Cognitive Science

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According to post-structuralist claims, epistemological changes depend on a certain mutation within a cadre of ideas, whose transformations imply general changes in other areas of that structure: structures are stable, though transformational, figures. The weakness of this position relies on the quasi-ontological character of structures, how do they present themselves in the mind of the observer? Cognition allows us to discern the conditions of possibility of certain social thought-structures, their expansion and their evolution, as embodied ideas. Cognitive science and mental models also point to an understanding of the spread and evolution of ideas embedded in a mental structure. Hence, it is the mental structure and not an ontological order of being the ground for change. Men create the conditions of existence of ideas by being provided with a schema that can integrate them. Still, we can always find inconsistencies in a set of believes, they prepare the ground to new mutations that might achieve a novel consistency, coherence, and coercion. Wittgenstein referred to this consistency as a Lebensform, related to a language game, to a wider system of relations than those presupposed in a mere system of signs.1 A Lebensform conveys both social practices and discourses, categories, on the other hand, highlight both their cognitive content and the implied readiness to action.

1 “Richtig und falsch ist was Menschen sagen; und in der Sprache stimmen die Menschen überein. Dies ist keine Übereinstimmung der Meinungen, sondern der Lebensform.” L. Wittgenstein, Nachlass, Oxford, 2000, Item 227a, p. 159. Ibid. Item 235, p. 8. “…der Ausdruck der Gedanken, die Sprache, ist den Menschen gemainsam. Es ist eine Lebensform in der sie übereinstimmen (nicht eine Meinung).” L. Wittgenstein, Nachlass, Item 124, p. 213.

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Background knowledge is highly important in our conceptualization and in the formation of new categories.1 Concepts are nested both in our perception and in our actions, they somehow become incorporated attitudes.2 They sustain situated action, the activity immanent to a plain of consistence. But a concept can be adopted in a wide array of situated conceptualizations and may therefore have a variable representation.3 A central model predefines the conditions of an amplified model but remains inaccessible to change due to its abstract, superordinate, character which does not permit an alteration by means of experience in a somatosensorial form, thus remaining attached to our direct experience but inalterable.4 A connectionist model of learning supposes the formation of nodes of information that become more robust and, simultaneously, more inaccessible, achieving a higher level in the cognitive hierarchy, becoming, in a sense, a prioris to knowledge.5 Still, a certain resemblance can enhance the categorization of a novel concept as long as there is a minimal information able to connect the new object to the given knowledge.6

A contemporary example of such a structural-cognitive model that becomes ubiquous is the metaphor of a network.7 It has been applied both to the tendencies of capital delocalization, the embeddedment of large multinationals within sovereign states, and also to an understanding of man that relies on, on the one hand, the developments in cognitive science and the models of parallel distributed processing of information, in the functioning of a decentralized body-brain system, and by asserting the variably scattered, extended, character of personality.8

1 B.H. Ross, “Remindings and their effects in learning a cognitive skill”, Cognitive Psychology, 16, 1984, pp. 371-416.
2 Cf. G.L. Murphy, The Big Book of Concepts, Massachusetts, 2002. D.L. Medin, “Concepts and conceptual structure”, American Psychologist 44, 1989, pp. 1469–1481. M. Morris and G. L. Murphy, “Converging operations on a basic level in event taxonomies”, Memory and Cognition 18, 1990, pp. 407–418. L.A. Hirschfeld and S. A. Gelman (eds.) Mapping the Mind: Domain Specificity in Cognition and Culture, New York, 1994.
3 L.W. Barsalou, “Situated Conceptualization”, H. Cohen and C. Lefebvre (eds.), Handbook of categorization in cognitive sciences, Saint Louis, 2005.
4 G. Lakoff, Women, Fire and Dangerous Things
5 Cf. J.K. Kruschke, “ALCOVE: An exemplar-based connectionist model of category learning”, Psychological Review, 99, 1992, pp. 22-44.
6 A.S. Kaplan and G.L. Murphy, “Category learning with minimal prior knowledge”, Journal of Experimental.
7 A.S. Kaplan and G.L. Murphy, “Category learning with minimal prior knowledge”, Journal of Experimental
Psychology: Leaning, Memory and Cognition, 26(4), 2000, pp. 829-46. Cf. E.M. Pothos and N. Charter, “A simplicity principle in unsupervised human categorization”, Cognitive Science, 26, 2002, pp. 303-43.
8 Cf. M. Castells, The rise of the network society (3 vols.), Oxford, 2000 ff.

