@unpublished {CxExplicada2019,
	title = {Complejidad Explicada},
	year = {2019},
	note = {Traducci{\'o}n de {\textquoteleft}{\textquoteleft}Complexity Explained{\textquoteright}{\textquoteright}},
	url = {https://complexityexplained.github.io},
	author = {Valerie C. Valerio Holgu{\'\i}n and Carlos Gershenson and Jos{\'e} Luis Herrera and Johann H. Mart{\'\i}nez and Manuel Rueda Santos and Oliver L{\'o}pez Corona and Guillermo de Anda J{\'a}uregui and Gerardo I{\~n}iguez and Alfredo J. Morales Guzm{\'a}n and Jos{\'e} R. Nicol{\'a}s Carlock}
}
@unpublished {ComplexityExplained,
	title = {Complexity Explained: A Grassroot Collaborative Initiative to Create a Set of Essential Concepts of Complex Systems.},
	year = {2019},
	note = {https://complexityexplained.github.io},
	abstract = {Complexity science, also called complex systems science, studies how a large collection of components {\textendash} locally interacting with each other at small scales {\textendash} can spontaneously self-organize to exhibit non-trivial global structures and behaviors at larger scales, often without external intervention, central authorities or leaders. The properties of the collection may not be understood or predicted from the full knowledge of its constituents alone. Such a collection is called a complex system and it requires new mathematical frameworks and scientific methodologies for its investigation.},
	doi = {10.17605/OSF.IO/TQGNW},
	url = {https://complexityexplained.github.io},
	author = {Manlio De Domenico and Chico Camargo and Carlos Gershenson and Daniel Goldsmith and Sabine Jeschonnek and Lorren Kay and Stefano Nichele and Jos{\'e} Nicol{\'a}s and Thomas Schmickl and Massimo Stella and Josh Brandoff and {\'A}ngel Jos{\'e} Mart{\'\i}nez Salinas and Hiroki Sayama}
}
@article {10.1371/journal.pcbi.1007517,
	title = {Efficient sentinel surveillance strategies for preventing epidemics on networks},
	journal = {PLOS Computational Biology},
	volume = {15},
	number = {11},
	year = {2019},
	month = {11},
	pages = {1-19},
	publisher = {Public Library of Science},
	abstract = {Author summary In a network of individuals susceptible to some infectious disease, what are the best locations to monitor in order to detect the infection before most damage can be done? In this paper we address this question by considering various heuristic strategies for sentinel placement that can potentially be implemented in real-world situations without requiring excessive amounts of computation, or even having perfect data about the structure of the network. We find that strategies that attempt to distribute sentinels over different regions of the network perform best in highly modular or spatially embedded networks, whereas the strategy of targeting the most well connected individuals works best when there is a considerable amount of contact heterogeneity between individuals. Our results may be used as a guideline to help decide when certain strategies should, or should not, be implemented.},
	doi = {10.1371/journal.pcbi.1007517},
	url = {https://doi.org/10.1371/journal.pcbi.1007517},
	author = {Colman, Ewan and Holme, Petter and Sayama, Hiroki and Gershenson, Carlos}
}
@article {Cocho2019,
	title = {Rank-frequency distribution of natural languages: A difference of probabilities approach},
	journal = {Physica A: Statistical Mechanics and its Applications},
	volume = {532},
	year = {2019},
	pages = {121795},
	abstract = {In this paper we investigate the time variation of the rank k of words for six Indo-European languages using the Google Books N-gram Dataset. Based on numerical evidence, we regard k as a random variable whose dynamics may be described by a Fokker{\textendash}Planck equation which we solve analytically. For low ranks the distinct languages behave differently, maybe due to the syntax rules, whereas for k>50 the law of large numbers predominates. We analyze the frequency distribution of words using the data and their adjustment in terms of time-dependent probability density distributions. We find small differences between the data and the fits due to conflicting dynamic mechanisms, but the data show a consistent behavior with our general approach. For the lower ranks the behavior of the data changes among languages presumably, again, due to distinct dynamic mechanisms. We discuss a possible origin of these differences and assess the novel features and limitations of our work.},
