TY - CHAP T1 - Information Measures of Complexity, Emergence, Self-organization, Homeostasis, and Autopoiesis T2 - Guided Self-Organization: Inception Y1 - 2014 A1 - Nelson Fernández A1 - Carlos Maldonado A1 - Carlos Gershenson ED - Mikhail Prokopenko AB -

This chapter reviews measures of emergence, self-organization, complexity, homeostasis, and autopoiesis based on information theory. These measures are derived from proposed axioms and tested in two case studies: random Boolean networks and an Arctic lake ecosystem. Emergence is defined as the information produced by a system or process. Self-organization is defined as the opposite of emergence, while complexity is defined as the balance between emergence and self-organization. Homeostasis reflects the stability of a system. Autopoiesis is defined as the ratio between the complexity of a system and the complexity of its environment. The proposed measures can be applied at different scales, which can be studied with multi-scale profiles.

JF - Guided Self-Organization: Inception PB - Springer UR - http://arxiv.org/abs/1304.1842 N1 - In Press ER - TY - JOUR T1 - Complex Networks JF - Artificial Life Y1 - 2011 A1 - Carlos Gershenson A1 - Mikhail Prokopenko AB - Introduction to the Special Issue on Complex Networks, Artificial Life journal. PB - MIT Press VL - 17 UR - http://arxiv.org/abs/1104.5538 ER - TY - CHAP T1 - Self-organizing traffic lights: A realistic simulation T2 - Self-Organization: Applied Multi-Agent Systems Y1 - 2007 A1 - Seung Bae Cools A1 - Carlos Gershenson A1 - Bart {D'Hooghe} ED - Mikhail Prokopenko AB - We have previously shown in an abstract simulation (Gershenson, 2005) that self-organizing traffic lights can improve greatly traffic flow for any density. In this paper, we extend these results to a realistic setting, implementing self-organizing traffic lights in an advanced traffic simulator using real data from a Brussels avenue. On average, for different traffic densities, travel waiting times are reduced by 50% compared to the current green wave method. JF - Self-Organization: Applied Multi-Agent Systems PB - Springer UR - http://arxiv.org/abs/nlin.AO/0610040 ER -