I develop an account of the role that biology plays in the Timaeus’ view of nous and other aspects of cognitive life. I begin by outlining the biology of human cognition. I then argue that these biological views shine an important light on different aspects of the soul. I then argue that the human body is particularly friendly to nous, paying special attention to the heart and the liver. I next consider the ways that the body fails (...) to protect our nous. I conclude by comparing human nous with the cognition of non-humans. (shrink)

How should scientists carve up cognition to generate good predictions, explanations, and models of cognition? This chapter argues that cognitive categories should be constructed the same way that biological categories are: in terms of homology. The chapter adapts a developmental account of trait identity from evolutionary-developmental biology to make sense of the notion of “cognitive homology.” The consequence is that both brain structures and the organism’s ongoing interactions with the environment are crucial for individuating cognitive homologies, and (...) thus for cognitive ontology. (shrink)

Naturalistic theories of representation seek to specify the conditions that must be met for an entity to represent another entity. Although these approaches have been relatively successful in certain areas, such as communication theory or genetics, many doubt that they can be employed to naturalize complex cognitive representations. In this essay I identify some of the difficulties for developing a teleosemantic theory of cognitive representations and provide a strategy for accommodating them: to look into models of signaling in evolutionary game (...) theory. I show how these models can be used to formulate teleosemantics and expand it in new directions. (shrink)

Artificial models of cognition serve different purposes, and their use determines the way they should be evaluated. There are also models that do not represent any particular biological agents, and there is controversy as to how they should be assessed. At the same time, modelers do evaluate such models as better or worse. There is also a widespread tendency to call for publicly available standards of replicability and benchmarking for such models. In this paper, I argue that proper evaluation (...) ofmodels does not depend on whether they target real biological agents or not; instead, the standards of evaluation depend on the use of models rather than on the reality of their targets. I discuss how models are validated depending on their use and argue that all-encompassing benchmarks for models may be well beyond reach. (shrink)

I develop a distinction between two types of psychological hedonism. Inferential hedonism (or “I-hedonism”) holds that each person only has ultimate desires regarding his or her own hedonic states (pleasure and pain). Reinforcement hedonism (or “R–hedonism”) holds that each person's ultimate desires, whatever their contents are, are differentially reinforced in that person’s cognitive system only by virtue of their association with hedonic states. I’ll argue that accepting R-hedonism and rejecting I-hedonism provides a conciliatory position on the traditional altruism debate, and (...) that it coheres well with the neuroscientist Anthony Dickinson’s theory about the evolutionary function of hedonic states, the “hedonic interface theory.” Finally, I’ll defend R-hedonism from potential objections. (shrink)

the study of causality has historically been very important of science in general. Since the time Aristotle, we have had a science based on linear or efficient causality, a concept that has been and continues to hold significance in positivist sciences.

The aim of this article is to investigate the relevance and implications of synthetic models for the study of the interactive dimension of minimal life and cognition, by taking into consideration how the use of artificial systems may contribute to an understanding of the way in which interactions may affect or even contribute to shape biological identities. To do so, this article analyzes experimental work in synthetic biology on different types of interactions between artificial and natural systems, more (...) specifically: between protocells and between biological living cells and protocells. It discusses how concepts such as control, cognition, communication can be used to characterize these interactions from a theoretical point of view, which criteria of relevance and evaluation of synthetic models can be applied to these cases, and what are their limits. (shrink)

The "hard problem" of consciousness has long been debated in philosophy, with mysterianism suggesting that it may be inherently unsolvable due to cognitive or epistemic limitations. This paper introduces a new argument for mysterianism, drawing on insights from the complexity of artificial neural networks. Using a simple multilayer neural network trained to classify images as an example, it is shown that even understanding a single artificial neuron’s role in information processing can be beyond our cognitive capabilities. When considering the complexity (...) of biological neurons, which far exceed artificial neurons in intricacy, the challenges become even more pronounced. This raises questions about the feasibility of understanding consciousness, a vastly more complex phenomenon, by suggesting that our cognitive limitations extend to fundamental principles of interpreting complex systems. The paper emphasizes the challenges posed by layered abstractions, drawing parallels with other multi-level systems like microprocessors to argue that certain problems may be insurmountable. (shrink)

Many empirically minded philosophers have used neuroscientific data to argue against the multiple realization of cognitive functions in existing biological organisms. I argue that neuroscientists themselves have proposed a biologically based concept of multiple realization as an alternative to interpreting empirical findings in terms of one‐to‐one structure‐function mappings. I introduce this concept and its associated research framework and also how some of the main neuroscience‐based arguments against multiple realization go wrong. *Received October 2009; revised December 2009. †To contact the author, (...) please write to: Department of Philosophy, 260 English‐Philosophy Building, University of Iowa, Iowa City, IA 52242; e‐mail: carrie‐[email protected]. (shrink)

