Conference PaperPDF Available

Is Theoretical Biology Transiting a Cognitive Revolution?

Authors:

Abstract

The foundations of biology have been a topic of debate for the past few decades. The traditional perspective of the Modern Synthesis, which portrays organisms as passive entities with limited role in evolutionary theory, is giving way to a new paradigm where organisms are recognized as active agents, actively shaping their own phenotypic traits for adaptive purposes. Within this context, this article raises the question of whether contemporary biological theory is undergoing a cognitive revolution. This inquiry can be approached in two ways: from a theoretical standpoint, exploring the centrality of the cognitive sciences in current theoretical biology; and from a historical perspective, examining the resemblance between the current state of theoretical biology and the Cognitive Revolution of the mid-20th century. Both inquiries yield affirmative answers, though important nuances will be emphasized. The cognitive sciences' explanatory framework is employed to elucidate the agentic characteristics of organisms, establishing a clear parallelism between the Cognitive Revolution and the present state of theoretical biology. I) Is there a cognitive revolution occurring in theoretical biology? Certainly, it is imperative to elucidate the question before attempting to provide an answer. With this objective in mind, I will suggest two potential interpretations (Rama, forthcoming). The first interpretation, termed the theoretical perspective, aims to ascertain if elements of the cognitive sciences' explanatory framework are starting to assume a pivotal role in contemporary theoretical biology. In essence, it seeks to determine whether a theory from one field is impacting or interacting with a theory from another discipline. This involves an epistemic expansion of the concepts and explanations derived from the cognitive sciences into the realm of biology. On the other hand, there is a historical interpretation. According to this interpretation, we ask ourselves whether the events in the history of science from which cognitive science emerged are similar to the current situation in theoretical biology and the various controversies that have been on the table for several decades (which we will discuss in the next section). In this sense, the expression Cognitive Revolution (with capital letters) refers to a historical event in science that took place in the 1950s and that led to the emergence of the cognitive sciences and the abandonment of the behavioral model that had prevailed until then (Miller 2003). The motivation for asking about a cognitive revolution in biology is that the foundations of the biological theory are under serious dispute. The Modern Synthes represents the mainstream framework that has received different challenges in the last decades, particularly from developmental biology. The main motivation, therefore, is that while development was black-boxed in the Modern Synthesis-we need not
Tiago Rama
University of the Republic of Uruguay
79. Philosophy of the Life Sciences
Philosophy World Congress
1-8 August 2024
Rome, Italy
Is Theoretical Biology Transiting a Cognitive Revolution?
Abstract: The foundations of biology have been a topic of debate for the past few decades. The
traditional perspective of the Modern Synthesis, which portrays organisms as passive entities with
limited role in evolutionary theory, is giving way to a new paradigm where organisms are
recognized as active agents, actively shaping their own phenotypic traits for adaptive purposes.
Within this context, this article raises the question of whether contemporary biological theory is
undergoing a cognitive revolution. This inquiry can be approached in two ways: from a theoretical
standpoint, exploring the centrality of the cognitive sciences in current theoretical biology; and from
a historical perspective, examining the resemblance between the current state of theoretical biology
and the Cognitive Revolution of the mid-20th century. Both inquiries yield affirmative answers,
though important nuances will be emphasized. The cognitive sciences' explanatory framework is
employed to elucidate the agentic characteristics of organisms, establishing a clear parallelism
between the Cognitive Revolution and the present state of theoretical biology.
Keywords: Cognitive Revolution; Theoretical Biology; Conceptual Change; History and Philosophy of
Biology; Cognitivism.
I) Is there a cognitive revolution occurring in theoretical biology? Certainly, it is imperative to
elucidate the question before attempting to provide an answer. With this objective in mind, I will
suggest two potential interpretations (Rama, forthcoming).
The first interpretation, termed the theoretical perspective, aims to ascertain if elements of the
cognitive sciences' explanatory framework are starting to assume a pivotal role in contemporary
theoretical biology. In essence, it seeks to determine whether a theory from one field is impacting or
interacting with a theory from another discipline. This involves an epistemic expansion of the
concepts and explanations derived from the cognitive sciences into the realm of biology. On the
other hand, there is a historical interpretation. According to this interpretation, we ask ourselves whether
the events in the history of science from which cognitive science emerged are similar to the current
situation in theoretical biology and the various controversies that have been on the table for several
decades (which we will discuss in the next section). In this sense, the expression Cognitive Revolution (with
capital letters) refers to a historical event in science that took place in the 1950s and that led to the
emergence of the cognitive sciences and the abandonment of the behavioral model that had prevailed until
then (Miller 2003).
