@article {Mityagin2020,
	title = {Forecasting of Population Narcotization under the Implementation of a Drug Use Reduction Policy},
	journal = {Complexity},
	volume = {2020},
	number = {9135024},
	year = {2020},
	pages = {1{\textendash}14},
	abstract = {In this paper, we present an approach to drug addiction simulation and forecasting in the medium and long terms in cities having a high population density and a high rate of social communication. Drug addiction forecasting is one of the basic components of the antidrug policy, giving informational and analytic support both at the regional and at the governmental level. However, views on the drug consumption problem vary in different regions, and as a consequence, several approaches to antidrug policy implementation exist. Thereby, notwithstanding the fact that the phenomenology of the population narcotization process is similar in the different regions, approaches to the modeling of drug addiction may also substantially differ for different kinds of antidrug policies. This paper presents a survey of the available antidrug policies and the corresponding approaches to the simulation of population narcotization. This article considers the approach to the construction of the regression model of anesthesia on the main components formed on the basis of indicators of social and economic development. The substantiation of the chosen method is given, which is associated with a significant correlation of indicators, which characterizes the presence of a small number of superfactors. This allows us to form a conclusion about the general level of development of the region as the main factor determining the drug addiction. A new model is proposed for one of the most widespread antidrug policies, namely, the drug use reduction policy. The model helps determine the significant factors of population narcotization and allows to estimate its damage. The model is tested successfully using St. Petersburg data.},
	doi = {10.1155/2020/9135024},
	author = {Mityagin, Sergey and Gershenson, Carlos and Boukhanovsky, Alexander}
}
@unpublished {ComplexityExplained,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 {Karbovskii2016,
	title = {Multimodel agent-based simulation environment for mass-gatherings and pedestrian dynamics},
	journal = {Future Generation Computer Systems},
	volume = {79},
	number = {1},
	year = {2018},
	month = {February},
	pages = {155{\textendash}165},
	abstract = {Abstract The increasing interest in complex phenomena, especially in crowd and pedestrian dynamics, has conditioned the demand not only for more sophisticated autonomous models but also for mechanisms that would bring these models together. This paper presents a multimodel agent-based simulation technique based on the incorporation of multiple modules. Two key principles are presented to guide this integration: a common abstract space where entities of different models interact, and commonly controlled agents{\textendash}-abstract actors operating in the common space, which can be handled by different agent-based models. In order to test the proposed methodology, we run a set of simulations of cinema building evacuation using the general-purpose {PULSE} simulation environment. In this paper we utilize crowd pressure as a metric to estimate the capacity of different emergent conditions to traumatically affect pedestrians in the crowd. The proposed approach is evaluated through a series of experiments simulating the emergency evacuation from a cinema building to the city streets, where building and street levels are reproduced in heterogeneous models. This approach paves the way for modeling realistic city-wide evacuations.},
	issn = {0167-739X},
	doi = {10.1016/j.future.2016.10.002},
	url = {http://dx.doi.org/10.1016/j.future.2016.10.002},
	author = {Vladislav Karbovskii and Daniil Voloshin and Andrey Karsakov and Alexey Bezgodov and Carlos Gershenson}
}
@book {ICCS2018,
	title = {Unifying Themes in Complex Systems IX: Proceedings of the Ninth International Conference on Complex Systems},
	series = {Springer Proceedings in Complexity},
	year = {2018},
	publisher = {Springer},
	organization = {Springer},
	address = {Cambridge, MA, USA},
	url = {https://link.springer.com/book/10.1007/978-3-319-96661-8},
