David Corfield tous

Idea

We are hierarchical dynamical systems making sense of and making our world through active inference or recursive relevance relisation. Opposing but complementary pathways of top-down and bottom-up.

Optimal grip is maximising efficacy.

Psychoanalysis explores the many ways early training has us caught in suboptimal patterns, especially where opponent processing has become unhelpful.

Now can category theory say anything to this? It is to active inference.

Category theory – active inference; active inference – psychoanalysis; psychoanalysis – relevance realization; relevance realization – active inference.

But then what is emergence via association of people?

Hierarchical dynamical systems, emergence and emanation, Vervaeke, deficits, polynomial functors, deep learning, causality here

Psychodynamics, analytic psychology.

What if problems with adaptive learning is at stake? Fixed sub-optimal solutions from childhood.

What is it to find a new framing, a new integration? The imaginal.

Cognitive science and biology meets emergence

Emergence (generative effect) - lax functors (Brendan Fong and David I. Spivak, An invitation to applied category theory: Seven sketches in compositionality). Nils Baas.

  • František Baluška, Michael Levin On Having No Head: Cognition throughout Biological Systems, Front. Psychol., 21 June 2016 Sec. Cognitive Science Volume 7 - 2016 | https://doi.org/10.3389/fpsyg.2016.00902

  • Giovanni Pezzulo and Michael Levin, Top-down models in biology: explanation and control of complex living systems above the molecular level, https://doi.org/10.1098/rsif.2016.0555

  • Denis Noble, George Ellis, Biological Relativity Revisited: the Pre-Eminent Role of Values (Open Access) DOI: 10.19272/202211402004, THEORETICAL BIOLOGY FORUM 1-2/2022, 45-69.

Emergence and emanation

  • Pedro Medino et al., Greater than the parts: a review of the information decomposition approach to causal emergence, Philos Trans A Math Phys Eng Sci. July 11, 2022; 380(2227): 20210246., doi: 10.1098/rsta.2021.0246

  • Erik Hoel

Twitter thread on using Puca er al to get at non-compositionality.

Cognitive science meets psychoanalysis

Anderson Todd. Vervaeke on Jung.

Psychoanalysis meets active learning

  • Jeremy Holmes, Friston’s free energy principle: new life for psychoanalysis?, BJPsych Bulletin , Volume 46 , Issue 3 , June 2022 , pp. 164 - 168, (article)

  • Jeremy Holmes, The Brain Has a Mind of Its Own: Attachment, Neurobiology, and the New Science of Psychotherapy

  • Patrick Connolly, Expected Free Energy Formalizes Conflict Underlying Defense in Freudian Psychoanalysis, Front Psychol. 2018; 9: 1264. doi: 10.3389/fpsyg.2018.01264

  • Jim Hopkins, Free Energy and Virtual Reality in Neuroscience and Psychoanalysis: A Complexity Theory of Dreaming and Mental Disorder, Front. Psychol., 15 July 2016 Sec. Cognitive Science Volume 7 - 2016 doi:10.3389/fpsyg.2016.00922

  • Jeremy Holmes, Tobias Nolte, “Surprise” and the Bayesian Brain: Implications for Psychotherapy Theory and Practice, Front. Psychol., 28 March 2019 Sec. Psychoanalysis and Neuropsychoanalysis Volume 10 - 2019 | https://doi.org/10.3389/fpsyg.2019.00592

  • D. Eric Chamberlin, The Active Inference Model of Coherence Therapy, Front. Hum. Neurosci., 04 January 2023 Sec. Cognitive Neuroscience Volume 16 - 2022 | https://doi.org/10.3389/fnhum.2022.955558

  • Matthew John Mellor, Making Worlds in a Waking Dream: Where Bion Intersects Friston on the Shaping and Breaking of Psychic Reality Front. Psychol., 27 September 2018, Sec. Psychoanalysis and Neuropsychoanalysis Volume 9 - 2018 | https://doi.org/10.3389/fpsyg.2018.01674

Ps↔D as reflecting the process of moving between psychic “disintegration and reintegration,” and “solve et coagula” Todd to Vervaeke.

Solms

Seven emotional drives. Premature automatization.

Qualia and different valences of needs.

Active learning meets category theory

  • Sean Tull, Johannes Kleiner, Toby St Clere Smithe, Active Inference in String Diagrams: A Categorical Account of Predictive Processing and Free Energy (arXiv:2308.00861)

Active learning meets relevance realization

  • Brett P. Andersen, Mark Miller & John Vervaeke, Predictive processing and relevance realization: exploring convergent solutions to the frame problem, Phenomenology and the Cognitive Sciences:1-22

Coincidentia Oppositorum

The autonomic nervous system provides an example of opponent processing that may serve to clarify the concept. The two parts of the autonomic nervous system – the sympathetic and parasympathetic systems – are in an opponent-processing relationship with each other. The sympathetic nervous system activates the flight or fight response, putting the body in a state of high alert when necessary. The parasympathetic nervous system is involved in returning the body to a state of calm. Thus, two systems which are (in some sense) pitted against each other are necessary for the regulation of arousal. Dysfunction in either system leads to dysregulated arousal. The regulation of what we find relevant is similar to this process in that RR also entails systems and goals which are pitted against each other in an opponent processing relationship.

