Cognitive Recycling
Bibliographic Data
| ID | 8399284 |
|---|---|
| Authors | David L Barack (0000-0001-7131-4638, Columbia University, corresponding author) |
| Year | 2019 |
| Volume | 70 |
| Issue | 1 |
| Pages | 239-268 |
| Publication date | 2019-03-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | The British Journal for the Philosophy of Science (JOURNAL) |
| Journal identifiers | ISSN: 0007-0882 • E-ISSN: 1464-3537 |
| Publisher | Oxford University Press (PUBLISHER • GB) |
| DOI | 10.1093/bjps/axx024 |
| OpenAlex | W4238778135 |
| Language | EN |
| Citations received | 5 |
| References cited | 60 |
Theories in cognitive science, and especially cognitive neuroscience, often claim that parts of cognitive systems are reused for different cognitive functions. Philosophical analysis of this concept, however, is rare. Here, I first provide a set of criteria for an analysis of reuse, and then I analyse reuse in terms of the functions of subsystems. I also discuss how cognitive systems execute cognitive functions, the relation between learning and reuse, and how to differentiate reuse from related concepts like multi-use, redundancy, and duplication of parts. Finally, I illustrate how my account captures the reuse of dynamical subsystems as unveiled by recent research in cognitive neurobiology. This recent research suggests two different evolutionary justifications for reuse claims. 1 Introduction2 Criteria for Analyses of Reuse3 Use and Reuse4 The Reuse of Dynamical Systems in Cognitive Systems5 Conclusion
Cognition · Cognitive science · Data mining · Management science · Rational analysis · Redundancy (engineering) · Relation (database) · Reuse · Set (abstract data type) · Computer Science · Embodied and Extended Cognition · Engineering · Neuroscience · Philosophy and History of Science · Psychology
Vision
After Phrenology
Computation and Cognition
Neural reuse
The Brain's concepts
Adaptation and the Form-Function Complex
Optimal foraging, the marginal value theorem
Functional Analysis
Exaptation—a Missing Term in the Science of Form
The time course of perceptual choice
A unifying computational framework for motor control and social interaction
The Neural Basis of Decision Making
Dissociating the Role of the Dorsolateral Prefrontal and Anterior Cingulate Cortex in Cognitive Control
The Expected Value of Control
Massive redeployment, exaptation, and the functional integration of cognitive operations
Functions as Selected Effects
Thinking about Mechanisms
The Brain’s Heterogeneous Functional Landscape
Do Causal Powers Drain Away
Marr on Computational-Level Theories
| Unique citing works | 5 |
|---|---|
| Citations per year | 0.83 |
| Citation span | 2020 - 2025 (6) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 5 |