Fauconnier, G. and Turner M.: Conceptual Integration Networks. Cognitive Science 22(2), (1998) 133-187  Home/Search   Document Not in Database   Summary   Related Articles   Check

....of mathematics called category theory [15] This leads to many other important concepts, such as isomorphism of sign systems, and sum and product of sign systems, as well of representations, and to many general laws relating such concepts, as we will see below. 3. 1 Blending Fauconnier and Turner [2] have studied metaphors and blending, using conceptual spaces, which are sign systems having only constants and relations. A simple form of conceptual blend, or conceptual integration, has two maps with the same source, called the generic space, and with targets called input spaces, combining ....

....models correspond to sums of theories [5] 4 Case Studies We have so far done case studies on: 1. blending; 2. metaphor; 3. information visualization; 4. proof presentation; and 5. humor. Since the first has already been discussed, and the second is similar to work of Fauconnier and Turner [2] and others, it remains to discuss the last three. 4.1 Information Visualization Visualizing complex data can help to discover, verify and predict patterns, and to quickly locate specific information; but it can be difficult to construct appropriate visualizations. However, visualizations are ....

Gilles Fauconnier and Mark Turner. Conceptual integration networks. Cognitive Science, 22(2):133--187, 1998.

....that all contextual, subjective, and social aspects of knowledge can be eliminated in favor of a unique, objective, and general codification. Despite of this approach, a lot of theories of knowledge consider subjectivity and sociality as intrinsic dimensions of knowledge (see [20] 9] 16] [15], 14] 25] They argue that knowledge is the result of different perspective and partial interpretations of world portions or domains, generated by individuals and groups through social interactions. Therefore, it is proposed that knowledge, rather than being viewed as an absolute monolithic ....

G. Fauconnier. Conceptual Integration Networks. Cognitive Science, 22(2):133-187, 1998.

....of the social nature of signs. Lakoff, Johnson and others have developed the flourishing new field of cognitive linguistics, building on their careful studies of metaphor [15, 14, 16] The cognitive linguists Fauconnier 4 and Turner have introduced the notion of blending conceptual metaphors [1], and demonstrated its importance for many aspects of cognition. A blend is built from two (or more) semiotic morphisms having a common source, called the generic space, with targets called the input spaces, by providing two (or more) semiotic morphisms from the input spaces to a blend space. See ....

Gilles Fauconnier and Mark Turner. Conceptual integration networks. Cognitive Science, 22(2):133--187, 1998.

....of signs and meaning, as well as (via Saussure) the structure of complex signs, though many proponents seem to be covertly Platonist. We have also drawn upon activity theory, with its emphases on historical development, cultural context, and material mediation [5, 41] Cognitive linguistics [21, 8] provides the important notions of conceptual space and blending, and emphasizes the role of metaphor. Actor network theory [23, 3] focuses on the numerous, diverse actors and complex relationships needed to sustain islands of stability in social experience, and also emphasizes the role of ....

....mathematics is grounded in everyday experience; in particular, they demonstrate that the language of mathematics contains many metaphors that are based on image schemas. Before explaining these notions, we first explain a foundational notion, that of conceptual space. The original notion (e.g. in [8]) says that a conceptual space consists of some objects and some relations among them ; to this, I would now add the concepts and methods, in the sense of ethnomethodology, that are relevant to these objects, and sometimes an evolving local state, as is needed for example by geometrical ....

Gilles Fauconnier and Mark Turner. Conceptual integration networks. Cognitive Science, 22(2):133-- 187, 1998.

....Conceptual Blending0 Metaphor Abstract In this paper, we present our most recent work on the integration of different domains of knowledge into a single domain. The construction of this new domain, the Blend, is inspired on the theory of Conceptual Blending, of Fauconnier and Turner, [Fauconnier and Turner, 1998] , and is formalized in detail. As we will discuss later, a blend of two domains won t consist of their sum or juxtaposition. Instead, this new domain will have its own structure and semantics, which, on one side, brings problems of interpretation and validation of emergent concepts, but on ....

....argue that it would be useful to use a multi domain knowledge base in such a way that information from one domain could be transferred and applied in other, different, domain. To be able to do so, it is essential to have some sort of unifying process, as suggested by the Conceptual Blending Theory[Fauconnier and Turner, 1998] . Conceptual Blending (CB) is rapidly emerging as a major force in Cognitive Science, and is increasingly gathering several researchers from a diversity of areas. This theory, which combines a set of processes and principles applied to entities named mental spaces, has brought some new light to ....

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Gilles Fauconnier and Mark Turner. Conceptual integration networks. Cognitive Science, 22(2):133--187, 1998.

