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The Knowledge Base of General Systemology

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Part of the book series: Translational Systems Sciences ((TSS,volume 13))

Abstract

The search for a foundational general systems theory (GST*) formally became a scientific enterprise with the founding of the Society for the Advancement of General Systems Theory in 1954. Many scientific advances have been made towards a GST*, but GST* is still incomplete and there is a rich ongoing debate about the nature, structure and value of GST*. In this chapter we argue that the general theory of a discipline has a generic structure, which can be inferred by attending to the process by which disciplines build up their knowledge base. We develop a model of this generic structure and then use it to envision the structure and scope of GST*. This provides a principled baseline for assessing the developmental status of GST*, planning work towards its completion, and defending the potential value of GST*.

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Notes

  1. 1.

    George Mobus and Michael Kalton recently proposed a useful list of heuristic “principles of systems science ” (Mobus & Kalton, 2014, pp. 17–30), that could form a useful starting point for developing general systems principles that can be explicitly connected to the manifestation of systemic isomorphies.

  2. 2.

    This view is defended by Mario Bunge, who proposes that GST* does not exist as a distinct theory but only as a collection of specialised theories about each of the kinds of systemic structures and processes (Bunge, 1979, p. 1; 2014, p. 8). A similar but more refined position has been pursued by Len Troncale, who does takes GST* to be distinct from theories about the isomorphies , but sees GST* as a model of the linkages between the isomorphies rather than the principles underlying them (Friendshuh & Troncale, 2012; Troncale, 1978, 1986, 1988). According to Troncale, the isomorphies are not merely correlations between aspects of models of kinds of systems, but isomorphies are objectively real and are the causes of the manifestations of systemic structures and processes (Troncale, 1988, p. 17).

  3. 3.

    Concrete systems are systems with causal powers. GST* was conceived as a general theory over natural systems, hence the specification of its scope as embracing concrete systems. However, it may have significance for abstract systems too.

  4. 4.

    “Empirical” is defined in the OED as “based on, concerned with, or verifiable by observation or experience rather than theory or pure logic”.

  5. 5.

    We adopt this technical term from its usage in Biology. It derives from the ancient Greek μορφή, morphé, meaning “form”, and λόγος, lógos, meaning “study, research”. In the present context we interpret the notion “form” very widely, to include all aspects of appearances for example shape, structure, composition, colour, functions, behaviours, properties, powers, capacities etc.

  6. 6.

    From the ancient Greek μορφή, morphé, meaning “form”, and from the Greek δυναμικός dynamikos “powerful”, from δύναμις dynamis “power”.

  7. 7.

    From the ancient Greek μορφή, morphé, meaning “form”, and γενετικός, genetikos, meaning “genitive”/“generative”, which in turn derives from γένεσις genesis meaning “origin”. Our usage generalizes the application of the term morphogenetics beyond its current use in biology, where it refers only to the study of the development of normal organic form (Merriam-Webster, n.d.).

  8. 8.

    In many technical disciplines (for example Biology) the term “ontology” is used for what we have here called “subject terminology”. In the context of a disciplinary Knowledge Base we will reserve “ontology” to refer to the set of entities treated as logical or natural objects by the discipline (more on this in Sect. 5.3.4.1), in line with conventional usage in philosophy. In the AKG model we also use the term “ontology” in the Guidance Framework in its philosophical sense, to refer to the worldview component concerned with what exists most fundamentally in the universe (relative to how the term “the universe” is construed in the worldview). The usage context should always make it clear in which sense the term “ontology” is being used.

  9. 9.

    We adopt this technical term from its use in Biology to refer to associations between terminology (“ontology” in their usage) and biological entities (Hill, Smith, McAndrews-Hill, & Blake, 2008; Yon Rhee, Wood, Dolinski, & Draghici, 2008).

  10. 10.

    From the ancient Greek πρῶτος protos, meaning “first”, and γενετικός, genetikos, meaning “genitive”/”generative”, which in turn derives from γένεσις genesis meaning “origin”. The noun “protogenetics” is not in current scientific use but the adjective “protogenetic” is in use in Geology to refer to mineral inclusions that are older than the host material.

  11. 11.

    From the Greek ὄν, on (gen. Ὄντος, ontos), meaning “being; that which is”, and from –γένεια, −geneia, meaning “mode of production” or γενετικός, genetikos, meaning “genitive”/”generative”, which in turn derives from γένεσις genesis meaning “origin”.

  12. 12.

    From the Greek φυλή, φῦλον - phylé, phylon meaning “tribe, clan, or race” and from γενετικός, genetikós meaning “origin, source, or birth”.

  13. 13.

    The term “functional pattern” is used here in a neutral way, and does not entail the existence of an intentional designer for whom the ‘function’ has some ‘purpose’.

  14. 14.

    Literally, “the art of producing value” from the Greek ἀξίᾱ, axiā, meaning “value, worth” and the related ancient Greek terms τέχνη, tékʰnɛː, meaning “craftsmanship, craft or art”, τεχνικός, tekhnikós, meaning “of or pertaining to art, artistic, skilful” and τίκτειν, tíktein, “to bring forth, produce, engender”.

  15. 15.

    For more on Evolutionary Systems Design, see (A. Laszlo, 1996b, 2001).

  16. 16.

    The term “panarchy” in the sense used here refers to a form of organised complexity that involves a totality that has multiple interrelationships without forming a hierarchy, so that the totality evolves but not under some kind of linear dominance relationship. See (Gunderson & Holling, 2001).

  17. 17.

    Valuable theoretical work in this area can be found in E. Laszlo (1987, 1994, 1996a) and A. Laszlo (1996b, 2001).

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Rousseau, D., Wilby, J., Billingham, J., Blachfellner, S. (2018). The Knowledge Base of General Systemology. In: General Systemology. Translational Systems Sciences, vol 13. Springer, Singapore. https://doi.org/10.1007/978-981-10-0892-4_5

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