Computation and cognition: toward a foundation for cognitive science
Computation and cognition: toward a foundation for cognitive science
Artificial intelligence: the very idea
Artificial intelligence: the very idea
SOAR: an architecture for general intelligence
Artificial Intelligence
Parallel distributed processing: explorations in the microstructure of cognition, vol. 1: foundations
Modern heuristic techniques for combinatorial problems
Modern heuristic techniques for combinatorial problems
Combinatorial optimization
The Architecture of Cognition
Artificial Intelligence: A Modern Approach
Artificial Intelligence: A Modern Approach
Human Problem Solving
Levels of functional equivalence in reverse bioengineering
Artificial Life
The Discovery of the Artificial: Behavior, Mind and Machines Before and Beyond Cybernetics
The Discovery of the Artificial: Behavior, Mind and Machines Before and Beyond Cybernetics
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The aim of this paper is to introduce some methodological issues about cognitive explanatory power of AI systems. We use the new concept of mesoscopic functionalismwhich is based on links between computational complexity theory and functionalism. This functionalism tries to introduce an unique intermediate, mesoscopic,descriptive level based on the key role of heuristics. The enforcement of constraints at this level can assure a cognitive explanatory power which is not guaranteed from mere selection of modelling technique. So we reconsider the discussions about empirical underdetermination of AI systems, proposed especially for classical systems, and about the research of the "right and unique" technique for cognitive modelling. This allows us to consider the several mainstreams of cognitive artificial intelligence as different attempts to resolve underdetermination and thus, in a way, we can unify them as a manifestation of scientific pluralism.