The mind has always been a peculiar and elusive subject, sparking controversial theories throughout the history of philosophy. The initial theorization of the mind dates back to Orphism, which formulated a dualistic structure of soul and body (Johansen, 1999) [1], laying the foundation for Greek dualism, introspection, and the rise of metaphysical idealism. This ill-empirical stance, especially after Plato’s idea of forms, led to inaccessible theoretical concepts concerning the investigation of the relationship between body and mind. Although diverse theories provide (...) broader insights into such matters, they can also hinder progress if based on unsound methodological hypothesis. The present study aims to employ a rational reexamination of the potentiality of the concepts of mind, using abductive inspection to present a valid grasp through the lens of cognitive neuroscience, philosophy, and interdisciplinary fields. This paper speculates through empirical deduction by analyzing the literature and theories on the concept of mind and its possible implications for singularity via transhumanism. In the contemporary world, humankind is on the edge of singularity due to the exponential growth predicted by Moore’s law (Moore 1965) [2]. While many considered singularity an abstract akin to science fiction, significant projections indicate that the accelerationist change has already begun, irreversibly. This advancement occurs not only in the degree of semiconductors in electronics but also in the amplification of human cognition through external devices enabling compound information flow via the world wide web. However, the conjunction of robotics and AI may outdo humankind in the contest for sovereignty soon due to their advantageous architecture in process design, which increases the systemic risk of extinction for humankind. Achieving total control over AI is unrealistic, as it requires complete supervision over all computers and information processes across the world, rendering any regulatory efforts to foresee augmentation futile. Consequently, this paper proposes the adoption of a neuro-robotic approach, enriched with AI, and implementation through biomedical applications on the human body to augment human cognition and physicality. This study aims to raise awareness against existential risks, emphasizing that reliance solely on AI powered computers could lead to annihilation. It also aims to highlight that biological mind and body is lagging behind the modern science to compete against Artificial Intelligence. Moreover, the foundation of Artificial General Intelligence (AGI) is an epistemic foundation for cognitive machinery enhancement that cannot be reversed once it emergence become apparent, as with Pandora’s Box. Technological singularity (Shanahan, 2015) [3], the point where technology is intelligently engineered to engineer its own sets by compounding all possible implementations of practical and theoretical information, is appearing on the horizon. Even if there is no human agency left on the soil of Earth, there is still no turning back at that point. Humankind must actively hold the key to bend this alteration in a way that aligns with its desires. Therefore, we propose, future for humankind lies with transhumanism. (shrink)

This paper has two distinct but related goals: (1) to identify some of the potential consequences of the Internet for our cognitive abilities and (2) to suggest an approach to evaluate these consequences. I begin by outlining the Google effect, which (allegedly) shows that when we know information is available online, we put less effort into storing that information in the brain. Some argue that this strategy is adaptive because it frees up internal resources which can then be used for (...) other cognitive tasks, whereas others argue that this is maladaptive because it makes us less knowledgeable. I argue that the currently available empirical evidence in cognitive psychology does not support strong conclusions about the negative effects of the Internet on memory. Before we can make value-judgements about the cognitive effects of the Internet, we need more robust and ecologically-valid evidence. Having sketched a more nuanced picture of the Google effect, I then argue that the value of our cognitive abilities is in part intrinsic and in part instrumental, that is, they are both valuable in themselves and determined by the socio-cultural context in which these cognitive abilities are utilised. Focussing on instrumental value, I argue that, in an information society such as ours, having the skills to efficiently navigate, evaluate, compare, and synthesize online information are (under most circumstances) more valuable than having a lot of facts stored in biological memory. This is so, partly because using the Internet as an external memory system has overall benefits for education, navigation, journalism, and academic scholarship. (shrink)

The great advances of the last decades both in cognitive theories and in evolutionary biology have not yet fully merged. Most evolutionary hypotheses around the mind still rely on classical cognitivism, while most theories of cognition still look for adaptive explanations. We believe that the merging of novel cognitive theories into a pluralistic account can greatly improve our understanding of both what cognition is and how it evolved.

Paleontological evidence suggests that human artefacts with intentional markings might have originated already in the Lower Paleolithic, up to 500.000 years ago and well before the advent of ‘behavioural modernity’. These markings apparently did not serve instrumental, tool-like functions, nor do they appear to be forms of figurative art. Instead, they display abstract geometric patterns that potentially testify to an emerging ability of symbol use. In a variation on Ian Hacking’s speculative account of the possible role of “likeness-making” in the (...) evolution of human cognition and language, this essay explores the central role that the embodied processes of making and the collective practices of using such artefacts might have played in early human cognitive evolution. Two paradigmatic findings of Lower Paleolithic artefacts are discussed as tentative evidence of likenesses acting as material scaffolds in the emergence of symbolic reference-making. They might provide the link between basic abilities of mimesis and imitation and the development of modern language and thought. (shrink)