	editor = {Alfredo J. Morales and Carlos Gershenson and Dan Braha and Ali A. Minai and Yaneer Bar-Yam}
}
@unpublished {goel2017self,
	title = {Self-Organization in Traffic Lights: Evolution of Signal Control with Advances in Sensors and Communications},
	year = {2017},
	note = {arXiv:1708.07188},
	url = {https://arxiv.org/abs/1708.07188},
	author = {Goel, Sanjay and Bush, Stephen F and Gershenson, Carlos}
}
@article {Karbovskii2016,
	title = {Multimodel agent-based simulation environment for mass-gatherings and pedestrian dynamics},
	journal = {Future Generation Computer Systems},
	year = {2016},
	pages = {-},
	abstract = {Abstract The increasing interest in complex phenomena, especially in crowd and pedestrian dynamics, has conditioned the demand not only for more sophisticated autonomous models but also for mechanisms that would bring these models together. This paper presents a multimodel agent-based simulation technique based on the incorporation of multiple modules. Two key principles are presented to guide this integration: a common abstract space where entities of different models interact, and commonly controlled agents{\textendash}-abstract actors operating in the common space, which can be handled by different agent-based models. In order to test the proposed methodology, we run a set of simulations of cinema building evacuation using the general-purpose \{PULSE\} simulation environment. In this paper we utilize crowd pressure as a metric to estimate the capacity of different emergent conditions to traumatically affect pedestrians in the crowd. The proposed approach is evaluated through a series of experiments simulating the emergency evacuation from a cinema building to the city streets, where building and street levels are reproduced in heterogeneous models. This approach paves the way for modeling realistic city-wide evacuations.},
	keywords = {Urgent computing},
	issn = {0167-739X},
	doi = {10.1016/j.future.2016.10.002},
	url = {http://dx.doi.org/10.1016/j.future.2016.10.002},
	author = {Vladislav Karbovskii and Daniil Voloshin and Andrey Karsakov and Alexey Bezgodov and Carlos Gershenson}
}
@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}
}
@article {157,
	title = {Urban Transfer Entropy across Scales},
	journal = {PLoS ONE},
	volume = {10},
	year = {2015},
	month = {07},
	pages = {e0133780},
	abstract = {<p>The morphology of urban agglomeration is studied here in the context of information exchange between different spatio-temporal scales. Urban migration to and from cities is characterised as non-random and following non-random pathways. Cities are multidimensional non-linear phenomena, so understanding the relationships and connectivity between scales is important in determining how the interplay of local/regional urban policies may affect the distribution of urban settlements. In order to quantify these relationships, we follow an information theoretic approach using the concept of Transfer Entropy. Our analysis is based on a stochastic urban fractal model, which mimics urban growing settlements and migration waves. The results indicate how different policies could affect urban morphology in terms of the information generated across geographical scales.</p>},
	doi = {10.1371/journal.pone.0133780},
	url = {http://dx.doi.org/10.1371\%2Fjournal.pone.0133780},
	author = {Murcio, Roberto and Morphet, Robin and Gershenson, Carlos and Batty, Michael}
}
@inbook {153,
	title = {Dolor, placebos y complejidad},
	booktitle = {Actualidades en el manejo del dolor y cuidados paliativos},
	year = {2014},
	publisher = {Editorial Alfil},
	organization = {Editorial Alfil},
	chapter = {36},
	address = {Mexico},
	author = {Carlos Gershenson and Javier Rosado},
	editor = {Bistre-Coh{\'e}n, Sara}
}
@article {140,
	title = {The Past, Present, and Future of Artificial Life},
	journal = {Frontiers in Robotics and AI},
	volume = {1},
	year = {2014},
