{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/pyphi-a-toolbox-for-integrated-information","title":"PyPhi: A toolbox for integrated information theory","arxiv_id":"1712.09644","date":"2017-12-27","proceeding":null,"authors":["William G. P. Mayner","William Marshall","Larissa Albantakis","Graham Findlay","Robert Marchman","Giulio Tononi"],"abstract":"Integrated information theory provides a mathematical framework to fully\ncharacterize the cause-effect structure of a physical system. Here, we\nintroduce PyPhi, a Python software package that implements this framework for\ncausal analysis and unfolds the full cause-effect structure of discrete\ndynamical systems of binary elements. The software allows users to easily study\nthese structures, serves as an up-to-date reference implementation of the\nformalisms of integrated information theory, and has been applied in research\non complexity, emergence, and certain biological questions. We first provide an\noverview of the main algorithm and demonstrate PyPhi's functionality in the\ncourse of analyzing an example system, and then describe details of the\nalgorithm's design and implementation.\n  PyPhi can be installed with Python's package manager via the command 'pip\ninstall pyphi' on Linux and macOS systems equipped with Python 3.4 or higher.\nPyPhi is open-source and licensed under the GPLv3; the source code is hosted on\nGitHub at https://github.com/wmayner/pyphi . Comprehensive and\ncontinually-updated documentation is available at https://pyphi.readthedocs.io/\n. The pyphi-users mailing list can be joined at\nhttps://groups.google.com/forum/#!forum/pyphi-users . A web-based graphical\ninterface to the software is available at\nhttp://integratedinformationtheory.org/calculate.html .","url_abs":"http://arxiv.org/abs/1712.09644v3","url_pdf":"http://arxiv.org/pdf/1712.09644v3.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"pyphi-a-toolbox-for-integrated-information","repo_url":"https://github.com/wmayner/pyphi","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}