The motivation for asking about a cognitive revolution in biology is that the foundations of the biological
theory are under serious dispute. The Modern Synthes represents the mainstream framework that has
received dierent challenges in the last decades, particularly from developmental biology. The main
motivation, therefore, is that while development was black-boxed in the Modern Synthesis -we need not
look into it to explain evolution- “the black box [of development] is now being opened to provide a more
complete picture of what really happens” (Bateson and Gluckman, 2011, 17). The lesson here is that the
philosophy of modern biology is going through a period of profound debate, driven by multiple empirical
advancements that urge us to reconsider the underpinnings of biology. This is particularly signicant
because, according to the reductionist framework of the Modern Synthesis, "an immense amount of
biology was missing" (Lewontin, 2010). In the present context, developing organisms have regained their
central position in theoretical biology (Baedke, 2018; Bateson, 2005). This paper asks whether the new
understanding of developing organisms involves a cognitive revolution (under a theoretical or historical
interpretation),
II) Concerning the theoretical interpretation, I will argue that cognitive sciences indeed oer fundamental
conceptualizations and experimental frameworks for comprehending the cognitive capacities of
organisms. I will show dierent examples where cognitive science oods theoretical biology, from basal or
minimal cognition (Kovác2006; Lyon et al. 2021; Levin et al. 2021; Van Duijn et al. 2006) to plant
cognition (Marder 2013; Calvo and Keijzer 2011).
However, this conclusion necessitates nuanced consideration due to the diverse positions that can be
adopted: cognitive science can be explanatorily useful and necessary in dierent ways. Firstly, there is the
question of which theories within cognitive science should be applied to biology, with various possibilities
ranging from classical cognitivism to radical post-cognitivism (enactivism, ecological psychology).
Simultaneously, there are divergences concerning the concepts applicable to cognitive science, with some
asserting that all living organisms possess mental properties, while others, adopting less radical stances,
contend that certain paradigmatic properties of cognitive systems, such as memory, perception, or
learning, can be observed in unicellular organisms. In other words, there are dierent continuity theses
(Auletta 2011; Wiese and Friston 2021; Wheeler 2011; Rama, 2021), such as life-mind, life-cognition,
life-perception, and life-consciousness. Each thesis is dierent and requires dierent conceptual and
methodological apparatus from cognitive science. The current landscape is, therefore, marked by diversity.
A central aim is to approach the theoretical question from this diversity.
However, if we zoom out and see the general panorama, we can conclude a common thread across all
positions is the acknowledgment that organisms are active agents in their own existence, not merely
passive systems controlled by genetic factors. Despite the diverse connections that may exist between
theoretical biology and the cognitive sciences, a point of convergence within this pluralism can be
identied. In all instances, the common objective is to rationalize the role of organisms as active entities.
As emphasized by Dennett and Levin (2020): "Biology's next great horizon is to understand cells, tissues,
and organisms as agents with agendas." This concept starkly contrasts with the perspective of the Modern
Synthesis, where organisms are viewed not as active agents but as passive objects in explaining evolution
(Sultan et al., 2021). In broad terms, it can be asserted that all applications of the cognitive science
framework strive to grasp, or are linked to, the agentive dimension of organisms. In simpler terms, the
unifying proposition across various applications of cognitivism can be termed the agency-life continuity
thesis: Every living system is an agent, and every agent possesses life. It is worth noting that the notion of
agency is intricate, and while there exists a dedicated discipline for articial agents, eorts have been made
to elucidate the characteristics dening the agency of living systems (e.g., Barandiaran et al., 2009). Thus,
utilizing cognitive science frameworks in biology serves as an endeavor to elucidate the agency of
organisms.
III) Regarding the historical question, my inquiry can also yield an armative response. The crucial
historical concerns of the parallelism between behaviorism and the Modern Synthesis on one hand, and
between the cognitive science and the new proposal in biology that came to challenge the Modern
Synthesis. Three pertinent parallelisms are underscored:
(a) the analogy between behaviorism and the Modern Synthesis,
(b) the correlation between the cognitive sciences and contemporary propositions in theoretical
biology, and, most signicantly,
(c) the shared reasons for transitioning from one theory to another—moving from behaviorism to
cognitive sciences and from the Modern Synthesis to novel propositions in theoretical biology.
