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      Dual-Routes and the Cost of Determining Least-Costs

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          Abstract

          Theories of cognition that posit complementary dual-route processes afford better fits to the data when each route explains a part of the data not explained by the other route. However, such theories must also explain why each route is invoked, lest one can fit any data set with enough alternatives. One possible explanation is that route selection is based on a least-cost principle: the route that requires fewer cognitive resources (including time) relative to the goal at hand. We investigated this explanation with a dual-display version of visual search, where the target could be identified via opposing (easy or hard forms of) feature and conjunction search conditions. The data support a contextualized version of the least-cost principle in that the cost of computing least-cost also influences route selection: participants assessed alternatives, but only when the cost of that assessment was relatively low.

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          Most cited references22

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          Guided search: an alternative to the feature integration model for visual search.

          Subjects searched sets of items for targets defined by conjunctions of color and form, color and orientation, or color and size. Set size was varied and reaction times (RT) were measured. For many unpracticed subjects, the slopes of the resulting RT X Set Size functions are too shallow to be consistent with Treisman's feature integration model, which proposes serial, self-terminating search for conjunctions. Searches for triple conjunctions (Color X Size X Form) are easier than searches for standard conjunctions and can be independent of set size. A guided search model similar to Hoffman's (1979) two-stage model can account for these data. In the model, parallel processes use information about simple features to guide attention in the search for conjunctions. Triple conjunctions are found more efficiently than standard conjunctions because three parallel processes can guide attention more effectively than two.
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            A solution to the effect of sample size on outlier elimination

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              Rostrolateral prefrontal cortex involvement in relational integration during reasoning.

              Patient and neuroimaging studies indicate that complex reasoning tasks are associated with the prefrontal cortex (PFC). In this study, we tested the hypothesis that the process of relational integration, or considering multiple relations simultaneously, is a component process of complex reasoning that selectively recruits PFC. We used fMRI to examine brain activation during 0-relational, 1-relational, and 2-relational problems adapted from the Raven's Progressive Matrices and hypothesized that PFC would be preferentially recruited by the 2-relational problem type. Event-related responses were modeled by convolving a canonical hemodynamic response function with the response time (RT) associated with each trial. The results across different analyses revealed the same pattern: PFC activation was specific to the comparison between 2- and 1-relational problems and was not observed in the comparison between 1- and 0-relational problems. Furthermore, the process of relational integration was specifically associated with bilateral rostrolateral PFC (RLPFC; lateral area 10) and right dorsolateral PFC (areas 9 and 46). Left RLPFC showed the greatest specificity by remaining preferentially recruited during 2-relational problems even after comparisons were restricted to trials matched for RT and accuracy. The link between RLPFC and the process of relational integration may be due to the associated process of manipulating self-generated information, a process that may characterize RLPFC function. Copyright 2001 Academic Press.
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                Author and article information

                Contributors
                Journal
                Front Psychol
                Front Psychol
                Front. Psychol.
                Frontiers in Psychology
                Frontiers Media S.A.
                1664-1078
                07 November 2017
                2017
                : 8
                : 1943
                Affiliations
                [1] 1Mathematical Neuroinformatics Group, Human Informatics Research Institute, National Institute of Advanced Industrial Science and Technology , Tsukuba, Japan
                [2] 2Automotive Human Factors Research Center, National Institute of Advanced Industrial Science and Technology , Tsukuba, Japan
                Author notes

                Edited by: David Peebles, University of Huddersfield, United Kingdom

                Reviewed by: Robert J. Lowe, University of Gothenburg, Sweden; Motonori Yamaguchi, Edge Hill University, United Kingdom

                *Correspondence: Steven Phillips steve@ 123456ni.aist.go.jp

                This article was submitted to Cognitive Science, a section of the journal Frontiers in Psychology

                Article
                10.3389/fpsyg.2017.01943
                5681950
                167ae07d-f84a-423f-bae3-1ff4955dfbce
                Copyright © 2017 Phillips, Takeda and Sugimoto.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 21 June 2017
                : 23 October 2017
                Page count
                Figures: 6, Tables: 1, Equations: 0, References: 28, Pages: 10, Words: 7556
                Categories
                Psychology
                Original Research

                Clinical Psychology & Psychiatry
                dual-route,least-cost,feature search,conjunction search,systematicity,universal construction,category theory

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