Portal:Complex Systems Digital Campus/E-Laboratory on Social Self-organization

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e-Laboratory on Social Self-organization


Challenges[edit | edit source]

We will investigate the possible ethical consequences of the uses of ubiquitous computing in everyday life, involving affordances for trust, surveillance, and spontaneity – a subject related to the Latin American Complex Systems Roadmap – Brazil. Specifically, we will investigate the problem of informational privacy from the complex systems perspective. This problem may be formulated as follows: How can privacy be analyzed in light of the increasing presence of informational technologies in individuals’ daily lives? This problem arises from the fact that the relation between individuals and information technologies is generating new possibilities of action, which make it difficult to delimit public/private boundaries.

We will argue that adoption of the systemic perspective in the analysis of informational privacy provides a proper method for the investigation of interdisciplinary-philosophical reflections on new themes that arise in the contemporary scenario of digital technologies. Special emphasis is to be given to Weaver’s (1948/2004, p. 539) method of analysis of problems of organized complexity. Weaver’s approach takes into consideration a great number of variables, but focuses mainly on specific ways in which these variables are self-organized. Problems such as “Why is one chemical substance a poison, when another, whose molecules have exactly the same atoms, but assembled into a mirror-image pattern, is completely harmless?” illustrate an important concept that Weaver calls organized complexity. We argue that Weaver’s method for the study of organized complexity involves two forms of self-organization, known as primary and secondary self-organization (Ashby, 1962; Debrun, 1996, 2009).

Gonzalez & Haselager (2005, p.7) describe these forms of self-organization as follows:

  • Primary self-organization involves the encounter between organic or inorganic elements that are initially separated (or have independent behaviors). The meeting of these elements (ideally by chance) initiates a spontaneous interaction amongst themselves, in such a way as to give rise to new structures or distinct forms of organization, without a central controller;
  • Secondary self-organization, in turn, happens when under certain circumstances there appear disturbances that provide suitable conditions for the primary self-organized system to change, learning how to adjust the communication amongst its elements in order to create new stable patterns of behavior.

We understand that both forms of self-organization (primary and secondary) may constitute the core of organized complexity, as stressed by Weaver. According to him, problems of organized complexity can be found in areas including “the biological, medical, psychological, economic, and political sciences”. We are interested here in the ethical domain: In light of the complex systems perspective, privacy will be analyzed as being conventionally constituted from properties significant to individuals placed in groups that share information in self-organized ways. Within this context, the analysis of privacy will be established on the basis of personal, cultural, and professional characteristics, amongst others, which are specific to self-organized groups, with such characteristics being seen as worthy of protection (Moraes, 2012; Moraes & Gonzalez, in press).

In summary, in this e-laboratory we will discuss the hypothesis that primary and secondary self-organization constitute a powerful conceptual tool for analyzing problems of complexity, as proposed by Weaver (1948), on which basis we will be able to identify the boundaries of what is considered private by self-organized individuals organized into specific groups.

Contact[edit | edit source]

If want to join our interdisciplinary work, please, contact us:

  • social.self.organization@gmail.com

Name, website and institution[edit | edit source]

of the responsible for the e-laboratory[edit | edit source]

  • Maria Eunice Quilici Gonzalez | www.marilia.unesp.br, University of São Paulo State (UNESP), Brazil*
  • Mariana Claudia Broens | www.marilia.unesp.br, University of São Paulo State (UNESP), Brazil
  • Alexander Gerner | University of Lisbon, Portugal
  • Jorge Louçã | School of Technology and Architecture, Portugal

list of the teams participating in the e-laboratory[edit | edit source]

  • Antonio Sergio da Costa Nunes | www.marilia.unesp.br, State University of São Paulo (UNESP), Brazil
  • Ana Claudia Golzio | www.marilia.unesp.br, University of São Paulo State (UNESP), Brazil
  • Claudia Wanderley | www.cle.unicamp.br, State University of Campinas (UNICAMP), Brazil
  • Edna Alves de Souza | www.marilia.unesp.br, University of São Paulo State (UNESP), Brazil
  • João Antonio de Moraes | www.cle.unicamp.br, State University of Campinas (UNICAMP), Brazil
  • Ítala Maria Loffredo D'Ottaviano | www.cle.unicamp.br, State University of Campinas (UNICAMP), Brazil
  • Mirelys Puerta Díaz | www.marilia.unesp.br, State University of São Paulo (UNESP), Brazil
  • Renata Souza Silva | www.marilia.unesp.br, University of São Paulo State (UNESP), Brazil
  • William Alfred Pickering | www.cle.unicamp.br, State University of Campinas (UNICAMP), Brazil