	abstract = {<p>For millennia people have wondered what makes the living different from the non-living. Beginning in the mid-1980s, artificial life has studied living systems using a synthetic approach: build life in order to understand it better, be it by means of software, hardware, or wetware. This review provides a summary of the advances that led to the development of artificial life, its current research topics, and open problems and opportunities. We classify artificial life research into fourteen themes: origins of life, autonomy, self-organization, adaptation (including evolution, development, and learning), ecology, artificial societies, behavior, computational biology, artificial chemistries, information, living technology, art, and philosophy. Being interdisciplinary, artificial life seems to be losing its boundaries and merging with other fields.</p>
},
	issn = {2296-9144},
	doi = {10.3389/frobt.2014.00008},
	url = {http://www.frontiersin.org/computational_intelligence/10.3389/frobt.2014.00008/abstract},
	author = {Aguilar, Wendy and Santamar{\'\i}a Bonfil, Guillermo and Froese, Tom and Gershenson, Carlos}
}
@inbook {Gershenson2013Facing-Complexi,
	title = {Facing Complexity: Prediction vs. Adaptation},
	booktitle = {Complexity Perspectives on Language, Communication and Society},
	year = {2013},
	pages = {3-14},
	publisher = {Springer},
	organization = {Springer},
	address = {Berlin Heidelberg},
	abstract = {One of the presuppositions of science since the times of Galileo, Newton, Laplace, and Descartes has been the predictability of the world. This idea has strongly influenced scientific and technological models. However, in recent decades, chaos and complexity have shown that not every phenomenon is predictable, even if it is deterministic. If a problem space is predictable, in theory we can find a solution via optimization. Nevertheless, if a problem space is not predictable, or it changes too fast, very probably optimization will offer obsolete solutions. This occurs often when the immediate solution affects the problem itself. An alternative is found in adaptation. An adaptive system will be able to find by itself new solutions for unforeseen situations.},
	isbn = {978-3-642-32816-9},
	doi = {10.1007/978-3-642-32817-6},
	url = {http://arxiv.org/abs/1112.3843},
	author = {Carlos Gershenson},
	editor = {Massip, A. and A. Bastardas}
}
@inbook {Gershenson:2007,
	title = {The World as Evolving Information},
	booktitle = {Unifying Themes in Complex Systems},
	volume = {VII},
	year = {2012},
	pages = {100-115},
	publisher = {Springer},
	organization = {Springer},
	address = {Berlin Heidelberg},
	abstract = {This paper discusses the benefits of describing the world as information, especially in the study of the evolution of life and cognition. Traditional studies encounter problems because it is difficult to describe life and cognition in terms of matter and energy, since their laws are valid only at the physical scale. However, if matter and energy, as well as life and cognition, are described in terms of information, evolution can be described consistently as information becoming more complex. The paper presents five tentative laws of information, valid at multiple scales, which are generalizations of Darwinian, cybernetic, thermodynamic, and complexity principles. These are further used to discuss the notions of life and cognition and their evolution.},
	doi = {10.1007/978-3-642-18003-3_10},
	url = {http://arxiv.org/abs/0704.0304},
	author = {Carlos Gershenson},
	editor = {Minai, Ali and Braha, Dan and Yaneer {Bar-Yam}}
}
@inbook {GershensonHeylighen2004,
	title = {Protocol Requirements for Self-Organizing Artifacts: Towards an Ambient Intelligence},
	booktitle = {Unifying Themes in Complex Systems},
	volume = {V},
	year = {2011},
	note = {Also VUB AI-Lab Memo 04-04},
	pages = {136-143},
	publisher = {Springer},
	organization = {Springer},
	address = {Berlin Heidelberg},
	abstract = {We 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.},
	doi = {10.1007/978-3-642-17635-7_17},
	url = {http://arxiv.org/abs/nlin.AO/0404004},
	author = {Carlos Gershenson and Francis Heylighen},
	editor = {Minai, Ali and Braha, Dan and Yaneer {Bar-Yam}}
}
@book {IWSOS2011,
	title = {Self-Organizing Systems 5th International Workshop, IWSOS 2011, Karlsruhe, Germany, February 23-24, 2011, Proceedings. Springer LNCS 6557},
	series = {Lecture Notes in Computer Science},
	volume = {6557},
	year = {2011},
	publisher = {Springer},
	organization = {Springer},