	keywords = {Fokker{\textendash}Planck equation, Languages, Master equation, Rank dynamics},
	issn = {0378-4371},
	doi = {10.1016/j.physa.2019.121795},
	url = {https://doi.org/10.1016/j.physa.2019.121795},
	author = {Germinal Cocho and Rosal{\'\i}o F. Rodr{\'\i}guez and Sergio S{\'a}nchez and Jorge Flores and Carlos Pineda and Carlos Gershenson}
}
@article {Pina-Garcia2018,
	title = {From neuroscience to computer science: a topical approach on Twitter},
	journal = {Journal of Computational Social Science},
	volume = {1},
	number = {1},
	year = {2018},
	pages = {187{\textendash}208},
	abstract = {Twitter is perhaps the most influential microblogging service, with 271 million regular users producing approximately 500 million tweets per day. Previous studies of tweets discussing scientific topics are limited to local surveys or may not be representative geographically. This indicates a need to harvest and analyse tweets with the aim of understanding the level of dissemination of science related topics worldwide. In this study, we use Twitter as case of study and explore the hypothesis of science popularization via the social stream. We present and discuss tweets related to popular science around the world using eleven keywords. We analyze a sample of 306,163 tweets posted by 91,557 users with the aim of identifying tweets and those categories formed around temporally similar topics. We systematically examined the data to track and analyze the online activity around users tweeting about popular science. In addition, we identify locations of high Twitter activity that occur in several places around the world. We also examine which sources (mobile devices, apps, and other social networks) are used to share popular science related links. Furthermore, this study provides insights into the geographic density of popular science tweets worldwide. We show that emergent topics related to popular science are important because they could help to explore how science becomes of public interest. The study also offers some important insights for studying the type of scientific content that users are more likely to tweet.},
	isbn = {2432-2725},
	doi = {10.1007/s42001-017-0002-9},
	url = {https://doi.org/10.1007/s42001-017-0002-9},
	author = {Pi{\~n}a-Garc{\'\i}a, C. A. and Siqueiros-Garc{\'\i}a, J. Mario and Robles-Belmont, E. and Carre{\'o}n, Gustavo and Gershenson, Carlos and L{\'o}pez, Julio Amador D{\'\i}az}
}
@article {10.3389/fphy.2018.00045,
	title = {Rank Dynamics of Word Usage at Multiple Scales},
	journal = {Frontiers in Physics},
	volume = {6},
	year = {2018},
	pages = {45},
	abstract = {The recent dramatic increase in online data availability has allowed researchers to explore human culture with unprecedented detail, such as the growth and diversification of language. In particular, it provides statistical tools to explore whether word use is similar across languages, and if so, whether these generic features appear at different scales of language structure. Here we use the Google Books $N$-grams dataset to analyze the temporal evolution of word usage in several languages. We apply measures proposed recently to study rank dynamics, such as the diversity of $N$-grams in a given rank, the probability that an $N$-gram changes rank between successive time intervals, the rank entropy, and the rank complexity. Using different methods, results show that there are generic properties for different languages at different scales, such as a core of words necessary to minimally understand a language. We also propose a null model to explore the relevance of linguistic structure across multiple scales, concluding that $N$-gram statistics cannot be reduced to word statistics. We expect our results to be useful in improving text prediction algorithms, as well as in shedding light on the large-scale features of language use, beyond linguistic and cultural differences across human populations.},
	issn = {2296-424X},
	doi = {10.3389/fphy.2018.00045},
	url = {https://www.frontiersin.org/article/10.3389/fphy.2018.00045},
	author = {Morales, Jos{\'e} A. and Colman, Ewan and S{\'a}nchez, Sergio and S{\'a}nchez-Puig, Fernanda and Pineda, Carlos and I{\~n}iguez, Gerardo and Cocho, Germinal and Flores, Jorge and Gershenson, Carlos}
