Scale-free architectures support representational diversity

2020 ◽  
Vol 43 ◽  
Author(s):  
Chris Fields ◽  
James F. Glazebrook

Abstract Gilead et al. propose an ontology of abstract representations based on folk-psychological conceptions of cognitive architecture. There is, however, no evidence that the experience of cognition reveals the architecture of cognition. Scale-free architectural models propose that cognition has the same computational architecture from sub-cellular to whole-organism scales. This scale-free architecture supports representations with diverse functions and levels of abstraction.

2020 ◽  
Vol 40 (5-6) ◽  
pp. 576-580 ◽  
Author(s):  
Sara Finley

In this commentary, I discuss why, despite the existence of gradience in phonetics and phonology, there is still a need for abstract representations. Most proponents of exemplar models assume multiple levels of abstraction, allowing for an integration of the gradient and the categorical. Ben Ambridge’s dismissal of generative models such as Optimality Theory (OT) is problematic because OT not only allows for the abstract, but can also handle a variety of phenomena, including gradient representations, and similarity among output forms.


2010 ◽  
Vol 2 (2) ◽  
pp. 108-127 ◽  
Author(s):  
Christopher Myers ◽  
Kevin Gluck ◽  
Glenn Gunzelmann ◽  
Michael Krusmark

Validating Computational Cognitive Process Models across Multiple TimescalesModel comparison is vital to evaluating progress in the fields of artificial general intelligence (AGI) and cognitive architecture. As they mature, AGI and cognitive architectures will become increasingly capable of providing a single model that completes a multitude of tasks, some of which the model was not specifically engineered to perform. These models will be expected to operate for extended periods of time and serve functional roles in real-world contexts. Questions arise regarding how to evaluate such models appropriately, including issues pertaining to model comparison and validation. In this paper, we specifically address model validation across multiple levels of abstraction, using an existing computational process model of unmanned aerial vehicle basic maneuvering to illustrate the relationship between validity and timescales of analysis.


2020 ◽  
Vol 43 ◽  
Author(s):  
Valerie F. Reyna ◽  
David A. Broniatowski

Abstract Gilead et al. offer a thoughtful and much-needed treatment of abstraction. However, it fails to build on an extensive literature on abstraction, representational diversity, neurocognition, and psychopathology that provides important constraints and alternative evidence-based conceptions. We draw on conceptions in software engineering, socio-technical systems engineering, and a neurocognitive theory with abstract representations of gist at its core, fuzzy-trace theory.


2017 ◽  
Vol 31 (6) ◽  
pp. 647-654 ◽  
Author(s):  
David Lévesque ◽  
Serge Sévigny ◽  
Isabelle Giroux ◽  
Christian Jacques
Keyword(s):  

2007 ◽  
Author(s):  
Roi Cohen Kadosh ◽  
Kathrin Cohen Kadosh ◽  
Amanda Kaas ◽  
Avishai Henik ◽  
Rainer Goebel

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