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  1. Towards a general model of applying science.Rens Bod - 2006 - International Studies in the Philosophy of Science 20 (1):5 – 25.
    How is scientific knowledge used, adapted, and extended in deriving phenomena and real-world systems? This paper aims at developing a general account of 'applying science' within the exemplar-based framework of Data-Oriented Processing (DOP), which is also known as Exemplar-Based Explanation (EBE). According to the exemplar-based paradigm, phenomena are explained not by deriving them all the way down from theoretical laws and boundary conditions but by modelling them on previously derived phenomena that function as exemplars. To accomplish this, DOP proposes to (...)
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  • Getting Rid of Derivational Redundancy or How to Solve Kuhn’s Problem.Rens Bod - 2007 - Minds and Machines 17 (1):47-66.
    This paper deals with the problem of derivational redundancy in scientific explanation, i.e. the problem that there can be extremely many different explanatory derivations for a natural phenomenon while students and experts mostly come up with one and the same derivation for a phenomenon (modulo the order of applying laws). Given this agreement among humans, we need to have a story of how to select from the space of possible derivations of a phenomenon the derivation that humans come up with. (...)
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  • Integrating analogical mapping and general problem solving: the path‐mapping theory.Dario D. Salvucci & John R. Anderson - 2001 - Cognitive Science 25 (1):67-110.
    This article describes the path‐mapping theory of how humans integrate analogical mapping and general problem solving. The theory posits that humans represent analogs with declarative roles, map analogs by lower‐level retrieval of analogous role paths, and coordinate mappings with higher‐level organizational knowledge. Implemented in the ACT‐R cognitive architecture, the path‐mapping theory enables models of analogical mapping behavior to incorporate and interface with other problem‐solving knowledge. Path‐mapping models thus can include task‐specific skills such as encoding analogs or generating responses, and can (...)
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  • Toward an Instructionally Oriented Theory of Example‐Based Learning.Alexander Renkl - 2014 - Cognitive Science 38 (1):1-37.
    Learning from examples is a very effective means of initial cognitive skill acquisition. There is an enormous body of research on the specifics of this learning method. This article presents an instructionally oriented theory of example-based learning that integrates theoretical assumptions and findings from three research areas: learning from worked examples, observational learning, and analogical reasoning. This theory has descriptive and prescriptive elements. The descriptive subtheory deals with (a) the relevance and effectiveness of examples, (b) phases of skill acquisition, and (...)
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  • Feminist Philosophy of Science.Lynn Hankinson Nelson - 2002 - In Peter Machamer & Michael Silberstein (eds.), The Blackwell Guide to the Philosophy of Science. Oxford, UK: Blackwell. pp. 312–331.
    This chapter contains sections titled: Highlights of Past Literature Current Work Future Work.
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  • Uncovering the course of analogical mapping using eye tracking.Bartłomiej Kroczek, Iwona Ciechanowska & Adam Chuderski - 2022 - Cognition 225 (C):105140.
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  • Analogical model formulation for transfer learning in AP Physics.Matthew Klenk & Ken Forbus - 2009 - Artificial Intelligence 173 (18):1615-1638.
  • Resources for Research on Analogy: A Multi-disciplinary Guide.Marcello Guarini, Amy Butchart, Paul Simard Smith & Andrei Moldovan - 2009 - Informal Logic 29 (2):84-197.
    Work on analogy has been done from a number of disciplinary perspectives throughout the history of Western thought. This work is a multidisciplinary guide to theorizing about analogy. It contains 1,406 references, primarily to journal articles and monographs, and primarily to English language material. classical through to contemporary sources are included. The work is classified into eight different sections (with a number of subsections). A brief introduction to each section is provided. Keywords and key expressions of importance to research on (...)
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  • Extending SME to Handle Large‐Scale Cognitive Modeling.Kenneth D. Forbus, Ronald W. Ferguson, Andrew Lovett & Dedre Gentner - 2017 - Cognitive Science 41 (5):1152-1201.
    Analogy and similarity are central phenomena in human cognition, involved in processes ranging from visual perception to conceptual change. To capture this centrality requires that a model of comparison must be able to integrate with other processes and handle the size and complexity of the representations required by the tasks being modeled. This paper describes extensions to Structure-Mapping Engine since its inception in 1986 that have increased its scope of operation. We first review the basic SME algorithm, describe psychological evidence (...)
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  • Textual examples in idea generation phase of design process: Creativity and fixation.Serkan Can Hatıpoğlu - 2019 - Dissertation, Istanbul Technical University
    During the idea generation phase of the design process, designers often search for inspirations in external sources of information, such as photographs, written descriptions and physical examples. These sources have potential to enhance creative performance. However, they sometimes become too attached to particular ideas of external precedents or various examples. It refers to fixation which is identified as inadequate adoption of features from existing examples. Influence of the existing examples on creativity and fixation, specifically textual examples, have been discussed in (...)
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  • The design of self-explanation prompts: The fit hypothesis.Robert Gm Hausmann, Timothy J. Nokes, Kurt VanLehn & Sophia Gershman - 2009 - In N. A. Taatgen & H. van Rijn (eds.), Proceedings of the 31st Annual Conference of the Cognitive Science Society.
     
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  • The order matters: sequencing strategies in example-based learning.Julia Murböck - 2018 - Dissertation, Ludwig Maximilians Universität, München
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