vieira, Joana C. Xavier
The sheer number of different scientific perspectives relevant to the problem has resulted in the coexistence of diverse tools, techniques, data, and software in OoL studies.
no code implementations • 28 Mar 2023 • Hector Zenil, Alyssa Adams, Felipe S. Abrahão
We introduce a univariate signal deconvolution method based on the principles of an approach to Artificial General Intelligence in order to build a general-purpose model of models independent of any arbitrarily assumed prior probability distribution.
no code implementations • 23 Dec 2015 • Alyssa Adams, Hector Zenil, Eduardo Hermo Reyes, Joost Joosten
Global Rules change the complexity of the state evolution output which suggests that some complexity is intrinsic to the interaction rules themselves.