01049nas a2200109 4500008004100000245009000041210006900131260001300200520065500213100002300868856004800891 2018 eng d00aInformation in Science and Buddhist Philosophy: Towards a Non-Materialistic Worldview0 aInformation in Science and Buddhist Philosophy Towards a NonMate cNovember3 aInformation theory has been developed for seventy years with technological applications that have transformed our societies. The increasing ability to store, transmit, and process information is having a revolutionary impact in most disciplines. The goal of this work is to compare the formal approach to information with Buddhist philosophy. Considering both approaches as compatible and complementary, I argue that information theory can improve our understanding of Buddhist philosophy and vice versa. The resulting synthesis leads to a worldview based on information that overcomes limitations of the currently dominating physics-based worldview.1 aGershenson, Carlos uhttp://turing.iimas.unam.mx/sos/?q=node/20102214nas a2200157 4500008004100000245014100041210006900182260003400251300000900285490000700294520164000301100002201941700002301963700002101986856004902007 2017 eng d00aImproving public transportation systems with self-organization: A headway-based model and regulation of passenger alighting and boarding0 aImproving public transportation systems with selforganization A bPublic Library of Sciencec12 a1-200 v123 aThe equal headway instability—the fact that a configuration with regular time intervals between vehicles tends to be volatile—is a common regulation problem in public transportation systems. An unsatisfactory regulation results in low efficiency and possible collapses of the service. Computational simulations have shown that self-organizing methods can regulate the headway adaptively beyond the theoretical optimum. In this work, we develop a computer simulation for metro systems fed with real data from the Mexico City Metro to test the current regulatory method with a novel self-organizing approach. The current model considers overall system’s data such as minimum and maximum waiting times at stations, while the self-organizing method regulates the headway in a decentralized manner using local information such as the passenger’s inflow and the positions of neighboring trains. The simulation shows that the self-organizing method improves the performance over the current one as it adapts to environmental changes at the timescale they occur. The correlation between the simulation of the current model and empirical observations carried out in the Mexico City Metro provides a base to calculate the expected performance of the self-organizing method in case it is implemented in the real system. We also performed a pilot study at the Balderas station to regulate the alighting and boarding of passengers through guide signs on platforms. The analysis of empirical data shows a delay reduction of the waiting time of trains at stations. Finally, we provide recommendations to improve public transportation systems.1 aCarreón, Gustavo1 aGershenson, Carlos1 aPineda, Luis, A. uhttps://doi.org/10.1371/journal.pone.019010000462nas a2200145 4500008004100000245006600041210006100107260001300168300001200181490000600193100002600199700002000225700002300245856004800268 2017 eng d00aImproving ``tail'' computations in a BOINC-based Desktop Grid0 aImproving tail computations in a BOINCbased Desktop Grid cDecember a371-3780 v71 aKolokoltsev, Yevgeniy1 aIvashko, Evgeny1 aGershenson, Carlos uhttp://turing.iimas.unam.mx/sos/?q=node/20900398nas a2200109 4500008004100000245006100041210006100102260004000163300001400203100002300217856004800240 2016 eng d00aImproving Urban Mobility by Understanding Its Complexity0 aImproving Urban Mobility by Understanding Its Complexity aMexico City, Mexicob{Buró–Buró a149–1511 aGershenson, Carlos uhttp://turing.iimas.unam.mx/sos/?q=node/17600416nas a2200157 4500008004100000245001700041210001700058300001000075100001600085700002100101700001900122700002700141700001900168700002300187856004800210 2016 eng d00aIntroduction0 aIntroduction a3–91 aFroese, Tom1 aSiqueiros, Mario1 aAguilar, Wendy1 aIzquierdo, Eduardo, J.1 aSayama, Hiroki1 aGershenson, Carlos uhttp://turing.iimas.unam.mx/sos/?q=node/17000716nas a2200121 4500008004100000245005900041210005700100300001400157490000600171520032400177100002300501856007000524 2014 eng d00aInfo-computationalism or Materialism? Neither and Both0 aInfocomputationalism or Materialism Neither and Both a241–2420 v93 aThe limitations of materialism for studying cognition have motivated alternative epistemologies based on information and computation. I argue that these alternatives are also inherently limited and that these limits can only be overcome by considering materialism, info-computationalism, and cognition at the same time.1 aGershenson, Carlos uhttp://www.univie.ac.at/constructivism/journal/9/2/241.gershenson01277nas a2200157 4500008004100000245009900041210006900140260001300209300001000222520076000232100002300992700002201015700002301037700002401060856003501084 2014 eng d00aInformation Measures of Complexity, Emergence, Self-organization, Homeostasis, and Autopoiesis0 aInformation Measures of Complexity Emergence Selforganization Ho bSpringer a19-513 a
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.