The tradeoffs inherent to RR are (a) the tradeoff between exploration and exploitation, (b) the tradeoff between specialization and generalization, and (c) the tradeoff between focusing and diversifying. There is also a higher-order tradeoff between efficiency and resiliency which encompasses the three lower-order tradeoffs. (Predictive processing and relevance realization: exploring convergent solutions to the frame problem, Brett P. Andersen, Mark Miller, John Vervaeke, Phenomenology and the Cognitive Sciences https://doi.org/10.1007/s11097-022-09850-6, p. 4)

With its self‐organizing criticality the brain engages in a kind of on‐going opponent processing between integration and differentiation of information processing. This means that the brain is constantly complexifying (simultaneously integrating as a system while [differentiating] its component parts) its processing as a way of continually adapting to a dynamically complex environment[…] The brain is thus constantly transcending itself in its ability to realize relevant information. (Vervaeke & Ferraro, 2013 p. 11)

If Hegel speaks of a subjective and an objective logic, what of a transjective logic?

“Bayesian mechanics is premised on the conjugation of the dynamics of the beliefs of a system (i.e. their time evolution in a space of beliefs) and the physical dynamics of the system encoding those beliefs (i.e. their time evolution in a space of possible states of trajectories)[2,6]; the resulting mathematical structure is known as a ‘conjugate information geometry’ in [1], where one should note that ‘conjugate’ is a synonym for ‘adjoint’ or‘dual’.” (Bayesian mechanics) (My tweet thread, seems to be a Fenichel-Legendre duality)

Virtual generator + virtual governor = virtual engine

There are constraints that make a form of event, a type of event more possible. She calls those “Enabling Constraints. And then there are constraints that reduce the possibilities, reduce the options for a system. These are the selected or ”Selective Constraints“

Systematic relationship between a set of enabling and selective constraints.

4E: enactive, embedded, embodied, extended + 2E: exaptive, emotional.

The tradeoffs inherent to RR are (a) the tradeoff between exploration and exploitation, (b) the tradeoff between specialization and generalization, and (c) the tradeoff between focusing and diversifying. There is also a higher-order tradeoff between efficiency and resiliency which encompasses the three lower-order tradeoffs.

Barrow: narrow accuracy and broad expression

Constraints and category theory

  • https://arxiv.org/pdf/2112.06818.pdf

  • Fong, Myers, Spivak, Behavioral Mereology: A Modal Logic for Passing Constraints, https://arxiv.org/abs/2101.10490

  • Juarrero, Context Changes Everything: How Constraints Create Coherence

Category theory and network dynamics

  • Rebekah Aduddell, James Fairbanks, Amit Kumar, Pablo S. Ocal, Evan Patterson, Brandon T. Shapiro, A compositional account of motifs, mechanisms, and dynamics in biochemical regulatory networks (arXiv:2301.01445)

Petri nets with links, then Petri nets with signed links.

Could there be motifs for hierarchical systems?

Biology meets active inference

  • Richard Watson, Michael Levin, The collective intelligence of evolution and development, Collective Intelligence, 2023, Volume 2: 2:1–22

“The key to being an individual is to have a functional structure in which diverse experiences across its components are bound together in a way that generates causal relationships and composite memories that belong to the higher space of the individual and not its components (Fields and Levin, 2022).”

  • Fields C and Levin M (2020). Scale-free biology: integrating evolutionary and developmental thinking. BioEssays: News and Reviews in Molecular, Cellular and Developmental Biology, 42(8), e1900228. DOI:10.1002/bies.201900228.

“Is it more productive to describe the history of life as a whole as evolution or as development? We suggest a third option: that fully integrating evolutionary and developmental concepts into a single, scale-free description may enable novel insights.”

Category theory meets

  • Nathaniel Virgo, Unifilar Machines and the Adjoint Structure of Bayesian Models, https://act2023.github.io/papers/paper67.pdf

“We show that there is an adjunction between ‘dynamical’ and ‘epistemic’ models of a hidden Markov process.”

Neoplatonism meets things

  • Bruce MacLennan, Evolution, Jung, and Theurgy, http://web.eecs.utk.edu/~bmaclenn/papers/EJT/index.html

Physics and 4P

‘The universe does not exist “out there” independent of us. We are inescapably involved in bringing about that which appears to be happening. We are not only observers. We are participators. In some strange sense this is a participatory universe.’

-John Archibald Wheeler

“What we observe is not nature itself, but nature exposed to our method of questioning.”

  • Werner Heisenberg

Scale-free biology meets psychoanalysis

Conclusion

Psychoanalysis is the classification of obstructions to individuation.

“Far on the horizon there’s the speculative idea of developing some kind of cohomology for behaviour, which would classify obstructions to non-compositionality. Even better, cohomology data should tell you exactly what’s missing from the behaviour of the parts to get the behaviour of the whole.”

Last revised on March 10, 2024 at 09:06:46. See the history of this page for a list of all contributions to it.