	abstract = {This book constitutes the refereed proceedings of the 5th International Workshop on Self-Organizing Systems, IWSOS 2011, held in Karlsruhe, Germany, in February 2011. The 9 revised full papers presented together with 1 invited paper were carefully selected from 25 initial submissions. It was the 5th workshop in a series of multidisciplinary events dedicated to self-organization in networked systems with main focus on communication and computer networks. The papers address theoretical aspects of self-organization as well as applications in communication and computer networks and robot networks.},
	isbn = {978-3-642-19166-4},
	doi = {10.1007/978-3-642-19167-1},
	url = {http://dx.doi.org/10.1007/978-3-642-19167-1},
	editor = {Christian Bettstetter and Carlos Gershenson}
}
@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}
}
@conference {RodriguezEtAl2007,
	title = {Smartocracy: Social Networks for Collective Decision Making},
	booktitle = {Hawaii International Conference on Systems Science (HICSS)},
	year = {2007},
	publisher = {IEEE Computer Society},
	organization = {IEEE Computer Society},
	abstract = {Smartocracy is a social software system for collec- tive decision making. The system is composed of a social network that links individuals to those they trust to make good decisions and a decision network that links individuals to their voted-on solutions. Such networks allow a variety of algorithms to convert the link choices made by individual participants into specific decision outcomes. Simply interpreting the linkages differently (e.g. ignoring trust links, or using them to weight an individual{\textquoteright}s vote) provides a variety of outcomes fit for different decision making scenarios. This paper will discuss the Smartocracy network data structures, the suite of collective decision making algorithms currently supported, and the results of two collective decisions regarding the design of the system.},
	doi = {10.1109/HICSS.2007.484},
	url = {http://tinyurl.com/ybojp8},
	author = {Rodriguez, Marko A. and Steinbock, Daniel J. and Watkins, Jennifer H. and Gershenson, Carlos and Bollen, Johan and Grey, Victor and deGraf, Brad}
}
@inbook {Gershenson2007-SOS,
	title = {Towards a General Methodology for Designing Self-Organizing Systems},
	booktitle = {Complexity, Science and Society},
	year = {2007},
	publisher = {Radcliffe Publishing},
	organization = {Radcliffe Publishing},
	address = {Oxford},
	author = {Carlos Gershenson},
	editor = {Jan Bogg and Robert Geyer}
}
@conference {GershensonEtAl2006,
	title = {The Role of Redundancy in the Robustness of Random {Boolean} Networks},
	booktitle = {{Artificial Life X}, Proceedings of the Tenth International Conference on the Simulation and Synthesis of Living Systems.},
	year = {2006},
	pages = {35{\textendash}42},
	publisher = {MIT Press},
	organization = {MIT Press},
	abstract = {Evolution depends on the possibility of successfully exploring fitness landscapes via mutation and recombination. With these search procedures, exploration is difficult in "rugged" fitness landscapes, where small mutations can drastically change functionalities in an organism. Random Boolean networks (RBNs), being general models, can be used to explore theories of how evolution can take place in rugged landscapes; or even change the landscapes. In this paper, we study the effect that redundant nodes have on the robustness of RBNs. Using computer simulations, we have found that the addition of redundant nodes to RBNs increases their robustness. We conjecture that redundancy is a way of "smoothening" fitness landscapes. Therefore, redundancy can facilitate evolutionary searches. However, too much redundancy could reduce the rate of adaptation of an evolutionary process. Our results also provide supporting evidence in favour of Kauffman{\textquoteright}s conjecture (Kauffman, 2000, p.195).},
	url = {http://uk.arxiv.org/abs/nlin.AO/0511018},
	author = {Carlos Gershenson and Stuart A. Kauffman and Ilya Shmulevich},
	editor = {Rocha, L. M. and L. S. Yaeger and M. A. Bedau and D. Floreano and R. L. Goldstone and A. Vespignani}
}
@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 {Gershenson2004b,
	title = {Updating Schemes in Random {Boolean} Networks: Do They Really Matter?},
	booktitle = {Artificial Life {IX} Proceedings of the Ninth International Conference on the Simulation and Synthesis of Living Systems},
	year = {2004},
	pages = {238{\textendash}243},
	publisher = {MIT Press},