Concerning (a), the most notable parallelism between behaviorism and the Modern Synthesis becomes
evident when examining their explanatory models (Amundson 1990). In both instances, a black box is
posited, suggesting that delving into its contents is unnecessary for accomplishing scientic objectives.
The behavioral model relies on three variables: a perceptual input, a behavioral output, and a
reinforcement—whether positive or negative—of the connection between input and output. Similarly,
these three elements are present in the evolutionary model of the Modern Synthesis: a genetic input
(inheritance), a phenotypic output (variation), and selection—whether positive or negative—of traits
(tness).
Regarding (b), the parallelism between the cognitive sciences and the novel propositions in theoretical
biology is readily apparent, as both endorse a similar principle: the adaptability of a system should be
elucidated in relation to the internal processes within the system. Neglecting the internal processes of a
system implies forsaking the underlying causes that drive its interactions with the environment.
Finally, concerning (c), the most important aspect of this historical analysis is that the reason for moving
beyond behaviorism and the Modern Synthesis are pretty similar (Rama 2022; Rama 2023). In both cases,
a black box was open and the need to study internal processes became evident. The black box of the mind,
built on behaviorist grounds, states that it is not necessary or even possible to understand mental
phenomena. Similarly, the Modern Synthesis also neglected any explanatory role in developmental
processes. Life science moved forward by realizing that such intrinsic phenomena cannot be black-boxed:
mental and developmental processes need to be explained. In front of such needs, both disciplines
provided a similar key.
However, the armative response to the historical question warrants a caveat. The depiction of the role of
cognitive science in contemporary theoretical biology was framed as a potential "Cognitive Revolution" in
biology. Within the context of the philosophy of science, the term "revolution" carries a substantial
connotation. It is not asserting the occurrence of a scientic revolution in theoretical biology, as
acknowledged earlier, given the diverse viewpoints in revisiting the foundations of the Modern Synthesis.
The primary reason for employing the term "Cognitive Revolution" is heuristic—it serves as a means to
represent and comprehend the present state of theoretical biology through a historical comparison with
the Cognitive Revolution of the 1950s.
References
Amundson, R. (1990). Doctor Dennett and Doctor Pangloss: Perfection and selection in biology and
psychology. Behavioral and Brain Sciences, 13(3), 577–581.
Auletta, G. (2011). Cognitive biology: Dealing with information from bacteria to minds. Oxford:
Oxford University Press.
Baedke, J. (2018). O organism, where art thou? Old and new challenges for organism-centered
biology. Journal of the History of Biology, 52(2), 293– 324.
Barandiaran, X., Di Paolo, E., and Rohde, M. (2009). Defining agency: Individuality, normativity,
asymmetry, and spatio-temporality in action. Adaptive Behavior, 17(5), 367-386.
Bateson, P. (2005). The return of the whole organism. Journal of Biosciences, 30(1), 31–39
Bateson, P. and Gluckman, P. (2011). Plasticity, Robustness, Development and Evolution.
Cambridge: Cambridge University Press.
Calvo P. and Keijzer, F. (2011). Plants: Adaptive behavior, root-brains, and minimal cognition.
Adaptive behavior, 19(3),155-171.
Dennett, D. and Levin, M. (2020, 13 de octubre). Cognition all the way down.
https://aeon.co/essays/how-to-understand-cells-tissues-and-organisms-as-agents-with-agendas
Kovác, L. (2006). Life, chemistry and cognition: Conceiving life as knowledge embodied in sentient
chemical systems might provide new insights into the nature of cognition. EMBO reports, 7(6),
562–566. doi: 10.1038/sj.embor .7400717
Levin, M., Keijzer, F., Lyon, P., and Arendt, D. (eds.) (2021). Basal cognition: Multicellularity,
neurons and the cognitive lens. Philosophical Transactions of the Royal Society B: Biological
Sciences, 376(1821).
Lewontin, R. (2010, May 27). Not so natural selection. Retrieved January 17, 2024 from
https://www.nybooks.com/articles/2010/05/27/not-so-natural-selection/
Lyon, P., Keijzer, F., Arendt, D., and Levin, M. (eds.) (2021). Basal cognition: Conceptual tools and
the view from the single cell. Philosophical Transactions of the Royal Society B: Biological
Sciences, 376(1820).
Marder, M. (2013). Plant-thinking: A philosophy of vegetal life. New York: Columbia University
Press.
Miller, G. (2003). The cognitive revolution: a historical perspective. Trends in cognitive sciences,
7(3), 141-144.
