Vision for Cognitive Systems: A New Compound Concept Connecting Natural Scenes with Cognitive Models

Author(s):  
Peter Michael Goebel ◽  
Markus Vincze
2014 ◽  
Vol 281 (1781) ◽  
pp. 20133056 ◽  
Author(s):  
James M. Yearsley ◽  
Emmanuel M. Pothos

All mental representations change with time. A baseline intuition is that mental representations have specific values at different time points, which may be more or less accessible, depending on noise, forgetting processes, etc. We present a radical alternative, motivated by recent research using the mathematics from quantum theory for cognitive modelling. Such cognitive models raise the possibility that certain possibilities or events may be incompatible, so that perfect knowledge of one necessitates uncertainty for the others. In the context of time-dependence, in physics, this issue is explored with the so-called temporal Bell (TB) or Leggett–Garg inequalities. We consider in detail the theoretical and empirical challenges involved in exploring the TB inequalities in the context of cognitive systems. One interesting conclusion is that we believe the study of the TB inequalities to be empirically more constrained in psychology than in physics. Specifically, we show how the TB inequalities, as applied to cognitive systems, can be derived from two simple assumptions: cognitive realism and cognitive completeness. We discuss possible implications of putative violations of the TB inequalities for cognitive models and our understanding of time in cognition in general. Overall, this paper provides a surprising, novel direction in relation to how time should be conceptualized in cognition.


2011 ◽  
Vol 34 (4) ◽  
pp. 207-207 ◽  
Author(s):  
Arthur B. Markman ◽  
A. Ross Otto

AbstractCognitive models focus on information and the computational manipulation of information. Rational models optimize the function that relates the input of a process to the output. In contrast, efficient algorithms minimize the computational cost of processing in terms of time. Minimizing time is a better criterion for normative models, because it reflects the energy costs of a physical system.


1995 ◽  
Author(s):  
S.N. Yendrikhovskij ◽  
H. DE Ridder ◽  
E.A. Fedorovskaya

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