Many kinds of creativity result from combination of mental representations. This paper provides a computational account of how creative thinking can arise from combining neural patterns into ones that are potentially novel and useful. We defend the hypothesis that such combinations arise from mechanisms that bind together neural activity by a process of convolution, a mathematical operation that interweaves structures. We describe computer simulations that show the feasibility of using convolution to produce emergent patterns of neural activity that can support (...) cognitive and emotional processes underlying human creativity. (shrink)

Conceptual combinations range from the utterly mundane to the sublimely creative. Mundane combinations include a myriad of adjective-noun and noun-noun juxtapositions that crop up in everyday speaking and writing, such as blue car, cooked carrots, and radio phone. Creative combinations include some of the most important theoretical constructions in science, such as sound wave, bacterial infection, and natural selection. Both mundane and creative conceptual combinations are essential to our attempts to make sense of the world and people's utterances about it. (...) This paper will show how the various aspects of conceptual combination discussed by Hampton (this volume), Shoben and Gagn. (shrink)

The principle of compositionality is a statement about the semantics of expressions. It can also be framed slightly differently so that it becomes a principle about the content of complex concepts. This article explains this principle, and the reasons for deviating from it. It will review the psychological research on typicality effects and non-logical reasoning which suggest that explanations can be given for significant phenomena if concepts are understood as prototypes. The evidence suggests that the combination of prototypes follows a (...) principle corresponding to something like PC' rather than PC. PC' states that the content of a complex concept is completely determined by the contents of its parts and their mode of combination, together with general knowledge. A prototype representation of the conjunctive concept is formed by aggregating one feature with another. Any instance is then judged to belong in the conjunction on the basis of its overall similarity to this composite representation. (shrink)

The perception of semantic similarity derives from distinct processes of comparison and integration. A dual process model of conceptual combination claims that attributive combination (e.g., umbrella tree) entails comparison, while relational combination (e.g., pancake spatula) requires integration. The present research uses similarity as a test of this dual process model. Participants (N = 168) were presented attributive and relational conceptual combinations. Half of the participants interpreted the combinations before rating the similarity of their constituent concepts, while the other half provided (...) similarity ratings without interpreting the concepts together. The experiment revealed that attributive combination decreased the perceived similarity of the constituent concepts, whereas relational combination increased the similarity of the constituents. This result indicates that attributive and relational combination occur via distinct processes. Results of a post‐test (N = 60) suggested that these effects were specific to the particular concepts compared or integrated, and do not generalize to other concepts not compared or integrated. The present research thus supported a dual process model of conceptual combination by demonstrating differential effects of comparison and integration on the perception of semantic similarity. (shrink)

This paper describes a theory that explains both the creativity and the efficiency of people's conceptual combination. In the constraint theory, conceptual combination is controlled by three constraints of diagnosticity, plausibility, and informativeness. The constraints derive from the pragmatics of communication as applied to compound phrases. The creativity of combination arises because the constraints can be satisfied in many different ways. The constraint theory yields an algorithmic model of the efficiency of combination. The C3 model admits the full creativity of (...) combination and yet efficiently settles on the best interpretation for a given phrase. The constraint theory explains many empirical regularities in conceptual combination, and makes various empirically verified predictions. In computer simulations of compound phrase interpretation, the C3 model has produced results in general agreement with people's responses to the same phrases. (shrink)

Plausibility has been implicated as playing a critical role in many cognitive phenomena from comprehension to problem solving. Yet, across cognitive science, plausibility is usually treated as an operationalized variable or metric rather than being explained or studied in itself. This article describes a new cognitive model of plausibility, the Plausibility Analysis Model (PAM), which is aimed at modeling human plausibility judgment. This model uses commonsense knowledge of concept‐coherence to determine the degree of plausibility of a target scenario. In essence, (...) a highly plausible scenario is one that fits prior knowledge well: with many different sources of corroboration, without complexity of explanation, and with minimal conjecture. A detailed simulation of empirical plausibility findings is reported, which shows a close correspondence between the model and human judgments. In addition, a sensitivity analysis demonstrates that PAM is robust in its operations. (shrink)