title: Moving beyond computational cognitivism: understanding intentionality, intersubjectivity and ecology of mind.
abstract: The emergence of the Cognitive Sciences, in the middle of the 20th Century, was initially based on an abstract model of the mind: the computer metaphor. The human mind was understood in analogy to the digital computer, as a rule-based, symbol processor. As a consequence, the human being was envisioned as logically-rationally guided, radically disembodied and isolated from culture. Over the last few decades, several disciplines, such as Biology, Mathematics, Philosophy, Psychology and Neuroscience, have begun to address the study of intentionality, intersubjectivity and natural cognition. Searching for a better understanding of these complex issues, a number of approaches have been developed with the promise of capturing the specific qualities of human cognition, radically omitted from a computationalist view of mind. Nevertheless, since these research programs are rather recent, concrete methodological designs and empirical approaches in the form of experimentally testable hypotheses are still scarce. This special issue brings together several perspectives in order to propose alternative research approaches in the topics of Intentionality, Intersubjectivity and Ecology of Mind. We believe it is necessary to discuss and advance towards explicit empirical frames in the form of actual experiments, specific predictions and formal models. The essays presented here constitute an attempt to move in this direction, with the specific aim of reconsidering the study of some forgotten properties of brain and mind.
authors.forename: Agustín
authors.initials: A
authors.lastname: Ibáñez
authors.forename: Diego
authors.initials: D
authors.lastname: Cosmelli
mesh_terms: D001185:Artificial Intelligence; D003071:Cognition / Q000502:physiology*; D019336:Cognitive Science / Q000379:methods; D003469:Culture; D036262:Empirical Research; D006801:Humans; D033182:Intention; D019222:Mind-Body Relations, Metaphysical / Q000502:physiology; D008959:Models, Neurological; D012107:Research Design