Title
Cognitive paradigms: which one is the best?
Abstract
I discuss the suitability of different paradigms for studying cognition. I use a virtual laboratory that implements five different representative models for controlling animats: a rule-based system, a behaviour-based system, a concept-based system, a neural network, and a Braitenberg architecture. Through different experiments, I compare the performance of the models and conclude that there is no ''best'' model, since different models are better for different things in different contexts. Using the results as an empirical philosophical aid, I note that there is no ''best'' approach for studying cognition, since different paradigms have all advantages and disadvantages, since they study different aspects of cognition from different contexts. This has implications for current debates on ''proper'' approaches for cognition: all approaches are a bit proper, but none will be ''proper enough''. I draw remarks on the notion of cognition abstracting from all the approaches used to study it, and propose a simple classification for different types of cognition.
Year
DOI
Venue
2004
10.1016/j.cogsys.2003.10.002
Cognitive Systems Research
Keywords
Field
DocType
different paradigm,different model,neural networks,different experiment,braitenberg architectures,different thing,different type,different representative model,cognition,concept-based,rule-based,different context,different aspect,behaviour-based,cognition abstracting,virtual laboratory,behaviour-based system,modelling,cognitive paradigm,neural network,rule based,rule based system
Virtual Laboratory,Rule-based system,Architecture,Cognitive science,Computer science,Cognitive psychology,Animat,Artificial intelligence,Artificial neural network,Cognition,Machine learning
Journal
Volume
Issue
ISSN
5
2
Cognitive Systems Research
Citations 
PageRank 
References 
12
1.15
25
Authors
1
Name
Order
Citations
PageRank
Carlos Gershenson139242.34