....reasoning, while Lakoff and Nunez [16] show that metaphors are the foundation for much of our real world understanding of mathematics. A key aspect of using metaphors is to blend several metaphors into a single conceptual space, as shown in important work by Gilles Fauconnier and Mark Turner [5, 6, 26]. Blending, also called conceptual integration, is done unconsciously and almost instantaneously, so that we hardly notice it happening; nevertheless, it is pervasive and important. Without the capability to process complex blends, agents will never achieve a more than superficial understanding of ....

Gilles Fauconnier and Mark Turner. Conceptual integration networks. Cognitive Science, 22(2):133-- 187, 1998.

....morphisms form a category, in the sense of the rather new branch of mathematics called category theory [15] This leads to many other laws, and concepts such as isomorphism of sign systems, and sum and product of sign systems, as well of representations. 3. 1 Blending Fauconnier and Turner [2] have studied blending of metaphors using conceptual spaces, which are sign systems having only constants and relations. A conceptual blend has two maps with the same source, called the generic space, and with targets called input spaces, combining their features in a blend space, as suggested in ....

....models correspond to sums of theories [5] 4 Case Studies We have so far done case studies on: 1. blending; 2. metaphor; 3. scientific visualization; 4. proof presentation; and 5. humor. Since the first has already been discussed, and the second is similar to work of Fauconnier and Turner [2], it remains to discuss the last three. 4.1 Scientific Visualization Visualizing complex data can help discover, verify and predict patterns; but it can be difficult to construct appropriate visualizations. However, visualizations are representations, and therefore our theory applies to them, ....

Gilles Fauconnier and Mark Turner. Conceptual integration networks. Cognitive Science, 22(2):133--187, 1998.

.... then stop if there are many constructs C= S A Xi that constitute valid operations, verify for which Xi there are more attributes in common with O, execute the corresponding constructs, then stop We acknowledge the existence of different approaches to analogy making and metaphor interpretation [9, 10, 11, 12, 13, 24] that make use of more sophisticated algorithms. Nevertheless, our main purpose here is not natural language interpretation. Instead, we want to provide users with more flexible yet artificial means of expressing instructions to an extensible application. We assume users will not need such complex ....

Fauconnier, G. and Turner, M. "Conceptual Integration Networks". Cognitive Science. Volume 22, number 2 (April-June 1998), pages 133-187.

....reasoning to be mixed in with the sourcebased reasoning. This is discussed in section 3.7.10. We would imagine that on the fly source based inference could be a compatible addition to many current accounts of metaphor, and indeed inference of this type is occasionally briefly discussed (e.g. in: Fauconnier Turner, 1998; Lakoff, 1993) Also, the type of inferencing we have in mind is related to elaborative reasoning within source cases as commonly proposed in the field of case based reasoning (Kolodner, 1993) Metaphor researchers sometimes state that patterns of inference are mapped from the source domain to ....

....uses what we would call a non map enshrined source notion, the understander should somehow bring in a further metaphorical view that does map the notion. On the other hand, our tendency to avoid mapping non map enshrined source items is broadly similar to the selective projection stance of Fauconnier Turner (1998). However, that work does not provide a precise method for selection of what to project from one space to another. 2.2 Main Claims concerning Uncertainty Our detailed attention to uncertainty of reasoning departs from almost all other work on metaphor. Our basic observation on uncertainty is: ....

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Fauconnier, G. & Turner, M. (1998). Conceptual integration networks. Cognitive Science, 22(2), pp.133-- 187.

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Fauconnier, G. and Turner M.: Conceptual Integration Networks. Cognitive Science 22(2), (1998) 133-187

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G. Fauconnier and M. Turner. Conceptual integration networks. Cognitive Science, 22(2):133--187, 1998.

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Fauconnier, G. and Turner M.: Conceptual Integration Networks. Cognitive Science 22(2), (1998) 133-187

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Fauconnier, G. and Turner M.: Conceptual Integration Networks. Cognitive Science 22(2), (1998) 133-187

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Gilles Fauconnier and Mark Turner. Conceptual integration networks. Cognitive Science, 22(2):133--187, 1998.

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Gilles Fauconnier and Mark Turner, Conceptual Integration Networks, Cognitive Science, 1998

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Gilles Fauconnier and Mark Turner. Conceptual integration networks. Cognitive Science, 22(2):133-187, 1998.

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Fauconnier, G. & Turner, M. (1998). Conceptual integration networks. Cognitive Science, 22(2), pp.133--187.

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Fauconnier, G. and M. Turner. "Conceptual Integration Networks." Cognitive Science, (22)2,pp. 133-187.

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Fauconnier, G. and Turner, M. (1998). Conceptual integration networks. Cognitive Science, 22:133--87.

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