Rama, T. (2021). Biosemiotics at the bridge between Eco-Devo and representational theories of
mind. Rivista Italiana di Filosofia del Linguaggio, 15(2).
Rama, T. (2022) Agential Teleosemantics. Disertación Doctoral. Universidad Autónoma de
Barcelona.
Rama, T. (2023). Evolutionary causation and teleosemantics. In J. M. Viejo and M. Sanjuan (Eds.),
Life and Mind: New Directions in the Philosophy of Biology and Cognitive Sciences (pp.
301-329). Cham: Springer International Publishing.
Rama, T. (Forthcoming). The Explanatory Role of Umwelt in Evolutionary Theory: Introducing von
Baer's Reflections on Teleological Development. Biosemiotics.
Rama, T. (Forthcoming). Is A Cognitive Revolution in Theoretical Biology Underway? Foundations
of Science.
Sultan, S., Moczek, A., and Walsh, D. (2022). Bridging the explanatory gaps: what can we learn
from a biological agency perspective?, BioEssays, 44(1), 2100185.
Van Duijn, M., Keijzer, F., and Franken, D. (2006). Principles of minimal cognition: Casting
cognition as sensorimotor coordination. Adaptive Behavior, 14(2), 157-170.
Wheeler, M. (2011). Mind in life or life in mind? Making sense of deep continuity. Journal of
Consciousness Studies, 18(5-6), 148–168.
Wiese, W. and Friston, K. (2021). Examining the continuity between life and mind: Is there a
continuity between autopoietic intentionality and representationality? Philosophies, 6(1), 18.
ResearchGate has not been able to resolve any citations for this publication.
Chapter
Full-text available
Disputes about the causal structure of natural selection have implications for teleosemantics. Etiological, mainstream teleosemantics is based on a causalist view of natural selection. The core of its solution to Brentano’s Problem lies in the solution to Kant’s Puzzle provided by the Modern Synthesis concerning populational causation. In this paper, I suggest that if we adopt an alternative, statisticalist view on natural selection, the door is open for two reflections. First, it allows for setting different challenges to etiological teleosemantics that arise if a statisticalist reading of natural selection is right. Second, by providing a different solution to Kant’s Puzzle based on individual causes of evolution, statisticalism promotes a different answer to Brentano’s Problem, what I label as Agential Teleosemantics.KeywordsEvolutionary causationCausalist vs. statisticalistEtiological teleosemanticsAgential TeleosemanticsBiological agency
Article
Full-text available
A weak version of life-mind continuity thesis entails that every living system also has a basic mind (with a non-representational form of intentionality). The strong version entails that the same concepts that are sufficient to explain basic minds (with non-representational states) are also central to understanding non-basic minds (with representational states). We argue that recent work on the free energy principle supports the following claims with respect to the life-mind continuity thesis: (i) there is a strong continuity between life and mind; (ii) all living systems can be described as if they had representational states; (iii) the ’as-if representationality’ entailed by the free energy principle is central to understanding both basic forms of intentionality and intentionality in non-basic minds. In addition to this, we argue that the free energy principle also renders realism about computation and representation compatible with a strong life-mind continuity thesis (although the free energy principle does not entail computational and representational realism). In particular, we show how representationality proper can be grounded in ’as-if representationality’.
Article
Full-text available
This paper addresses theoretical challenges, still relevant today, that arose in the first decades of the twentieth century related to the concept of the organism. During this period, new insights into the plasticity and robustness of organisms as well as their complex interactions fueled calls, especially in the UK and in the German-speaking world, for grounding biological theory on the concept of the organism. This new organism-centered biology (OCB) understood organisms as the most important explanatory and methodological unit in biological investigations. At least three theoretical strands can be distinguished in this movement: Organicism, dialectical materialism, and (German) holistic biology. This paper shows that a major challenge of OCB was to describe the individual organism as a causally autonomous and discrete unit with consistent boundaries and, at the same time, as inextricably interwoven with its environment. In other words, OCB had to conciliate individualistic with anti-individualistic perspectives. This challenge was addressed by developing a concept of life that included functionalist and metabolic elements, as well as biochemical and physical ones. It allowed for specifying organisms as life forms that actively delimit themselves from the environment. Finally, this paper shows that the recent return to the concept of the organism, especially in the so-called “Extended Evolutionary Synthesis,” is challenged by similar anti-individualistic tendencies. However, in contrast to its early-twentieth-century forerunner, today’s organism-centered approaches have not yet offered a solution to this problem.
