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Learning and the Evolution of Conscious Agents

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Abstract

The scientific study of consciousness or subjective experiencing is a rapidly expanding research program engaging philosophers of mind, psychologists, cognitive scientists, neurobiologists, evolutionary biologists and biosemioticians. Here we outline an evolutionary approach that we have developed over the last two decades, focusing on the evolutionary transition from non-conscious to minimally conscious, subjectively experiencing organisms. We propose that the evolution of subjective experiencing was driven by the evolution of learning and we identify an open-ended, representational, generative and recursive form of associative learning, which we call Unlimited Associative Learning (UAL), as an evolutionary transition marker of minimal consciousness. This evolutionary marker provides evidence that the evolutionary transition to consciousness has gone to completion and allows reverse-engineering from this learning capacity to the system that enables it – making possible the construction of a toy model of UAL. The model allows us to identify some of the key processes and structures that constitute minimal consciousness, points its taxonomic distribution and the ecological context in which it first emerged, highlights its function and suggests a framework for exploring developmental and evolutionary modifications of consciousness. We point to ways of experimentally testing the relationship between UAL and consciousness in human and in non-human animals and discuss the theoretical and ethical implications of our approach. The framework we offer allows the exploration of the evolutionary changes in agency, value systems, selective processes and goals that were involved in the transition to subjective experiencing from a perspective that resonates with the approaches of bio-semioticians.

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Notes

  1. We use the term teleology and teleological as general terms covering all goal-directed behavior (GDB). These include behaviors that do not depend on conscious will or preconceived design (teleonomic GDB) as well as GDB that is driven by mental intention, desires or reflectively and rationally guided goal-directed behavior. The term “mode of being” is used in this article within the Aristotelian teleological framework. For a discussion of an ecological notion of a mode of being (e.g. terrestrial aquatic, aerial) see Ginsburg & Jablonka 2020a.

  2. We are aware that our evolutionary approach is not universally shared – there are panpsychists who believe that all matter is conscious, dualists who separate mind and body, and biopsychists according to whom living entails sentience, so all living organisms are considered sentient. The discussion of these different approaches, their merits and problems, is beyond the scope of this article. As this article makes clear we are neither panpsychists nor biopsychists.

  3. The term “semiotic selection” suggested by Maran and Kleisner (2010), is a broader concept than the intentional selection concept of Noble, which explicitly assumes consciousness. The qualification and elaboration of the concept of selection within the extended evolutionary synthesis (EES) is discussed by Jablonka and Lamb (2014); Jablonka (2021), and Kull (2021) discuss the term in their commentaries on Noble 2021 target article.

  4. The two issues of The Philosophical Transactions of the Royal Society 2020 and 2021 https://royalsocietypublishing.org/toc/rstb/2021/376/1821 discuss basal cognition at depth and from multiple perspectives; we have discussed major transitions in cognition from the learning perspective in Ginsburg & Jablonka, 2021.

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Acknowledgements

We are grateful to the referees and to the editors for their helpful suggestions. Adi Mark helped us with the figures and we are very grateful for her for her assistance. The paper is dedicated to the memory of Marion J. Lamb.

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Correspondence to Eva Jablonka.

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Jablonka, E., Ginsburg, S. Learning and the Evolution of Conscious Agents. Biosemiotics 15, 401–437 (2022). https://doi.org/10.1007/s12304-022-09501-y

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