How Can the Human Mind Occur in the Physical Universe

By John R. Anderson. 2007

1,444 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Cognitive Neuroscience, Computational Theory and Mathematics

View Paper: https://www.semanticscholar.org/paper/b8117b3c652e40e317250b4ba82225ece7b4a980

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Citations in the corpus

Biologically Plausible, Human-scale Knowledge Representation (2016, background): “This same concern is not as immediate for a symbolicist approach which typically takes structured representations to be primitive (Anderson, 2007).”
Unpacking the Exploration–Exploitation Tradeoff: A Synthesis of Human and Animal Literatures (2015, background): “This might be due to the exaptation of search strategies originally evolved from external search to internal search (Hills, 2006), and relatedly to the fact that the structure of information in memory typically reflects the structure of information in the environment (Anderson, 2007).”
Practice Enables Successful Learning Under Minimal Guidance (2009, methodology): “We used the tutoring system described in Anderson (2007),”
Executive functions and the generation of “random” sequential responses: A computational account (2016, methodology): “See Baddeley (1966), Towse (1998) and Jahanshahi et al. (2000, 2006), and for a review of earlier work see Tunes (1964), Wagenaar (1972) and Brugger (1997).”
An Empirical Examination of the Educational Impact of Text Message-Induced Task Switching in the Classroom: Educational Implications and Strategies to Enhance Learning (2011, methodology): “The crux of the model is based on ACT-R architecture (Anderson, 2007) which posits that information is processed by relatively independent but interacting modules including: (a) a declarative memory module that handles factual knowledge, task instructions and episodic information; (b) a goal module ”
Facebook and texting made me do it: Media-induced task-switching while studying (2013, methodology): “Although it is well-established in the experimental psychology literature that engaging in an extra (non-media) task during intentional learning results in significant memory disruptions in the laboratory (Baddeley, Lewis, Eldridge, & Thomson, 1984; Craik, Govoni, Naveh-Benjamin, & Anderson, 1996; J”
Symbol Interdependency in Symbolic and Embodied Cognition (2011, methodology): “Many computer models fit the label of symbolic cognitive models, including ACT-R (Anderson, 2007), CAPS (Just & Carpenter, 1992), CLARION (Sun & Peterson, 1997), Epic (Meyer & Kieras, 1997), and Soar (Newell, 1990). The focus in this article will not be on these cognitive architectures, but instead ”
Relation learning in a neurocomputational architecture supports cross-domain transfer (2019, background): “We take this capacity to imply that the human neural computing architecture (a) represents relations as neurons that respond specifically to the relations or relational roles, and (b) binds relational roles to their arguments dynamically—that is, on the fly, and without fundamentally altering the re”
A Moderate Approach to Embodied Cognitive Science (2012, background): “The Massive Redeployment Hypothesis "Massive redeployment hypothesis" is the name Michael Anderson (2007a, 2008, 2010) gives to a postulated principle of the mind.”
Cognitive computing for coalition situational understanding (2017, background): “There is a sizeable literature on cognitive architectures that attempt to operationalise theories of human cognition in computer systems — of which some of the best known are ACT-R [3] and SOAR [4] — but as yet there is no consensus that cognitive architectures offer the most appropriate means of en”