@unpublished {Gershenson2018,
	title = {Information in Science and Buddhist Philosophy: Towards a Non-Materialistic Worldview},
	year = {2018},
	note = {Preprints 2018120042},
	month = {November},
	abstract = {Information 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.},
	doi = {10.20944/preprints201812.0042.v1},
	author = {Carlos Gershenson}
}
@article {10.1371/journal.pone.0190100,
	title = {Improving public transportation systems with self-organization: A headway-based model and regulation of passenger alighting and boarding},
	journal = {PLOS ONE},
	volume = {12},
	number = {12},
	year = {2017},
	month = {12},
	pages = {1-20},
	publisher = {Public Library of Science},
	abstract = {The equal headway instability{\textemdash}the fact that a configuration with regular time intervals between vehicles tends to be volatile{\textemdash}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{\textquoteright}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{\textquoteright}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.},
	doi = {10.1371/journal.pone.0190100},
	url = {https://doi.org/10.1371/journal.pone.0190100},
	author = {Carre{\'o}n, Gustavo and Gershenson, Carlos and Pineda, Luis A.}
}
@article {Kolokoltsev2017,
	title = {Improving {\textquoteleft}{\textquoteleft}tail{\textquoteright}{\textquoteright} computations in a BOINC-based Desktop Grid},
	journal = {Open Engineering},
	volume = {7},
	number = {1},
	year = {2017},
	month = {December},
	pages = {371-378},
	doi = {doi:10.1515/eng-2017-0044},
	author = {Kolokoltsev, Yevgeniy and Evgeny Ivashko and Carlos Gershenson}
}
@inbook {Gershenson2016,
	title = {Improving Urban Mobility by Understanding Its Complexity},
	booktitle = {The Pursuit of Legible Policy: Encouraging Agency and Participation in the Complex Systems of the Contemporary Megalopolis},
	year = {2016},
	pages = {149{\textendash}151},
	publisher = {{Bur{\'o}{\textendash}Bur{\'o}},
	organization = {{Bur{\'o}{\textendash}Bur{\'o}},
	address = {Mexico City, Mexico},
	author = {Carlos Gershenson}
}
@inbook {ALifeXVIntro,
	title = {Introduction},
	booktitle = {Proceedings of the Artificial Life Conference 2016},
	year = {2016},
	pages = {3{\textendash}9},
	author = {Tom Froese and J. Mario Siqueiros and Wendy Aguilar and Eduardo J. Izquierdo and Hiroki Sayama and Carlos Gershenson}
}
@article {Gershenson2014Info-computatio,
	title = {Info-computationalism or Materialism? Neither and Both},
	journal = {Constructivist Foundations},
	volume = {9},
	number = {2},
	year = {2014},
	pages = {241{\textendash}242},
	abstract = {The 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.},
	url = {http://www.univie.ac.at/constructivism/journal/9/2/241.gershenson},
	author = {Carlos Gershenson}
}
@inbook {Fernandez2013Information-Mea,
	title = {Information Measures of Complexity, Emergence, Self-organization, Homeostasis, and Autopoiesis},
	booktitle = {Guided Self-Organization: Inception},
	year = {2014},
	note = {In Press},
	pages = {19-51},
	publisher = {Springer},
	organization = {Springer},
	abstract = {<p>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.</p>
},
	url = {http://arxiv.org/abs/1304.1842},
	author = {Nelson Fern{\'a}ndez and Carlos Maldonado and Carlos Gershenson},
	editor = {Mikhail Prokopenko}
}
@article {Gershenson:2011e,
	title = {The Implications of Interactions for Science and Philosophy},
	journal = {Foundations of Science},
	volume = {Early View},
	year = {2013},
	abstract = {Reductionism has dominated science and philosophy for centuries. Complexity has recently shown that interactions{\textendash}-which reductionism neglects{\textendash}-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.},
	doi = {10.1007/s10699-012-9305-8},
	url = {http://arxiv.org/abs/1105.2827},
	author = {Carlos Gershenson}
}
@conference {Gershenson2004c,
	title = {Introduction to Random {Boolean} Networks},
	booktitle = {Workshop and Tutorial Proceedings, Ninth International Conference on the Simulation and Synthesis of Living Systems {(ALife} {IX)}},
	year = {2004},
	pages = {160{\textendash}173},
	address = {Boston, MA},
	abstract = {The 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.},
	url = {http://arxiv.org/abs/nlin.AO/0408006},
	author = {Carlos Gershenson},
	editor = {M. Bedau and P. Husbands and T. Hutton and S. Kumar and H. Suzuki}
}
@conference {GonzalezEtAl2001,
	title = {Integration of Computational Techniques for the Modelling of Signal Transduction},
	booktitle = {Advances in Systems Science: Measurement, Circuits and Control},
	year = {2001},
	publisher = {WSES Press},
	organization = {WSES Press},
	abstract = {A 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.},
	url = {http://uk.arxiv.org/abs/cs.MA/0211030},
	author = {P. P. Gonz{\'a}lez and M. C{\'a}rdenas and C. Gershenson and J. Lagunez},
	editor = {N.E. Mastorakis and L.A. Pecorelli-Peres}
}
