<html><head><meta http-equiv="Content-Type" content="text/html charset=us-ascii"></head><body style="word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space;" class="">Dear Colleagues,<br class=""> <br class="">we would like to draw your attention to the forthcoming special issue on "<a href="http://www.mdpi.com/journal/entropy/special_issues/information-theoretic" class="">Information Theoretic Incentives for Cognitive Systems</a>" in the open access journal Entropy and invite you to contribute -- deadline February 28th, 2015.<br class=""> <br class="">In recent years, ideas such as "life is information processing" or "information holds the key to understanding life" have become more common. However, how can information, or more formally Information Theory, increase our understanding of life, or life-like systems?<br class=""> <br class="">Information Theory not only has a profound mathematical basis, but also typically provides an intuitive understanding of processes, such as learning, behavior and evolution terms of information processing.<br class=""> <br class="">In this special issue, we are interested in both: a.) the information-theoretic formalization and quantification of different aspects of life, such as driving forces of learning and behavior generation, information flows between neurons, swarm members and social agents, and information theoretic aspects of evolution and adaptation and b.) the simulation and creation of life-like systems with previously identified principles and incentives.<br class=""> <br class="">Topics with relation to artificial and natural systems:<br class=""> <br class="">information theoretic intrinsic motivations<br class="">information theoretic quantification of behavior<br class="">information theoretic guidance of artificial evolution<br class="">information theoretic guidance of self-organization<br class="">information theoretic driving forces behind learning<br class="">information theoretic driving forces behind behavior<br class="">information theory in swarms<br class="">information theory in social behavior<br class="">information theory in evolution<br class="">information theory in the brain<br class="">information theory in system-environment distinction<br class="">information theory in the perception action loop<br class="">information theoretic definitions of life<br class=""> <br class="">Christoph Salge<br class="">Georg Martius<br class="">Keyan Ghazi-Zahedi<br class="">Daniel Polani<br class="">- Guest Editors -<br class=""> <br class="">Further Information: <a href="http://www.mdpi.com/journal/entropy/special_issues/information-theoretic" class="">http://www.mdpi.com/journal/entropy/special_issues/information-theoretic</a><br class=""><br class="">With best wishes,<br class="">Keyan Ghazi-Zahedi<br class=""><br class="">--<br class="">Keyan Ghazi-Zahedi, Dr. rer. nat.<br class="">Information Theory of Cognitive Systems<br class="">Max Planck Institute for Mathematics in the Sciences<br class="">phone: (+49) 341 9959 545, fax: (+49) 341 9959 555, office A11</body></html>