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2019 | OriginalPaper | Buchkapitel

3. Organizational Consciousness Versus Artificial Consciousness

verfasst von : Claire Lajaunie, Pierre Mazzega

Erschienen in: Law, Public Policies and Complex Systems: Networks in Action

Verlag: Springer International Publishing

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Abstract

What is the capacity of an informal network of organizations to produce answers in response to complex tasks requiring the integration of masses of information designed as a high-level cognitive and collective activity? Are some network configurations more favourable than others to accomplish these tasks? We present a method to make these assessments, inspired by the Information Integration Theory issued from the modelling of consciousness. First we evaluate the informational network created by the sharing of information between organizations for the realization of a given task. Then we assess the natural network ability to integrate information, a capacity determined by the partition of its members whose information links are less efficient. We illustrate the method by the analysis of various functional integrations of Southeast Asian organizations, creating a spontaneous network participating in the study and management of interactions between health and environment. Several guidelines are then proposed to continue the development of this fruitful analogy between artificial and organizational consciousness (refraining ourselves from assuming that one or the other exists).

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Vorheriges Kapitel Codification, Between Legal Complexity and Computer Science Agility

Nächstes Kapitel The Entity-Process Framework for Integrated Agent-Based Modeling of Social-Ecological Systems

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We can quote here the conclusion to the Section entitled “conceptual stability and change” in the article (p. 1522) written by Hjørland (2009):“Concepts are dynamically constructed and collectively negotiated meanings that classify the world according to interests and theories. Concepts and their development cannot be understood in isolation from the interests and theories that motivated their construction, and, in general, we should expect competing conceptions and concepts to be at play in all domains at all times.”

For example, the categories of time, space, causality, but also the grammatical forms of the language…

Douglas (1986) op. cit., p. 11.

Objects or people recognition, motor control systems, vision, audition, etc.

The method is described in detail and commented in Lajaunie and Mazzega (2016a).

By keyword we mean a noun phrase, a word or even a word root: e.g. the root “agri” identifies all occurrences of themes related to agriculture in the corpus we use here.

Note that in a pair of keywords (t _j, t _k) (tn, tm) we can have t _j = t _k.

Note that I _AMI[A, B] = I _AMI[B, A] and I _AMI[A, B] ≥ 0.

In theory only because the number of partitions of a set S of N elements very quickly increasing with N, we only consider the set of all bipartitions of S.

O. Sacks’ book (1998) describes such cases. Brain’s plasticity allows reducing at least partially the incidences of those injuries.

It will be necessary to specify how to define and observe the network’s state at a determined moment: the informational networks previously presented are creating the structure of informational exchanges (an equivalent to anatomic constraints of the brain); the network’s state would correspond to the real functioning state of the network when realizing a specific collective task. To various activity patterns would correspond diverse consciousness experiences.

After the brain’s corpus callosum cut off, each hemisphere of the brain develops its proper experience of “private” consciousness, but only the left hemisphere can express its states of mind (Sperry 1984).

Substituting an analysis based on the notion of influence for analyses regarding effectiveness and compliance, Bernstein and Cashore (2012) propose an approach of the link between global governance (e.g. international environmental regimes) and public policies closer to the bases of our model.

In addition, even though the neuronal network exists a priori, the consciousness experiences may modify its functioning and reciprocally: we observe the same for organizations.

E.g. for the analysis of “health and environment” terminology in international biodiversity conventions see Lajaunie and Mazzega (2016b, 2017) and Lajaunie et al. (2018).

See Mazzega and Lajaunie (2017) for an approach of governance modeling relying on Galois lattices, and Mazzega et al. (2018) for the introduction of the notions of dimensionality and conjugacy in governance modeling using simplicial complexes.

We can broaden that perspective. A rich literature, at the confluence of various academic areas, proposes criteria in order to define or characterize the complexity of judicial, socio-environmental or political systems (e.g. Bourcier et al. 2012; Squazzoni 2014). Nevertheless, our experience leads us to consider a subjective aspect of complexity: can be qualified as complex any system that cannot be comprehended by an individual understanding: “comprehension” and not “analysis” because if analysis can be broken down into different elements, comprehension targets more precisely information and knowledge integration processes which is not the result of a simple juxtaposition of preset results. In other words, the understanding of complex systems requires the creation of the conditions of an organizational consciousness (and the development of tools and methodologies coming for computer science and artificial intelligence can contribute to developing organizational consciousness).

We could a priori postulate a uniform distribution of occurrence of a given term between the various corpora. The posterior probability is here based on the analysis of the empirical texts.

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Titel: Organizational Consciousness Versus Artificial Consciousness
verfasst von: Claire Lajaunie
Pierre Mazzega
Verlag: Springer International Publishing
Buch: Law, Public Policies and Complex Systems: Networks in Action
Print ISBN: 978-3-030-11505-0

Electronic ISBN: 978-3-030-11506-7

Copyright-Jahr: 2019
DOI: https://doi.org/10.1007/978-3-030-11506-7_3

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