}
@article {Sanchez2018,
	title = {Trajectory Stability in the Traveling Salesman Problem},
	journal = {Complexity},
	volume = {2018},
	year = {2018},
	pages = {2826082},
	type = {10.1155/2018/2826082},
	abstract = {Two generalizations of the traveling salesman problem in which sites change their position in time are presented. The way the rank of different trajectory lengths changes in time is studied using the rank diversity. We analyze the statistical properties of rank distributions and rank dynamics and give evidence that the shortest and longest trajectories are more predictable and robust to change, that is, more stable.},
	url = {https://doi.org/10.1155/2018/2826082},
	author = {S{\'a}nchez, Sergio and Cocho, Germinal and Flores, Jorge and Gershenson, Carlos and I{\~n}iguez, Gerardo and Pineda, Carlos}
}
@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 {Morales2016,
	title = {Generic temporal features of performance rankings in sports and games},
	journal = {EPJ Data Science},
	volume = {5},
	number = {1},
	year = {2016},
	pages = {33},
	abstract = {Many complex phenomena, from trait selection in biological systems to hierarchy formation in social and economic entities, show signs of competition and heterogeneous performance in the temporal evolution of their components, which may eventually lead to stratified structures such as the worldwide wealth distribution. However, it is still unclear whether the road to hierarchical complexity is determined by the particularities of each phenomena, or if there are generic mechanisms of stratification common to many systems. Human sports and games, with their (varied but simple) rules of competition and measures of performance, serve as an ideal test-bed to look for universal features of hierarchy formation. With this goal in mind, we analyse here the behaviour of performance rankings over time of players and teams for several sports and games, and find statistical regularities in the dynamics of ranks. Specifically the rank diversity, a measure of the number of elements occupying a given rank over a length of time, has the same functional form in sports and games as in languages, another system where competition is determined by the use or disuse of grammatical structures. We use a Gaussian random walk model to reproduce the rank diversity of the studied sports and games. We also discuss the relation between rank diversity and the cumulative rank distribution. Our results support the notion that hierarchical phenomena may be driven by the same underlying mechanisms of rank formation, regardless of the nature of their components. Moreover, such regularities can in principle be used to predict lifetimes of rank occupancy, thus increasing our ability to forecast stratification in the presence of competition.},
	issn = {2193-1127},
	doi = {10.1140/epjds/s13688-016-0096-y},
	url = {http://dx.doi.org/10.1140/epjds/s13688-016-0096-y},
	author = {Morales, Jos{\'e} A. and S{\'a}nchez, Sergio and Flores, Jorge and Pineda, Carlos and Gershenson, Carlos and Cocho, Germinal and Zizumbo, Jer{\'o}nimo and Rodr{\'\i}guez, Rosal{\'\i}o F. and I{\~n}iguez, Gerardo}
}
@article {Cortes2016,
	title = {Traffic Games: Modeling Freeway Traffic with Game Theory},
	journal = {PLOS ONE},
	volume = {11},
	number = {11},
	year = {2016},
	month = {11},
	pages = {1-34},
	publisher = {Public Library of Science},
	abstract = {We apply game theory to a vehicular traffic model to study the effect of driver strategies on traffic flow. The resulting model inherits the realistic dynamics achieved by a two-lane traffic model and aims to incorporate phenomena caused by driver-driver interactions. To achieve this goal, a game-theoretic description of driver interaction was developed. This game-theoretic formalization allows one to model different lane-changing behaviors and to keep track of mobility performance. We simulate the evolution of cooperation, traffic flow, and mobility performance for different modeled behaviors. The analysis of these results indicates a mobility optimization process achieved by drivers{\textquoteright} interactions.},
	doi = {10.1371/journal.pone.0165381},
	url = {http://dx.doi.org/10.1371\%2Fjournal.pone.0165381},
	author = {Cort{\'e}s-Berrueco, Luis E. and Gershenson, Carlos and Stephens, Christopher R.}
