The Computational Theory of Mind — the thesis that cognition is fundamentally information processing of the kind instantiated in digital computers, and that mental states are functional or representational states defined by their computational roles — enters the depth-psychology corpus primarily as a foil against which richer, more embodied, and more affectively grounded accounts of mind are developed. Thompson’s enactivist critique is the most sustained: he traces the ‘classical model’ from the cognitive revolution of the 1950s through its symbol-manipulating formalism, cataloguing its explanatory debts and its failure to bridge the ‘mind-mind problem’ — the gap between computational states and phenomenal experience. Damasio mounts a complementary challenge from affective neuroscience, arguing that the ‘entrenched dualism’ exploited by the computational sciences must give way to a biologically integrated view in which feeling, not formal computation, anchors mental life. Panksepp concurs, noting that computational approaches to mind neglect the emotional substrates from which cognition emerges. Bryant finds a striking structural parallel in Yoga philosophy: the citta, as an unconscious, representational mechanism, can be characterized as computational — a convergence that exposes the parochialism of assuming the computational paradigm is distinctively Western or modern. Khalsa and Barrett represent a newer wave that does not abandon computation but reframes it through predictive, Bayesian architectures, dissolving the hard boundary between symbol manipulation and biological self-regulation. The corpus thus ranges from outright rejection to critical rehabilitation, making the term a live site of theoretical contest.
the computer model of mind, now known as the classical conception of cognitive processes. According to this classical model, cognition is information processing after the fashion of the digital computer.
Thompson identifies the Computational Theory of Mind with the ‘classical model’ of the cognitive revolution and subjects it to sustained critique throughout his enactivist account.
, Mind in Life: Biology, Phenomenology, and the Sciences of Mind, 2007thesis
The cognitivist metaphor of the mind as computer, which was meant to solve the computational mind-body problem, thus came at the cost of creating a new problem, the mind-mind problem.
Thompson argues that the Computational Theory of Mind resolves the question of how brains reason only by generating a harder problem — the gap between computational states and phenomenal consciousness.
, Mind in Life: Biology, Phenomenology, and the Sciences of Mind, 2007thesis
The entrenched dualism that began in Athens, was grandfathered by Descartes, resisted Spinoza’s broadside, and has been fiercely exploited by the computational sciences is a position whose time has passed.
Damasio charges the computational sciences with perpetuating Cartesian dualism and calls for a biologically integrated account of mind that supplants the computational paradigm.
, The strange order of things life, feeling, and the making, 2018thesis
Since the citta in Yoga is an unconscious mechanism which manipulates the representational structures involved in perception, it can be characterized as computational.
Bryant, following Schweizer, draws a structural parallel between the Yogic citta as unconscious representational mechanism and the computational model, while noting that subjective experience remains theoretically extraneous to both.
, The Yoga Sutras of Patanjali: A New Edition, Translation, and Commentary, 2009supporting
These patterns are not symbols in the traditional computational sense, although they are supposed to be approximately describable in symbolic terms.
Thompson shows how connectionist neural networks deviate from classical computational symbol-systems, marking an internal critique within cognitive science of the Computational Theory of Mind.
, Mind in Life: Biology, Phenomenology, and the Sciences of Mind, 2007supporting
Computational approaches to mind, 340 Computer analogies, 20, 32, 61-62, 81, 318
Panksepp indexes computational approaches to mind in explicit contrast to emotion-based and computer-analogy frameworks, signalling his affective neuroscience as an alternative orientation.
, Affective Neuroscience The Foundations of Human and Animal, 1998supporting
a hierarchical Bayesian perspective unifies interoception and homeostatic/allostatic control under the same computational principles. This provides a conceptual foundation for computational psychosomatics.
Khalsa rehabilitates a computational framework — hierarchical Bayesian inference — by extending it to bodily regulation and psychosomatic phenomena, departing from classical symbol-processing models.
, Interoception and Mental Health: A Roadmap, 2018supporting
a hierarchical Bayesian perspective unifies interoception and homeostatic/allostatic control under the same computational principles. This provides a conceptual foundation for computational psychosomatics.
A near-duplicate passage confirming the Bayesian computational reframing of interoception as an alternative to classical computational models of mind.
, Interoception and Mental Health: A Roadmap, 2018supporting
The brain is all we have for the purpose of representing the world to ourselves and everything we can use must be inside the brain. Each of us is precisely a brain in a vat.
Thompson critiques the internalist representationalist assumption embedded in computational accounts, arguing that cognition is not brain-bound but embodied and environmentally extended.
, Mind in Life: Biology, Phenomenology, and the Sciences of Mind, 2007supporting
The Computational Brain: Models and Methods on the Frontiers of Computational Neuroscience.
Damasio cites Churchland and Sejnowski’s computational neuroscience as a bibliographic marker situating his own affective critique relative to the computational tradition.
, Descartes’ Error: Emotion, Reason, and the Human Brain, 1994aside