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Enregistrement W4318826236 · doi:10.5406/19398298.135.4.07

Tracking the Travels

2022· article· en· W4318826236 sur OpenAlexaff
Arthur S. Reber

Notice bibliographique

RevueThe American Journal of Psychology · 2022
Typearticle
Langueen
DomaineAgricultural and Biological Sciences
ThématiquePlant and Biological Electrophysiology Studies
Établissements canadiensUniversity of British Columbia
Organismes subventionnairesnon disponible
Mots-clésPsychologyPsychoanalysis

Résumé

récupéré en direct d'OpenAlex

In Journey of the Mind: How Thinking Emerged From Chaos, Ogi Ogas and Sai Gaddam take the reader on a ride through the timeline of life on planet Earth. This kind of voyage has been presented before. Daniel Dennett gave us his Darwinian-inspired volume From Bacteria to Bach and Back in 2017, and, more recently, Joseph LeDoux published The Deep History of Ourselves, a version that focused on the neurocognitive elements (LeDoux, 2019). Ogas and Gaddam's account differs from these others in emphasis and style, though like Dennett and LeDoux they begin at the beginning with the appearance of the first living unicellular species archaea and bacteria, the prokaryotes.I have several problems with the book, and they start with the subtitle. The approach to abiogenesis, or the origins of life, views the process as a measured, gradual transition in which organic molecules assembled into entities with cell membranes and capable of self-reproduction—not “chaotic” but orderly. The first living cells were remarkably fine-tuned organisms with complex biomolecular functions. Even more problematic, from my perspective, is that “thinking” didn't “emerge” at some time in evolution. The cellular basis of consciousness (CBC) model, developed in The First Minds (Reber, 2019), is grounded on the assumption that cognitive functions were there from the very beginnings, that life and sentience (“thinking,” if you wish) are coterminous.1 Cognitive functions are inherent features of all life forms. Every organism is sentient, no matter how basic its biomolecular functions are. Every living cell experiences valenced perceptions, displays a variety of cognitive processes, learns, forms stable memories, and communicates with others. One that did not would have been a Darwinian dead end. It could not have survived in the (real) chaos that was its primal environment.Ogas and Gaddam seem, at first, to accept this framework, as they do discuss many of these features of prokaryote life and, as early as page 3 they tell us that the housefly “marks . . . nature's boundary between minds that are unquestionably non-conscious and those indisputably conscious.” But then in later chapters they dismiss both the prokaryotes and insects as not being truly reflective of consciousness, sentience—that a nervous system is required and consciousness had to await the evolution of vertebrates. The result is that the initial discussions of the great journey are muddled. In the first several chapters, beginning with their overview of archaea and bacteria, they refer to these prokaryotes as being the first “minds.” In fact, they use the term “supermind” when referring to colonies of unicellular species. But later, after a description of prokaryotic learning, memorial functions, perception, guided locomotion, and communication, they state, “This is surely not consciousness, mind you” (p. 54). Well, it's not human consciousness, but I see no reason why Ogas and Gaddam don't consider these manifestly sentient behaviors as examples of consciousness. I see no reason why existential consciousness starts with vertebrates and not with prokaryotes—which they earlier seemed quite comfortable endowing with “minds.” After a time I began to think that the real problem here just might be lexicographical. In their framework it is possible to have species with minds but without consciousness. From the point of view of the CBC, the first unicellular species were sentient; had minds, experiences, and valenced perceptions; felt pain; learned; formed stable memories; and communicated both within and between colonies.Ogas and Gaddam also mischaracterize aspects of the world of the unicellular. For example, they claim that the first cellular colonies were formed by amoebas (protists) and that communication began with slime molds. But bacteria form colonies and communicate both within and between the collectives, even when they are of different species (see discussions in Reber, 2019; Reber & Baluška, 2020). They maintain that “multitasking” didn't appear until multicellular eukaryote species such as Hydra vulgaris, arguing that a species needs distinct parts to multitask. Again, unicellular bacteria multitask routinely. Prokaryotes defend against viruses (using CRISPR) while absorbing nutrients, locomoting, and communicating with others.I worried that, being a cognitive psychologist who came to this area of scholarship late in my career, perhaps I had misunderstood Ogas and Gaddam's presentation. I contacted a respected cell biologist who'd read the book for an expert's analysis. The response fit with my understanding: Their cell biology knowledge and expertise are wanting.Ogas and Gaddam have also assumed a burden, dubbed the “emergentist's dilemma,” though they appear not to realize it. If the species that have true consciousness evolved from ones that were “dumb” biomechanical beings, then the biomechanisms that caused the transition to self-awareness, reflection, a true mind need to be identified. They state that when the neural functions reach a certain (but unspecified) level of complexity and interaction, consciousness is “ignited”—which isn't terribly helpful. They are not alone here, of course. Many others who have charted the same evolutionary course have the same problem. And none of them seem to appreciate it either.2 On the other hand, taking the CBC model and recognizing that sentience and life are coterminous changes the nature of the issue. There is still the need to discover the biomolecular causes here, but the problem is a far more tractable one than trying to unpack what happened with the evolution of vertebrates.I appreciate that, in the field of consciousness studies, the CBC model is the outlier while Ogas and Gaddam's stance reflects the standard paradigm. A number of recent books and articles (e.g., Damasio, 2022; Dennett, 2017; Feinberg & Mallatt, 2013; Ginsburg & Jablonka, 2019; Godfrey-Smith, 2016) also cover