}
@inbook {Gershenson2015CxMed,
	title = {Complejidad y medicina: perspectivas para el siglo XXI},
	booktitle = {Desaf{\'\i}os para la Salud P{\'u}blica},
	series = {Hacia d{\'o}nde va la Ciencia en M{\'e}xico},
	year = {2015},
	pages = {101{\textendash}111},
	publisher = {CONACYT, AMC, CCC},
	organization = {CONACYT, AMC, CCC},
	url = {http://www.ccciencias.mx/libroshdvcm/14.pdf},
	author = {Carlos Gershenson},
	editor = {Mario C{\'e}sar Salinas Carmona}
}
@inbook {152,
	title = {Hacia un sistema de salud autoorganizante y emergente},
	booktitle = {Estado del Arte de la Medicina 2013-2014: Las ciencias de la complejidad y la innovaci{\'o}n m{\'e}dica: Aplicaciones},
	year = {2015},
	pages = {245{\textendash}254},
	publisher = {Academia Nacional de Medicina},
	organization = {Academia Nacional de Medicina},
	address = {Mexico},
	author = {Carlos Gershenson},
	editor = {Enrique Ruelas Barajas and Ricardo Mansilla Corona}
}
@inbook {156,
	title = {Modelling Complexity for Policy: Opportunities and Challenges},
	booktitle = {Handobook on Complexity and Public Policy},
	year = {2015},
	pages = {205-220},
	publisher = {Edward Elgar},
	organization = {Edward Elgar},
	chapter = {13},
	author = {Bruce Edmonds and Carlos Gershenson},
	editor = {Robert Geyer and Paul Cairney}
}
@article {10.1371/journal.pone.0121898,
	title = {Rank Diversity of Languages: Generic Behavior in Computational Linguistics},
	journal = {PLoS ONE},
	volume = {10},
	number = {4},
	year = {2015},
	month = {04},
	pages = {e0121898},
	publisher = {Public Library of Science},
	abstract = {<p>Statistical studies of languages have focused on the rank-frequency distribution of words. Instead, we introduce here a measure of how word ranks change in time and call this distribution rank diversity. We calculate this diversity for books published in six European languages since 1800, and find that it follows a universal lognormal distribution. Based on the mean and standard deviation associated with the lognormal distribution, we define three different word regimes of languages: {\textquotedblleft}heads{\textquotedblright} consist of words which almost do not change their rank in time, {\textquotedblleft}bodies{\textquotedblright} are words of general use, while {\textquotedblleft}tails{\textquotedblright} are comprised by context-specific words and vary their rank considerably in time. The heads and bodies reflect the size of language cores identified by linguists for basic communication. We propose a Gaussian random walk model which reproduces the rank variation of words in time and thus the diversity. Rank diversity of words can be understood as the result of random variations in rank, where the size of the variation depends on the rank itself. We find that the core size is similar for all languages studied.</p>
},
	doi = {10.1371/journal.pone.0121898},
	url = {http://dx.doi.org/10.1371\%2Fjournal.pone.0121898},
	author = {Cocho, Germinal and Flores, Jorge and Gershenson, Carlos and Pineda, Carlos and S{\'a}nchez, Sergio}
}
@inbook {Fernandez_Gershenson_2014,
	title = {Measuring Complexity in an Aquatic Ecosystem},
	booktitle = {Advances in Computational Biology},
	series = {Advances in Intelligent Systems and Computing},
	volume = {232},
	year = {2014},
	pages = {83-89},
	publisher = {Springer},
	organization = {Springer},
	abstract = {We apply formal measures of emergence, self-organization, homeostasis, autopoiesis and complexity to an aquatic ecosystem; in particular to the physiochemical component of an Arctic lake. These measures are based on information theory. Variables with an homogeneous distribution have higher values of emergence, while variables with a more heterogeneous distribution have a higher self-organization. Variables with a high complexity reflect a balance between change (emergence) and regularity/order (self-organization). In addition, homeostasis values coincide with the variation of the winter and summer seasons. Autopoiesis values show a higher degree of independence of biological components over their environment. Our approach shows how the ecological dynamics can be described in terms of information.},
	doi = {10.1007/978-3-319-01568-2_12},
	url = {http://arxiv.org/abs/1305.5413},
	author = {Fern{\'a}ndez, Nelson and Gershenson, Carlos},
