00440nas a2200121   4500008004100000245006700041210006700108300001400175100002600189700003200215700002300247856004800270       2016                        eng d00aPerformance Metrics of Collective Coordinated Motion in Flocks0 aPerformance Metrics of Collective Coordinated Motion in Flocks  a322–3291 aZapotecatl, Jorge, L.1 aMuñoz-Meléndez, Angélica1 aGershenson, Carlos  uhttp://turing.iimas.unam.mx/sos/?q=node/17101157nam a2200181   4500008004100000020001800041245005500059210005500114260004000169520055800209100002300767700001600790700002500806700001900831700002700850700001900877856007900896       2016                        eng d  a978026233936000aProceedings of the Artificial Life Conference 20160 aProceedings of the Artificial Life Conference 2016  aCambridge, MA, USAbMIT PresscJuly3 aThe ALife conferences are the major meeting of the artificial life research community since 1987. For its 15th edition in 2016, it was held in Latin America for the first time, in the Mayan Riviera, Mexico, from July 4 -8. The special them of the conference: How can the synthetic study of living systems contribute to societies: scientifically, technically, and culturally? The goal of the conference theme is to better understand societies with the purpose of using this understanding for a more efficient management and development of social systems.1 aGershenson, Carlos1 aFroese, Tom1 aSiqueiros, Jesus, M.1 aAguilar, Wendy1 aIzquierdo, Eduardo, J.1 aSayama, Hiroki  uhttps://mitpress.mit.edu/books/proceedings-artificial-life-conference-201601082nas a2200169   4500008004100000245006900041210006400110300001100174490000600185520058400191100002300775700002000798700001600818700002100834700002200855856003500877       2014                        eng d00aThe Past, Present and Future of Cybernetics and Systems Research0 aPast Present and Future of Cybernetics and Systems Research  a4–130 v13 aCybernetics and Systems Research (CSR) were developed in the mid-twentieth century, offering the possibility of describing and comparing different phenomena using the same language. The concepts which originated in CSR have spread to practically all disciplines, many now used within the scientific study of complex systems. CSR has the potential to contribute to the solution of relevant problems, but the path towards this goal is not straightforward. This paper summarizes the ideas presented by the authors during a round table in 2012 on the past, present and future of CSR.1 aGershenson, Carlos1 aCsermely, Peter1 aErdi, Peter1 aKnyazeva, Helena1 aLaszlo, Alexander  uhttp://arxiv.org/abs/1308.631700396nas a2200121   4500008004100000245007300041210007000114300001000184490000700194100002300201700001900224856003100243       2013                        eng d00aPreviniendo enfermedades crónico-degenerativas con vacunas sociales0 aPreviniendo enfermedades crónicodegenerativas con vacunas social  a83-840 v811 aGershenson, Carlos1 aWisdom, Thomas  uhttp://tinyurl.com/cdswlx501537nas a2200181   4500008004100000245008900041210006900130260003200199300001200231490000600243520096500249100002301214700002301237700001501260700001501275700002401290856004101314       2011                        eng d00aProtocol Requirements for Self-Organizing Artifacts: Towards an Ambient Intelligence0 aProtocol Requirements for SelfOrganizing Artifacts Towards an Am  aBerlin HeidelbergbSpringer  a136-1430 vV3 aWe discuss which properties common-use artifacts should have to collaborate without human intervention. We conceive how devices, such as mobile phones, PDAs, and home appliances, could be seamlessly integrated to provide an "ambient intelligence" that responds to the users desires without requiring explicit programming or commands. While the hardware and software technology to build such systems already exists, yet there is no protocol to direct and give meaning to their interactions. We propose the first steps in the development of such a protocol, which would need to be adaptive, extensible, and open to the community, while promoting self-organization. We argue that devices, interacting through "game-like" moves, can learn to agree about how to communicate, with whom to cooperate, and how to delegate and coordinate specialized tasks. Like this, they may evolve distributed cognition or collective intelligence able to tackle any complex of tasks.1 aGershenson, Carlos1 aHeylighen, Francis1 aMinai, Ali1 aBraha, Dan1 aBar-Yam}, Yaneer, {  uhttp://arxiv.org/abs/nlin.AO/040400401387nam a2200133   4500008004100000245003000041210003000071260003200101520100900133100002301142700002001165700001901185856004901204       2007                        eng d00aPhilosophy and Complexity0 aPhilosophy and Complexity  aSingaporebWorld Scientific3 aScientific, technological, and cultural changes have always had an impact upon philosophy. They can force a change in the way we perceive the world, reveal new kinds of phenomena to be understood, and provide new ways of understanding phenomena. Complexity science, immersed in a culture of information, is having a diverse but particularly significant impact upon philosophy. Previous ideas do not necessarily sit comfortably with the new paradigm, resulting in new ideas or new interpretations of old ideas. In this unprecedented interdisciplinary volume, researchers from different backgrounds join efforts to update thinking upon philosophical questions with developments in the scientific study of complex systems. The contributions focus on a wide range of topics, but share the common goal of increasing our understanding and improving our descriptions of our complex world. This revolutionary debate includes contributions from leading experts, as well as young researchers proposing fresh ideas.1 aGershenson, Carlos1 aAerts, Diederik1 aEdmonds, Bruce  uhttp://www.worldscibooks.com/chaos/6372.html01088nas a2200097   4500008004100000245008300041210006900124520073000193100002300923856004400946       2004                        eng d00aPhase Transitions in Random {Boolean} Networks with Different Updating Schemes0 aPhase Transitions in Random Boolean Networks with Different Upda3 aIn this paper we study the phase transitions of different types of Random Boolean networks. These differ in their updating scheme: synchronous, semi-synchronous, or asynchronous, and deterministic or non-deterministic. It has been shown that the statistical properties of Random Boolean networks change considerable according to the updating scheme. We study with computer simulations sensitivity to initial conditions as a measure of order/chaos. We find that independently of their updating scheme, all network types have very similar phase transitions, namely when the average number of connections of nodes is between one and three. This critical value depends more on the size of the network than on the updating scheme.1 aGershenson, Carlos  uhttp://uk.arxiv.org/abs/nlin.AO/031100801641nas a2200109   4500008004100000245006200041210006200103490000600165520129200171100002301463856004501486       2002                        eng d00aPhilosophical Ideas on the Simulation of Social Behaviour0 aPhilosophical Ideas on the Simulation of Social Behaviour0 v53 aIn this study we consider some of the philosophical issues that should be taken into account when simulating social behaviour. Even though the ideas presented here are philosophical, they should be of interest more to researchers simulating social behaviour than to philosophers, since we try to note some problems that researchers might not put much attention to. We give notions of what could be considered a social behaviour, and mention the problems that arise if we attempt to give a sharp definition of social behaviour in a broad context. We also briefly give useful concepts and ideas of complex systems and abstraction levels (Gershenson, 2002a), since any society can be seen as a complex system. We discuss the problems that arise while modelling social behaviour, mentioning the synthetic method as a useful approach for contrasting social theories, because of the complexities of the phenomena they model. In addition, we note the importance of the study of social behaviour for the understanding of cognition. We hope that the ideas presented here motivate the interest and debate of researchers simulating social behaviour in order to pay attention to the problems mentioned in this work, and attempt to provide more suitable solutions to them than the ones proposed here.1 aGershenson, Carlos  uhttp://jasss.soc.surrey.ac.uk/5/3/8.html