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In the two last decades among the cognitive devices to understand categorization, metaphor has helped to explain the utilization of a concept domain, a source, into a new cognitive map, a conceptual target.(1) Thus conceptual change appears as the result of transposing certain unities of meaning into a new semantic field and therefore acquiring a new denotation that ultimately ought to become central. One of the insights of our analysis is the use of metaphors to back arguments, images and even whole scientific systems.(2)

A metaphor is not a mere linguistig trope but a cognitive ubiquous scheme in human cognition. Metaphors like ‘knowledge is seeing’, ’causes are forces’, are able to explain a domain in terms of a diverse domain and thus constitute platforms that integrate diverse elements, showing an underlying plain of consistence. In this sense, it has been observed how thought occurs mostly unconsciously, dominated by concepts, yet at the same time abstract concepts are largely metaphorical.(3) Blended spaces also suggest the motion of two domains mapped onto each other, a decontextualized central concept and a superimposed space, obtaining multiple shades and aspects through the blended experience.(4) Concepts are always nested in theories, knowledge structures, these are both external, cultural, social, plains of consistence, and internal, partial, imperfect, mental models, schemas, whose interlocking conforms the noetic space. The cognitive stabilization of models that corresponds to the basic nodes accords the conditions of possibility of knowledge and remains at a meta-level to our current perceptual-cognitive experience.(5)

(1)Especially relevant is the work by G. Lakoff. Cf. G. Lakoff and M. Johnson, Metaphors we live by, Chicago, 1980. G. Lakoff, Women, Fire and Dangerous Things, Chicago, 1987. G. Lakoff and M. Johnson, Philosophy in the Flesh. The Embodied Mind and its Challenge to Western Thought, New York, 1999. M. Black, Models and Metaphors, Cornell, 1962.

(2)“Some people will no doubt think that we are interpreting these authors too literally and that the passages we quote should be read as metaphors rather than as precise logical arguments. Indeed, in certain cases the ‘science’ is undoubtedly intended metaphorically; but what is the purpose of these metaphors? After all, a metaphor is usually employed to clarify an unfamiliar concept by relating it to a more familiar one, not the reverse.”A. Sokal and J. Bricmont Fashionable Nonsense, London, 1998, p. 9. “But scientific theories are not like novels; in a scientific context these words have specific meanings, which differ in subtle but crucial ways from their everyday meanings, and which can only be understood within a complex web of theory and experiment. If one uses them as metaphors, one is easily led to nonsensical conclusions.” Ibid., p.177. Especially interesting is the emphasis of Sokal and Bricmont on postmodern non-sense regarding the use of scientific theories and their metaphoric extensions. One of the results of this work is precisely that Hobbes, Rousseau and Schmitt also did use vaguely, inaccurately, or superficially, scientific ideas. Thus it does not seem a peculiar postmodern fashion but a rather common stance of social thinkers because of the precise features of a noetic space that nowadays seems to become dispersed into different disciplines, eroding the sense of meaning, the facility to roam on a flta surface. The use of metaphors rather as illuminating than as exact descriptions allow a new arrangement of elements, a metaphor is never an equation but transposing a source domain to a target domain necessarily produces inconsistencies.

(3) G. Lakoff and M. Johnson, Philosophy in the Flesh, op. cit.

(4) G. Fauconnier, Mappings in Thought and Language, New York, 1997.

(5) “Cultural forms stabilize because they are attention-grabbing, memorable, and sustainable with respect to relevant domain-specific devices. Of course, representations are also selected for in virtue of being present in any particular cultural environment. Domain-specific devices cannot attend to, act on, or elaborate representations that the organism does not come into contact with. For the development of culture, a cultural environment, a product of human history, is as necessary as a cognitive equipment, a product of biological evolution.” D. Sperber and L. Hirschfield, “Culture, Cognition and Evolution”, R.A. Wilson and F.C. Keil (eds.), MIT Encyclopedia, of Cognitive Sciences, Massachusetts, 1999, p. cxxii. An example given to religious representations stems from P. Boyer, The Naturalness of Religious Ideas: Outline of a Cognitive Theory of Religion, Los Angeles, 1994.

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