	editor = {Castillo, Luis F. and Cristancho, Marco and Isaza, Gustavo and Pinz{\'o}n, Andr{\'e}s and Corchado Rodr{\'\i}guez, Juan Manuel}
}
@article {Zubillaga2014Measuring-the-C,
	title = {Measuring the Complexity of Self-organizing Traffic Lights},
	journal = {Entropy},
	volume = {16},
	number = {5},
	year = {2014},
	pages = {2384{\textendash}2407},
	abstract = {We apply measures of complexity, emergence, and self-organization to an urban traffic model for comparing a traditional traffic-light coordination method with a self-organizing method in two scenarios: cyclic boundaries and non-orientable boundaries. We show that the measures are useful to identify and characterize different dynamical phases. It becomes clear that different operation regimes are required for different traffic demands. Thus, not only is traffic a non-stationary problem, requiring controllers to adapt constantly; controllers must also change drastically the complexity of their behavior depending on the demand. Based on our measures and extending Ashby{\textquoteright}s law of requisite variety, we can say that the self-organizing method achieves an adaptability level comparable to that of a living system.},
	doi = {10.3390/e16052384},
	url = {http://dx.doi.org/10.3390/e16052384},
	author = {Dar{\'\i}o Zubillaga and Geovany Cruz and Luis Daniel Aguilar and Jorge Zapot{\'e}catl and Nelson Fern{\'a}ndez and Jos{\'e} Aguilar and David A. Rosenblueth and Carlos Gershenson}
}
@article {Gershenson2013The-Past-Presen,
	title = {The Past, Present and Future of Cybernetics and Systems Research},
	journal = {systema: connecting matter, life, culture and technology},
	volume = {1},
	number = {3},
	year = {2014},
	pages = {4{\textendash}13},
	abstract = {Cybernetics 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.},
	url = {http://arxiv.org/abs/1308.6317},
	author = {Carlos Gershenson and Peter Csermely and Peter Erdi and Helena Knyazeva and Alexander Laszlo}
}
@inbook {CortesIWSOS2013,
	title = {Self-organization Promotes the Evolution of Cooperation with Cultural Propagation},
	booktitle = {Self-Organizing Systems},
	series = {Lecture Notes in Computer Science},
	volume = {8221},
	year = {2014},
	pages = {145-150},
	publisher = {Springer},
	organization = {Springer},
	address = {Berlin Heidelberg},
	abstract = {In this paper three computational models for the study of the evolution of cooperation under cultural propagation are studied: Kin Selection, Direct Reciprocity and Indirect Reciprocity. Two analyzes are reported, one comparing their behavior between them and a second one identifying the impact that different parameters have in the model dynamics. The results of these analyzes illustrate how game transitions may occur depending of some parameters within the models and also explain how agents adapt to these transitions by individually choosing their attachment to a cooperative attitude. These parameters regulate how cooperation can self-organize under different circumstances. The emergence of the evolution of cooperation as a result of the agent{\textquoteright}s adapting processes is also discussed.},
	isbn = {978-3-642-54139-1},
	doi = {10.1007/978-3-642-54140-7_13},
	url = {http://dx.doi.org/10.1007/978-3-642-54140-7_13},
	author = {Cort{\'e}s-Berrueco, LuisEnrique and Gershenson, Carlos and Stephens, ChristopherR.},
	editor = {Elmenreich, Wilfried and Dressler, Falko and Loreto, Vittorio}
}
@inbook {Edmonds:2012,
	title = {Learning, Social Intelligence and the {Turing} Test - why an {\textquoteleft}{\textquoteleft}out-of-the-box" {Turing} Machine will not pass the {Turing} Test.},
	booktitle = {How the world computes : Turing Centenary Conference and 8th Conference on Computability in Europe, CiE 2012, Cambridge, UK, June 18-23, 2012. Proceedings},
	series = {Lecture Notes in Computer Science},
	volume = {7318/2012},
	year = {2012},
	pages = {182{\textendash}192},
	publisher = {Springer-Verlag},
	organization = {Springer-Verlag},
	address = {Berlin Heidelberg},