	organization = {MIT Press},
	abstract = {In this paper we try to end the debate concerning the suitability of different updating schemes in random Boolean networks (RBNs). We quantify for the first time loose attractors in asyncrhonous RBNs, which allows us to analyze the complexity reduction related to different updating schemes. We also report that all updating schemes yield very similar critical stability values, meaning that the "edge of chaos" does not depend much on the updating scheme. After discussion, we conclude that synchonous RBNs are justifiable theoretical models of biological networks.},
	url = {http://arxiv.org/abs/nlin.AO/0402006},
	author = {Carlos Gershenson},
	editor = {J. Pollack and M. Bedau and P. Husbands and T. Ikegami and R. A. Watson}
}
@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 {Gershenson2002c,
	title = {Behaviour-Based Knowledge Systems: An Epigenetic Path from Behaviour to Knowledge},
	booktitle = {Proceedings of the 2nd Workshop on Epigenetic Robotics},
	volume = {94},
	year = {2002},
	pages = {35{\textendash}41},
	publisher = {Lund University Cognitive Studies},
	organization = {Lund University Cognitive Studies},
	address = {Edinburgh, Scotland},
	abstract = {In this paper we expose the theoretical background underlying our current research. This consists in the development of behaviour-based knowledge systems, for closing the gaps between behaviour-based and knowledge-based systems, and also between the understandings of the phenomena they model. We expose the requirements and stages for developing behaviour-based knowledge systems and discuss their limits. We believe that these are necessary conditions for the development of higher order cognitive capacities, in artificial and natural cognitive systems.},
	url = {http://www.lucs.lu.se/ftp/pub/LUCS\%5FStudies/LUCS94/Gershenson.pdf},
	author = {Carlos Gershenson},
	editor = {Christopher G. Prince and Yiannis Demiris and Yuval Marom and Hideki Kozima and Christian Balkenius}
}
@conference {Gershenson2002e,
	title = {Classification of Random {Boolean} Networks},
	booktitle = {Artificial Life {VIII}: Proceedings of the Eight International Conference on Artificial Life},
	year = {2002},
	pages = {1{\textendash}8},
	publisher = {MIT Press},
	organization = {MIT Press},
	address = {Cambridge, MA, USA},
	abstract = {We provide the first classification of different types of Random Boolean Networks (RBNs). We study the differences of RBNs depending on the degree of synchronicity and determinism of their updating scheme. For doing so, we first define three new types of RBNs. We note some similarities and differences between different types of RBNs with the aid of a public software laboratory we developed. Particularly, we find that the point attractors are independent of the updating scheme, and that RBNs are more different depending on their determinism or non-determinism rather than depending on their synchronicity or asynchronicity. We also show a way of mapping non-synchronous deterministic RBNs into synchronous RBNs. Our results are important for justifying the use of specific types of RBNs for modelling natural phenomena.},
	url = {http://arxiv.org/abs/cs/0208001},
	author = {Carlos Gershenson},
	editor = {Standish, R. K. and M. A. Bedau and H. A. Abbass}
}
@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 {GershensonEtAl2000b,
	title = {Thinking Adaptive: Towards a Behaviours Virtual Laboratory},
	booktitle = {{SAB} 2000 Proceedings Supplement},
	year = {2000},
	publisher = {ISAB press},
	organization = {ISAB press},
	address = {Paris, France},
	abstract = {In this paper we name some of the advantages of virtual laboratories; and propose that a Behaviours Virtual Laboratory should be useful for both biologists and AI researchers, offering a new perspective for understanding adaptive behaviour. We present our development of a Behaviours Virtual Laboratory, which at this stage is focused in action selection, and show some experiments to illustrate the properties of our proposal, which can be accessed via Internet.},
	url = {http://uk.arxiv.org/abs/cs/0211028},
	author = {C. Gershenson and P. P. Gonz{\'a}lez and J. Negrete},
	editor = {Jean-Arcady Meyer and Alain Berthoz and Dario Floreano and Herbert L. Roitblat and Stewart W. Wilson}
}