Coordination committee[edit | edit source]

  • Maria Eunice Quilici Gonzalez | www.marilia.unesp.br, University of São Paulo State (UNESP), Brazil*
  • Mariana Claudia Broens | www.marilia.unesp.br, University of São Paulo State (UNESP), Brazil
  • Alexander Gerner | University of Lisbon, Portugal

Research projects in the e-laboratory[edit | edit source]

From the Brazilian Roadmap:

1.Individuation and alterity (otherness) in complex social niches

1.1 A self-organized approach to individual and collective habits, with emphasis on relational aspects of alterity: a multicultural perspective;

1.2 The dialogic character of thought as semiosis, with the prevalence of systemic interpersonal relations in thinking processes.


2. The nature and role of frontier elements in complex systems

2.1 Frontier elements, by their own nature, do not belong to any specific niche, but they may communicate with internal and external elements of different niches. One of the problems under analysis is: Can this communication introduce relevant novelty to the organization of complex systems?

2.2 How does the transit between frontier elements in complex niches occur?


3. Research on environmental data within the framework of complex systems science

3.1 Emergence of order parameters may occur in complex systems at the macroscopic level. In the context of environmental science: What does it mean to say that environmental systems are complex systems?

3.2 How can the complexity and the levels of organization of environmental niches, including their subsystems, be detected?


4. Ethical consequences of human/machine interfaces in social niches

4.1 Possible ethical consequences of the use of ubiquitous computing in social niches, involving affordances for trust, surveillance, and spontaneity.

4.2. Possible ethical consequences of the use of Big Data

e-laboratory Scientific Committee[edit | edit source]

(to be completed)


URL for the Website and/or Wiki of the e-laboratory[edit | edit source]


Grid, Cloud, or other network utilities to be used[edit | edit source]

Data and/or Tools to be shared[edit | edit source]


Bibliography[edit | edit source]