	abstract = {The Turing Test (TT) checks for human intelligence, rather than any putative general intelligence. It involves repeated interaction requiring learning in the form of adaption to the human conversation partner. It is a macro-level post-hoc test in contrast to the definition of a Turing Machine (TM), which is a prior micro-level definition. This raises the question of whether learning is just another computational process, i.e. can be implemented as a TM. Here we argue that learning or adaption is fundamentally different from computation, though it does involve processes that can be seen as computations. To illustrate this difference we compare (a) designing a TM and (b) learning a TM, defining them for the purpose of the argument. We show that there is a well-defined sequence of problems which are not effectively designable but are learnable, in the form of the bounded halting problem. Some characteristics of human intelligence are reviewed including it{\textquoteright}s: interactive nature, learning abilities, imitative tendencies, linguistic ability and context-dependency. A story that explains some of these is the Social Intelligence Hypothesis. If this is broadly correct, this points to the necessity of a considerable period of acculturation (social learning in context) if an artificial intelligence is to pass the TT. Whilst it is always possible to {\textquoteright}compile{\textquoteright} the results of learning into a TM, this would not be a designed TM and would not be able to continually adapt (pass future TTs). We conclude three things, namely that: a purely "designed" TM will never pass the TT; that there is no such thing as a general intelligence since it necessary involves learning; and that learning/adaption and computation should be clearly distinguished.},
	doi = {10.1007/978-3-642-30870-3_18},
	url = {http://arxiv.org/abs/1203.3376},
	author = {Bruce Edmonds and Carlos Gershenson},
	editor = {S. Barry Cooper and Anuj Dawar and Benedikt L{\"o}we}
}
@inbook {HeylighenEtAl2007,
	title = {Complexity and Philosophy},
	booktitle = {Complexity, Science and Society},
	year = {2007},
	pages = {117-134},
	publisher = {Radcliffe Publishing},
	organization = {Radcliffe Publishing},
	address = {Oxford},
	url = {http://arxiv.org/abs/cs.CC/0604072},
	author = {Francis Heylighen and Paul Cilliers and Carlos Gershenson},
	editor = {Jan Bogg and Robert Geyer}
}
@inbook {CoolsEtAl2007,
	title = {Self-organizing traffic lights: A realistic simulation},
	booktitle = {Self-Organization: Applied Multi-Agent Systems},
	year = {2007},
	pages = {41{\textendash}49},
	publisher = {Springer},
	organization = {Springer},
	chapter = {3},
	abstract = {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.},
	doi = {10.1007/978-1-84628-982-8_3},
	url = {http://arxiv.org/abs/nlin.AO/0610040},
	author = {Seung Bae Cools and Carlos Gershenson and Bart {D{\textquoteright}Hooghe}},
	editor = {Mikhail Prokopenko}
}
@conference {GershensonEtAl2003a,
	title = {Contextual Random {Boolean} Networks},
	booktitle = {Advances in Artificial Life, 7th European Conference, {ECAL} 2003 {LNAI} 2801},
	year = {2003},
	pages = {615{\textendash}624},
	publisher = {Springer-Verlag},
	organization = {Springer-Verlag},
	abstract = {We propose the use of Deterministic Generalized Asynchronous Random Boolean Networks (Gershenson, 2002) as models of contextual deterministic discrete dynamical systems. We show that changes in the context have drastic effects on the global properties of the same networks, namely the average number of attractors and the average percentage of states in attractors. We introduce the situation where we lack knowledge on the context as a more realistic model for contextual dynamical systems. We notice that this makes the network non-deterministic in a specific way, namely introducing a non-Kolmogorovian quantum-like structure for the modelling of the network (Aerts 1986). In this case, for example, a state of the network has the potentiality (probability) of collapsing into different attractors, depending on the specific form of lack of knowledge on the context.},
	url = {http://uk.arxiv.org/abs/nlin.AO/0303021},
	author = {Carlos Gershenson and Jan Broekaert and Diederik Aerts},
	editor = {Banzhaf, W and T. Christaller and P. Dittrich and J. T. Kim and J. Ziegler}
}
@conference {GershensonHeylighen2003a,
	title = {When Can We Call a System Self-Organizing?},
	booktitle = {Advances in Artificial Life, 7th European Conference, {ECAL} 2003 {LNAI} 2801},
	year = {2003},
	pages = {606{\textendash}614},
	publisher = {Springer},
	organization = {Springer},
	address = {Berlin},