Article
We begin this article by delineating the explanatory gaps left by prevailing gene‐focused approaches in our understanding of phenotype determination, inheritance, and the origin of novel traits. We aim not to diminish the value of these approaches but to highlight where their implementation, despite best efforts, has encountered persistent limitations. We then discuss how each of these explanatory gaps can be addressed by expanding research foci to take into account biological agency—the capacity of living systems at various levels to participate in their own development, maintenance, and function by regulating their structures and activities in response to conditions they encounter. Here we aim to define formally what agency and agents are and—just as importantly—what they are not, emphasizing that agency is an empirical property connoting neither intention nor consciousness. Lastly, we discuss how incorporating agency helps to bridge explanatory gaps left by conventional approaches, highlight scientific fields in which implicit agency approaches are already proving valuable, and assess the opportunities and challenges of more systematically incorporating biological agency into research programs. Despite the achievements of gene‐based approaches, persistent gaps remain in our understanding of phenotypic variation, trait inheritance, and evolutionary innovation. A research focus on biological agency—the distinctively flexible, functionally robust capacities of living systems at various levels of organization—may help to bridge those gaps.
Article
How do we understand and explain the apparent dichotomy between plasticity and robustness in the context of development? Can we identify these complex processes without resorting to ‘either/or’ solutions? Written by two leaders in the field, this is the first book to fully unravel the complexity of the subject, explaining that the epigenetic processes generating plasticity and robustness are in fact deeply intertwined. It identifies the different mechanisms that generate robustness and the various forms of plasticity, before considering the functional significance of the integrated mechanisms and how the component processes might have evolved. Finally, it highlights the ways in which epigenetic mechanisms could be instrumental in driving evolutionary change. Essential reading for biologists and psychologists interested in epigenetics and evolution, this book is also a valuable resource for biological anthropologists, sociobiologists, child psychologists and paediatricians.
Article
One of the many ground-breaking themes in Evan Thompson's rich and thought-provoking book Mind in Life: Biology, Phenomenology, and the Sciences of Mind is his distinctive development and defence of an idea that he calls the deep continuity of life and mind – henceforth just deep continuity. Thompson introduces this idea as follows: ‚life and mind share a set of basic organizational principles, and the organizational properties distinctive of mind are an enriched version of those fundamental to life. Mind is life-like and life is mind-like‛ (p.128). 1 In this initial characterization, deep continuity is (as Thompson notes) tantamount to what others (e.g. Godfrey-Smith 1994, Wheeler 1997) have called the strong continuity thesis of life and mind. 2 Thompson claims, however, that these other theorists, in concentrating on organizational, functional or behavioural properties, have ignored a crucial aspect of life-mind continuity, namely its phenomenological dimension. The corrective, then, which recruits an insight that Thompson traces back to the work of Hans Jonas (1966), is to recognize that ‚certain basic concepts needed to understand human experience turn out to be applicable to life itself‛ (p.129). Such concepts (more on which below) include needful freedom, self-transcendence, and immanent purposiveness. In other words, ‚certain existential structures of human life are an enriched version of those constitutive of all life‛ (p.157). In what follows I shall offer an all-to-brief response to Thompson's account of deep continuity. The bulk of the paper will be devoted to a critical analysis of the key elements out of which Thompson constructs his account, an analysis during which I highlight and discuss a number of internal problems and unresolved issues for the view. That done, I shall argue that Thompson's specification of the relationship between autopoiesis, cognition and life has the unpalatable effect of 1 Unless otherwise indicated, all page numbers refer to Thompson 2007. 2 For example, Godfrey-Smith (1994, p.83) characterizes strong continuity as the view that ‚*life+ and mind have a common abstract pattern or set of basic organizational principles< Mind is literally life-like‛.
Book
The book provides a new conceptual scaffold for further research in biology and cognition by introducing the new field of Cognitive Biology. It is a systems biology approach showing that further progress in this field will depend on a deep recognition of developmental processes, as well as on the consideration of the developed organism as an agent able to modify and control its surrounding environment. The role of cognition, the means through which the organism is able to cope with its environment, cannot be underestimated. In particular, it is shown that this activity is grounded on a theory of information based on Bayesian probabilities. The organism is considered as a cybernetic system able to integrate a processor as a source of variety (the genetic system), a regulator of its own homeostasis (the metabolic system), and a selecting system separating the self from the non-self (the membrane in unicellular organisms).