the behaviors of prokaryotes and conclude that, because they lack nervous systems, they are simply displaying what Dennett called “competence without comprehension.” Not surprisingly, there is little agreement among these authors as to when in evolution a genuine consciousness emerged. Some, like Ogas and Gaddam, argue for vertebrates. Both Ginsburg and Jablonka and Feinberg and Mallatt put it at the beginnings of the Cambrian explosion—although for different reasons. Godfrey-Smith maintains the first conscious species were the cephalopods. Others, such as Barron and Klein (2016), have argued for insects. Elsewhere (Reber, 2019; Reber & Baluška, 2020), it was noted that there is an interesting pattern here. Each researcher identifies the appearance of sentience with the species they studied. The reason is, of course, because it was there all along.From this point in the journey, Ogas and Gaddam's focus shifts and the framework becomes a “modular” approach where behaviors are characterized as due to the functions of modules that handle the where, why, when, and how of different circumstances. The presumed existence of these modules is based on the research and theories of neuroscientist Stephen Grossberg. Grossberg is generally regarded as one of the founders of the computational neurosciences and, along with Gail Carpenter, developer of adaptive resonance theory (ART). ART is a feedforward system that strives to simulate various functions from those of individual cells to coordinated, parallel, and interactive cerebral modules. The model is based on neural nets and, using a variety of ART “types” (depending on the task at hand), has been successful in simulating a number of perceptual and cognitive functions. The theory is provocative and influential (in subareas of the field) but hardly Newtonian in scope and impact (and, yes, Ogas and Gaddam liken him to Sir Isaac). I suspect Grossberg is pleased to know that his theory of mind is “the solution to one of the most boggling mysteries in science: how consciousness works and why consciousness exists at all” (p. 131)—but he would, I also suspect, demur on the grandiosity of such a claim.Ogas and Gaddam use Grossberg's modules to describe how various species behave. For example, the chapter on the tortoise mind has a red-toed tortoise looking to eat a snail. Its What module handles the real-time input, matches visual patterns with memories of previously encountered snails, experiences “resonance,” and engages the Where, When, and Why modules, and so on. Unfortunately, there are no data and no empirical support for such a story. It's just a theoretical description based on the presumption that the tortoise mind can be thought of as a cluster of Grossbergian modules. Similar analyses are presented of the behaviors and minds of various species up to and including Homo sapiens.I'm trying my best to be fair, but I do not see how a modular framing of the story of the evolution of mind is an improvement on more conventional analyses. It doesn't advance the field simply because it doesn't bring any additional explanatory power. One could easily provide a very different story by, say, building the description around motivation, genetics, sociality, competition, ecology, mating. It wouldn't result in a simulation by a neural net, but, to put it crudely, so what? Grossberg's quantitative approach to consciousness and cerebral functioning, based as it is on neural nets, lacks several features that are essential in understanding consciousness—of any species. There are no genetic mechanisms—a significant contributor to any species’ functions. Neural nets lack social elements; we, and many other species including bacteria, are compellingly social. There are no embodied components; minds exist, not in vats but in bodies. Even more problematic, the modules have no developmental processes; they change over time with experience and feedback, but those changes aren't based on any biological growth and aging processes. In short, by tethering their approach to Grossberg, Ogas and Gaddam end up with a book that, while engaging at times, and informative at times, simply doesn't bring any new insights to the table.A common rhetorical device is the reference to “superminds,” and the term is used for any species that forms collectives, literally (as in species such as slime molds that aggregate into colonies, birds that form social groups and interact with each other, and humans in social groups) and figuratively (to refer to a presumed collective consciousness that emerges from groups of humans coordinating behaviors). Again, it's not clear what the gain is here, but it does give them a platform for some lovely passages outlining the roles of thought and language and extending the speculation to imagined futures with galaxy-wide consciousness.Ogas and Gaddam write in an engaging style, though they do assign a series of cutesy-pie names to the subjects of the discourse. An archaea is “Archie.” “Sally” is the salmonella bacterium, and a roundworm is dubbed the “Duke of Dirt.” They also jokingly caution us to never let a slime mold hear us call it that. Amusing, I guess, but slime molds are routinely called that in the literature (e.g., Jabr, 2012). “Yuna and Conley” are stand-ins for the Union and the Confederacy; I have no idea what the point of this one was other than the possibility it was presented as an example of a collective supermind having a consciousness that transcended those of the ordinary humans either defending or being repulsed by slavery. I appreciate that Ogas and Gaddam were trying to make complex issues appear simple, but it didn't work. It felt like they were trying to review the rich and complex evidence for the several billion years of evolution for middle-schoolers.The book jacket has positive blurbs from several highly respected scientists, including Karl Friston, Stephen Kosslyn, and Philip Zimbardo. Perhaps they saw things in it that I didn't. My overall assessment is more modest: a bold but flawed effort.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,825
Score d'incertitude au seuil0,432

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0010,000
Communication savante0,0000,000
Science ouverte0,0010,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,030
Tête enseignante GPT0,272
Écart entre enseignants0,242 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2022
Routes d'admission1
Résumé présentoui

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