  • ADAMS, F. The informational Turn in Philosophy. In: Minds and Machines, Netherlands, 13: 471-501, 2003.
  • ASHBY, W. Principles of the self-organising system. In: Von FOESTER; ZOPF (Eds). Principles of self-organisation. London: Pergamon, 1962, p.225-278.
  • BEER, R.D. A dynamical systems perspective on agent-environment interaction. Artificial Intelligence, 72, 1995, p.173-215.
  • BRASSAI, S.T., IANTOVICS, L.B., ENACHESCU, C.: Optimization of Robotic Mobile Agent Navigation, Studies in Informatics and Control, 21(4), 2012, 403-412.
  • BRESCIANI FILHO, E.; D’OTTAVIANO, I. M. L. Conceitos básicos de sistêmica. In: D’OTTAVIANO, I. M. L.; GONZALEZ, M. E. Q. Auto-Organização: estudos interdisciplinares. Campinas: Coleção CLE, v. 30, p. 283-306, 2000.
  • CAPURRO, R. Towards an ontological foundation of Information Ethics. In: Ethics and Information Technology, v.8, n. 4, p. 175-186, 2006.
  • CAPURRO, R. Desafios Téoricos y Prácticos de la ética intercultural de la información. Org. Gustavo Henrique de Araújo Freire. João Pessoa: Editora Ideia, 2010.
  • DEBRUN, M. A idéia de auto-organização. In: DEBRUN, M., GONZALEZ, M. E. Q. & PESSOA JR, O. (Orgs.) Auto-organização: estudos interdisciplinares. Campinas, SP: UNICAMP, 1996 b, p. 3-23. (Coleção CLE; v. 18).
  • DEBRUN, M. A dinâmica da auto-organização primária. In: DEBRUN, M., GONZALEZ, M. E. Q. & PESSOA JR, O. (Orgs.) Auto-organização: estudos interdisciplinares. Campinas, SP: UNICAMP, 1996 c, p. 25-59. (Coleção CLE; v. 18).
  • DeCEW, J. (2006). Privacy. In: Stanford Encyclopedia of Philosophy. <http://plato.stanford.edu/entries/privacy/> (accessed 27 Aug. 2012).
  • FLORIDI, L. The ontological interpretation of informational privacy. In: Ethics and information technology, v.00, p. 1-16, 2006a.
  • FLORIDI, L. (2006b). Four challenges for a theory of information privacy. <http://www.philosophyofinformation.net/publications/pdf/fcfatoip.pdf> (accessed 01 Aug. 2011).
  • GECOW, A.,  IANTOVICS, L. B. Semi-Adaptive Evolution with Spontaneous Modularity of Half-Chaotic Randomly Growing Autonomous and Open Networks, Symmetry 2022, 14(1), 92; https://doi.org/10.3390/sym14010092
  • GECOW, A., IANTOVICS, L.B., TEZ, M. Cancer and Chaos and the Complex Network Model of a Multicellular Organism, Biology 2022, 11(9), 1317; https://doi.org/10.3390/biology11091317
  • GIBSON, J. J. More on affordances. In: E.S. Read and Jones (Eds). 1982. <http://huwi.org/gibson/moreaff.php> (accessed 10 May 2007).
  • GONZALEZ, M. E. Q. & HASELAGER, W. F. G. Creativity: Surprise and abductive reasoning. Semiótica, p. 325-341, 2005.
  • GONZALEZ, M. E. Q. & MORAIS, S. R. Contribuições do Pragmatismo para a Compreensão do Conceito de Informação Ecológica. In: Cognitio v.8 n.1: São Paulo, p. 93-104, 2007.
  • GONZALEZ, M. E. Q.; MORAES, J. A. Complexidade e privacidade informacional: um estudo na perspectiva sistêmica. In: GONZALEZ, M. E. Q.; ANDRADE, R. C. S.; PELLEGRINI, A. M. (Orgs.). Auto-organização: estudos interdisciplinares. Campinas: UNICAMP (in press).
  • HAKEN, H. Information and Self-Organization. Berlin: Springer, 2000.
  • IANTOVICS, L.B., HLUCHÝ, L., KOUNTCHEV, R. (Eds.): Special Issue on Understanding Complex Systems, Acta Universitatis Apulensis, 2011.
  • IANTOVICS, L.B., RADOIU, D., MARUSTERI, M., DEHMER, M. (Eds.): Special Issue on Complexity in Sciences and Artificial Intelligence, BRAIN. Broad Research in Artificial Intelligence and Neuroscience, 1, July 2010.
  • IANTOVICS, L.B., SZILAGYI, L., PINTEA, C.M.: Societal intelligence -A new perspective for highly intelligent systems, 22nd Int. Conf. on Neural Information Processing (ICONIP 2015), 9-12 Nov. 2015, Istanbul, Turkey. In: Arik, S., Huang, T., Lai, W., Liu, Q. (Eds.), Neural Information Processing, Lecture Notes in Computer Science, 9492, 2015, pp.606-614. Doi: 10.1007/978-3-319-26561-2_71.
  • IANTOVICS, L.B., ZAMFIRESCU, C.B.: ERMS - An Evolutionary Reorganizing Multiagent System, International Journal of Innovative Computing, Information and Control, 9(3), 2013, 1171-1188.
  • LEWIN, R. Complexidade: a vida no limite do caos. Rio de Janeiro: Rocco, 1994.
  • MAINZER, K. Thinking in complexity: the complex dynamics of matter, mind, and mankind. New York: Springer, 1997.
  • MORAES, J. A. Implicações éticas da “virada informacional na Filosofia”. UNESP, 2012 (Master's thesis).
  • MORIN, E. Ciência com consciência. Rio de Janeiro: Bertrand Russel, 2005.
  • PEIRCE, C. S. The Collected Papers of Charles Sanders Peirce. Electronic edition. Vols. I-VI. (Eds.) Hartshorne, C & Weiss, P. (1958). Vols. VII-VIII. (Ed.) Burks, A. W. Charlottesville: Intelex Corporation. Cambridge: Harvard University, 1931-1935.
  • TOKODY, D., PAPP, J., IANTOVICS L.B., FLAMMINI, F., Complex, Resilient and Smart Systems, In: Flammini, F. (eds) Resilience of Cyber-Physical Systems. Advanced Sciences and Technologies for Security Applications. Springer, Cham, 3-24, 2019.
  • QUILICI-GONZALEZ, J. A.; KOBAYASHI, G.; BROENS, M. C.; GONZALEZ, M.E.Q. Ubiquitous computing: any ethical implications?. In: International Journal of Technoethics, v. 1, p. 11-23, 2010.
  • WEAVER, W. (1948). Science and complexity. In: Classical papers – science and complexity, v. 6, n. 3, 2004.
  • ZAMFIRESCU, C.B., DUTA,  L., IANTOVICS, L.B.: On investigating the cognitive complexity of designing the group decision process, Studies in Informatics and Control, 19(3), 2010, 263-270.


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