	abstract = {We do not attempt to provide yet another definition of self-organizing systems, nor review previous definitions. We explore the conditions necessary to describe self-organizing systems, inspired on decades of their study, in order to understand them better. These involve the dynamics of the system, and the purpose, boundaries, and description level chosen by an observer. We show how, changing the level or {\textquoteleft}{\textquoteleft}graining{\textquoteright}{\textquoteright} of description, the same system can be self-organizing or not. We also discuss common problems we face when studying self-organizing systems. We analyse when building, designing, and controlling artificial self-organizing systems is useful. We state that self-organization is a way of observing systems, not a class of systems.},
	url = {http://arxiv.org/abs/nlin.AO/0303020},
	author = {Carlos Gershenson and Francis Heylighen},
	editor = {Banzhaf, W and T. Christaller and P. Dittrich and J. T. Kim and J. Ziegler}
}
@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}
}
@conference {GershensonEtAl2000a,
	title = {Action Selection Properties in a Software Simulated Agent},
	booktitle = {{MICAI} 2000: Advances in Artificial Intelligence},
	series = {Lecture Notes in Artificial Intelligence},
	volume = {1793},
	year = {2000},
	pages = {634{\textendash}648},
	publisher = {Springer, Verlag},
	organization = {Springer, Verlag},
	address = {Acapulco, M{\'e}xico},
	abstract = {This article analyses the properties of the Internal Behaviour network, an action selection mechanism previously proposed by the authors, with the aid of a simulation developed for such ends. A brief review of the Internal Behaviour network is followed by the explanation of the implementation of the simulation. Then, experiments are presented and discussed analysing the properties of the action selection in the proposed model.},
	url = {http://uk.arxiv.org/abs/cs.AI/0211039},
	author = {C. Gershenson and P. P. Gonz{\'a}lez and J. Negrete},
	editor = {{O. Cair{\'o} and L. E. S{\'u}car, F.J. Cant{\'u}}
}
@conference {GonzalezEtAl2000a,
	title = {A Model for Combination of External and Internal Stimuli in the Action Selection of an Autonomous Agent},
	booktitle = {{MICAI} 2000: Advances in Artificial Intelligence},
	series = {Lecture Notes in Artificial Intelligence},
	volume = {1793},
	year = {2000},
	pages = {621{\textendash}633},
	publisher = {Springer, Verlag},
	organization = {Springer, Verlag},
	address = {Acapulco, M{\'e}xico},
	abstract = {This paper proposes a model for combination of external and internal stimuli for the action selection in an autonomous agent, based in an action selection mechanism previously proposed by the authors. This combination model includes additive and multiplicative elements, which allows to incorporate new properties, which enhance the action selection. A given parameter a, which is part of the proposed model, allows to regulate the degree of dependence of the observed external behaviour from the internal states of the entity.},
	url = {http://uk.arxiv.org/abs/cs.AI/0211040},
	author = {P. P. Gonz{\'a}lez and J. Negrete and A. Barreiro and C. Gershenson.},
	editor = {{O. Cair{\'o} and L. E. S{\'u}car, F.J. Cant{\'u}}
}
@conference {GonzalezEtAl2000b,
	title = {Modelling Intracellular Signalling Networks Using Behaviour-Based Systems and the Blackboard Architecture},
	booktitle = {Proceedings of the International Conference: Mathematics and Computers in Biology and Chemistry {(MCBC} 2000)},
	year = {2000},
	address = {Montego Bay, Jamaica},
	abstract = {This paper proposes to model the intracellular signalling networks using a fusion of behaviour-based systems and the blackboard architecture. In virtue of this fusion, the model developed by us, which has been named Cellulat, allows to take account two essential aspects of the intracellular signalling networks: (1) the cognitive capabilities of certain types of networks{\textquoteright} components and (2) the high level of spatial organization of these networks. A simple example of modelling of Ca2+ signalling pathways using Cellulat is presented here. An intracellular signalling virtual laboratory is being developed from Cellulat.},
	url = {http://uk.arxiv.org/abs/cs.MA/0211029},
	author = {P. P. Gonz{\'a}lez and C. Gershenson and M. C{\'a}rdenas and J. Lagunez}
}