1 aFernández, Nelson1 aMaldonado, Carlos1 aGershenson, Carlos1 aProkopenko, Mikhail uhttp://arxiv.org/abs/1304.184201084nas a2200109 4500008004100000245006400041210006000105490001500165520073600180100002300916856003500939 2013 eng d00aThe Implications of Interactions for Science and Philosophy0 aImplications of Interactions for Science and Philosophy0 vEarly View3 aReductionism has dominated science and philosophy for centuries. Complexity has recently shown that interactions–-which reductionism neglects–-are relevant for understanding phenomena. When interactions are considered, reductionism becomes limited in several aspects. In this paper, I argue that interactions imply non-reductionism, non-materialism, non-predictability, non-Platonism, and non-nihilism. As alternatives to each of these, holism, informism, adaptation, contextuality, and meaningfulness are put forward, respectively. A worldview that includes interactions not only describes better our world, but can help to solve many open scientific, philosophical, and social problems caused by implications of reductionism.1 aGershenson, Carlos uhttp://arxiv.org/abs/1105.282701234nas a2200181 4500008004100000245004600041210004400087260001500131300001400146520075300160100002300913700001400936700001700950700001500967700001400982700001500996856004101011 2004 eng d00aIntroduction to Random {Boolean} Networks0 aIntroduction to Random Boolean Networks aBoston, MA a160–1733 aThe goal of this tutorial is to promote interest in the study of random Boolean networks (RBNs). These can be very interesting models, since one does not have to assume any functionality or particular connectivity of the networks to study their generic properties. Like this, RBNs have been used for exploring the configurations where life could emerge. The fact that RBNs are a generalization of cellular automata makes their research a very important topic. The tutorial, intended for a broad audience, presents the state of the art in RBNs, spanning over several lines of research carried out by different groups. We focus on research done within artificial life, as we cannot exhaust the abundant research done over the decades related to RBNs.1 aGershenson, Carlos1 aBedau, M.1 aHusbands, P.1 aHutton, T.1 aKumar, S.1 aSuzuki, H. uhttp://arxiv.org/abs/nlin.AO/040800601236nas a2200169 4500008004100000245008500041210006900126260001500195520069200210100002200902700001800924700001900942700001600961700002100977700002600998856004201024 2001 eng d00aIntegration of Computational Techniques for the Modelling of Signal Transduction0 aIntegration of Computational Techniques for the Modelling of Sig bWSES Press3 aA cell can be seen as an adaptive autonomous agent or as a society of adaptive autonomous agents, where each can exhibit a particular behaviour depending on its cognitive capabilities. We present an intracellular signalling model obtained by integrating several computational techniques into an agent-based paradigm. Cellulat, the model, takes into account two essential aspects of the intracellular signalling networks: cognitive capacities and a spatial organization. Exemplifying the functionality of the system by modelling the EGFR signalling pathway, we discuss the methodology as well as the purposes of an intracellular signalling virtual laboratory, presently under development.1 aGonzález, P., P.1 aCárdenas, M.1 aGershenson, C.1 aLagunez, J.1 aMastorakis, N.E.1 aPecorelli-Peres, L.A. uhttp://uk.arxiv.org/abs/cs.MA/0211030