Discovering Complexity: Decomposition and Localization as Strategies in Scientific Research

By William Bechtel, Robert C. Richardson. 2010

916 citations recorded by the source corpus.

Subfields: Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/78f25ef0aaad5ab6c5309d62d3100cdcb690464e

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In Management Science and Operations Research

Citations in the corpus

On reverse engineering in the cognitive and brain sciences (2012, background): “Understating the case, the localization approach has been described as hypothetical identification which is to serve as research heuristics [14].”
Solving the Black Box Problem: A Normative Framework for Explainable Artificial Intelligence (2019, background): “That said, it would be a mistake to think that localization in cognitive science is typically “ direct ” in the sense of affording simple one-to-one mappings between the individual steps of a process and the parts of an underlying physical structure (Bechtel and Richardson 1993).”
Beyond Reduction and Pluralism: Toward an Epistemology of Explanatory Integration in Biology (2010, background): “An important body of literature is accounts of explanations in terms of mechanisms in experimental biology, in particular cell biology (Bechtel 1986, 2006; Bechtel and Richardson 1993; Craver 2005; Darden 2006).”
The brain basis of emotion: A meta-analytic review (2012, neutral): “In this sense, emotion and cognition are functionally integrated systems, namely, they more or less continuously impact each other’s operations (Bechtel & Richardson 2010).”
On the relationship between emotion and cognition (2008, neutral): “We end this section by recasting our discussion in terms of 'decomposable' and 'nondecomposable' system”
The Nature of Dynamical Explanation* (2011, background): “…is not always feasible; scientists frequently have to find more roundabout ways of showing that a given collection of operations is actually realized in the system from which the target phenomenon arises (for discussion, see Bechtel and Richardson 1993; Bechtel and Abrahamsen 2005; Craver 2007).”
Thinking Again about Biological Mechanisms (2008, background): “A General Research Board Award from the University of Maryland supported this work. and cell biology (Bechtel and Richardson 1993; Bechtel 2006).”
Routing Networks and the Challenges of Modular and Compositional Computation (2019, background): “Modular organization is central in research strategies in cognitive sciences, particularly in neuropsychology, where decomposition and localization emerge as crucial scientific research strategies [Bechtel and Richardson, 2010].”
The Cognitive Neuroscience of Creativity: A Critical Review (2011, background): “But with higher cognitive functions such as problem solving, language, decision making, memory, and creativity, one’s thoughts and behaviors are emergent complex phenomena: they involve many distinct neural groups, scattered throughout the brain (Bechtel & Richardson, 1993).”
Explanation in Biology: Reduction, Pluralism, and Explanatory Aims (2011, neutral): “There is not necessarily a single overarching mathematical theory for evolutionary biology; rather, evolutionary genetics is best viewed as consisting of a set of overlapping mathematical models (Lloyd 1994).”
The magical number two, plus or minus: Dual-process theory as a theory of cognitive kinds (2009, background): “interactions of their parts ( Bechtel & Richardson, 1993 ).”
The Routledge Handbook of Mechanisms and Mechanical Philosophy (2017, background): “…first introduced the notion of mechanistic explanation, albeit noting that this notion was extended when the technological context evolved (Bechtel and Richardson, 2010, pp. 17–18; Bechtel, 2011, pp. 534–6; but note that Craver and Darden, 2013, pp. 15–16 suggest we should distinguish…”