The relevance of dynamic systems theory for cognitive linguistics.ppt
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1、The relevance of dynamic systems theory for cognitive linguistics,Interdisciplinary Themes in Cognitive Language Research Symposium University of Helsinki and FiCLA November 25 26, 2005,Wolfgang Wildgen,Wolfgang Wildgen,2,Contents,1 Basic oppositions 2 Some features of dynamic models for language 3
2、Talmys “force- dynamics” 4 Lakoff and Johnsons metaphorical mappings 5 The problem of compositionality (construal) in cognitive grammar (Langacker) 6 The dynamics of composition in grammar 7 Conclusions,Wolfgang Wildgen,3,Basic oppositions,Thom was guided by his discussion with Waddington on biologi
3、cal morphogenesis and expanded this thought to linguistics. In his holistic strategy Thom preferred a gestaltist, geometrical, morphogenetic view on biology and not so much a mechanistic one, which takes the brain as the central (and finally) only “organ” responsible for thought, language and cultur
4、e. The research line of cognitive linguistics in general since the 50s may be situated in an interdisciplinary but rather technically minded world: that of information theory (Shannon), and cybernetics (Wiener). It was developed in the philosophical atmosphere of logical empiricism (Quine) and forma
5、l syntax (Carnap). Whereas Chomsky elaborated this field and created a compact mentalistic theory, Lakoff (since 1975) and with him Langacker and Talmy combined insights of gestalt-psychology and modern computer vision with ideas stemming from issues of generative semantics.,Wolfgang Wildgen,4,Some
6、features of dynamic models for language,Figure 1: List of elementary catastrophes.,Wolfgang Wildgen,5,Figure 2: Two basic types of dynamics: stability (attractor) and instability (repellor).,Figure 3: A hierarchy of dyna-mical conflicts typical for the compact catastrophes “cusp” (A3), “butterfly” (
7、A5) and “star” (A7).,Wolfgang Wildgen,6,The process type called “capture”,Figure 4: Derivation of a process-schema (right) from a path p in the vector-field of the cusp (A3).,Wolfgang Wildgen,7,Figure 6: Feigenbaum-scenario (the constant k increases from 2 to 4 horizontally, whereas the vertical dim
8、ension concerns the state x. At k = 3 the curve splits; at k = 3,58 the “tree” has infinitely many branches.,Figure 5: Rssler-attractor (in the case: a = 0,035; b = 0,46; c = 4.5; cf. Plath and Wildgen, 2005).,Wolfgang Wildgen,8,Restrictions on qualitative dynamic models,The topological nature of el
9、ementary catastrophe theory asks for a “rough” modelling by which only general features of the field in question can be captured. The “dynamics of language”, must in the beginning consider mainly: critical transitions, bimodal, trimodal oppositions, etc. Specific predictions or an exact reproduction
10、 of descriptive details cannot be the goal of these models, because it is by definition a topological (and not a geometrical) model and all description have to be interpreted modulo smooth deformations (diffeomorphisms); i.e., one cannot simply transfer them to the level of metrical measures. This m
11、eans that only very general questions may be assessed with the help of qualitative dynamics,Wolfgang Wildgen,9,Talmys “force- dynamics”,The material on which Talmys analyses is based are two sets of examples with a closed class term at their centre, either a preposition (a) or a connector (b). The b
12、all sailed past his head. The ball sailed through the hoop. He ran around the house. He walked across the field. (Cf. Talmy, 1975: 201-205) The ball kept rolling because of the wind blowing on it. The shed kept standing despite the gale wind blowing against it. (Cf. Talmy, 1988: 5),Wolfgang Wildgen,
13、10,The pictures in Talmys article demonstrate, that the examples in (a) use notions of space, border, transition, and motion that may be modelled in dynamic system theory. Fig. 7 sketches such an elaboration. In the sentence “He walked across the field”, the field is a topologically coherent surface
14、 with a boundary, ideally a circle or a regular polygon. We have two dynamics: slow (stable) and quick (transitory) dynamics, the latter corresponds to one of the two types in Figure 2; i.e., an attractor is found or a repellor is avoided. The verb “walk” focuses on the stable (slow) motion, with an
15、 implicit ingressive (start) and egressive (stop) phase, whereas “across” focuses on the quick dynamics of change, called a “catastrophe”.,Wolfgang Wildgen,11,Be captured by the attractor ENTER,Let free from the attractor LEAVE,Attractor “field”,Walk (path) slow dynamics,across,Figure 7: Catastrophe
16、 theoretical description of the major dynamic meaning components in the sentence.,Wolfgang Wildgen,12,The ball kept rolling because of the wind blowing on it. intrinsic force tendency of the Agonist (right): towards rest (), the Antagonist (left) is stronger (), intrinsic force tendency of the Antag
17、onist: action (), result of the force interaction: action ( ).,Figure 8: Schematisation of force-dynamics by Talmy (1988).,Wolfgang Wildgen,13,roll : motion (attracted by a position of rest); consequence for motion is the end (death) of motion; i.e. a fold-catastrophe (A2). B. blow: energy gain C. b
18、ecause: link between energy gain and natural (diffusive) loss of energy D. keep: equilibrium between loss of energy and (added) gain of energy.,Versal unfolding of the attractor,End of motion as fold-catastrophe,Rest as attractor,Figure 9 : A dynamic analogue of Talmys description,Wolfgang Wildgen,1
19、4,Coupled dynamic systems,The coupling of two dynamic systems has been analyzed in the case of physical systems (the classical case are coupled oscillators and resonance phenomena). The dynamic systems approach produced the interdisciplinary field called “synergetics” by Herman Haken. It has been ap
20、plied to cognitive systems. Haken, Kelso, a. o. studied the coupling of finger movements, of animal gaits etc. Haken (1996) applied the methods of synergetics also to effects of synchronization and desynchronization shown in EEG and MEG patterns. Oullier et alii (2004) expanded this paradigm to imag
21、ined sensorimotor coordination.,Wolfgang Wildgen,15,Semantic coupling in language,In the case of two sentences coupled by a connector or an adjunct (adjective) coupled with a head noun one could imagine an application of this methodology, if there was a proper dynamic model of single word meanings.
22、At least the notion of prototype introduced by Eleanor Rosch and others in the 70s shows that simple concepts like those of color-terms have an attractor like shape. The major difficulty is that many simplex word-concepts are semantically already complex (as they involve different sensorimotor param
23、eters, abstraction, metonymy, metaphor). The syntactic composition of words must therefore first consider a kind of frozen complexity at the word level and build a syntactic operation of meaning composition on this basis.,Wolfgang Wildgen,16,Although the pictorial illusion of simplicity in Talmys mo
24、del is destroyed, the dynamical model-sketch pinpoints basic problems hidden in Talmys description. There is a mapping between physical dynamics (the wind, the ball), the perception or the imagined enacting of the process, its memory trace (with abstraction) and the linguistic expression. The first
25、levels are hidden in Talmys description, although his terminology and pictures presuppose their existence. Thus part of the “cognitive aspect” is veiled by his description. The semantics of these complex sentences blend different types of dynamics: spatio-temporal dynamics with attractors and catast
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