Researchers in the biological and biomedical sciences, particularly those working in laboratories, use a variety of artifacts to help them perform their cognitive tasks. This paper analyses the relationship between researchers and cognitive artifacts in terms of integration. It first distinguishes different categories of cognitive artifacts used in biological practice on the basis of their informational properties. This results in a novel classification of scientific instruments, conducive to an analysis of the cognitive interactions between researchers and artifacts. It then uses (...) a multidimensional framework in line with complementarity-based extended and distributed cognition theory to conceptualize how deeply instruments in different informational categories are integrated into the cognitive systems of their users. The paper concludes that the degree of integration depends on various factors, including the amount of informational malleability, the intensity and kind of information flow between agent and artifact, the trustworthiness of the information, the procedural and informational transparency, and the degree of individualisation. (shrink)

We advance an account that grounds cognition, specifically decision-making, in an activity all organisms as autonomous systems must perform to keep themselves viable—controlling their production mechanisms. Production mechanisms, as we characterize them, perform activities such as procuring resources from their environment, putting these resources to use to construct and repair the organism's body and moving through the environment. Given the variable nature of the environment and the continual degradation of the organism, these production mechanisms must be regulated by control (...) mechanisms that select when a production is required and how it should be carried out. To operate on production mechanisms, control mechanisms need to procure information through measurement processes and evaluate possible actions. They are making decisions. In all organisms, these decisions are made by multiple different control mechanisms that are organized not hierarchically but heterarchically. In many cases, they employ internal models of features of the environment with which the organism must deal. Cognition, in the form of decision-making, is thus fundamental to living systems which must control their production mechanisms. (shrink)

From the premise that our biology imposes cognitive constraints on our epistemic activities, a series of prominent authors – most notably Fodor, Chomsky and McGinn – have argued that we are cognitively closed to certain aspects and properties of the world. Cognitive constraints, they argue, entail cognitive closure. I argue that this is not the case. More precisely, I detect two unwarranted conflations at the core of arguments deriving closure from constraints. The first is a conflation of what I (...) will refer to as ‘representation’ and ‘object of representation’. The second confuses the cognitive scope of the assisted mind for that of the unassisted mind. Cognitive closure, I conclude, cannot be established from pointing out the (uncontroversial) existence of cognitive constraints. (shrink)

An action-oriented perspective changes the role of an individual from a passive observer to an actively engaged agent interacting in a closed loop with the world as well as with others. Cognition exists to serve action within a landscape that contains both. This chapter surveys this landscape and addresses the status of the pragmatic turn. Its potential influence on science and the study of cognition are considered (including perception, social cognition, social interaction, sensorimotor entrainment, and language acquisition) (...) and its impact on how neuroscience is studied is also investigated (with the notion that brains do not passively build models, but instead support the guidance of action). A review of its implications in robotics and engineering includes a discussion of the application of enactive control principles to couple action and perception in robotics as well as the conceptualization of system design in a more holistic, less modular manner. Practical applications that can impact the human condition are reviewed (e.g., educational applications, treatment possibilities for developmental and psychopathological disorders, the development of neural prostheses). All of this foreshadows the potential societal implications of the pragmatic turn. The chapter concludes that an action-oriented approach emphasizes a continuum of interaction between technical aspects of cognitive systems and robotics, biology, psychology, the social sciences, and the humanities, where the individual is part of a grounded cultural system. (shrink)

Ita La recensione presenta la prospettiva enattivista difesa da Alva Noë, e ne discute alcuni aspetti specifici. Il pensiero, la coscienza e la cognizione non sono pienamente comprensibili, secondo l’enattivismo di Noë, senza un’adeguata considerazione del ruolo ricoperto dal corpo e dall’ambiente. Sarebbe quindi sbagliato continuare a pensare che il cervello da solo sia responsabile dei processi cognitivi umani: il programma che ricerca i correlati neurali della coscienza sarebbe quindi destinato al fallimento dal principio, perché tralascia in partenza corpo e (...) ambiente; i programmi di ricerca nel campo dell’intelligenza artificiale sarebbero ugualmente compromessi, non solo con una concezione computazionalista della cognizione, ma anche con la vecchia idea che un cervello artificiale sia sufficiente alla cognizione quanto un cervello naturale. Di seguito si prendono in esame due prospettive sperimentali su cui Noë fa grande affidamento: gli studi sulla plasticità neurale dei furetti svolti da Mriganka Sur e altri, e la realizzazione di un sistema di sostituzione visuo-tattile da parte di Paul Bach-Y-Rita. Per Noë si tratta di elementi cruciali in supporto alla propria prospettiva: in realtà, come emerge dalla breve analisi, l’attribuire loro un significato così chiaro e univoco pro-enattivismo è qualcosa di molto meno scontato. Infine, segue un breve bilancio del libro di Noë, dove gli elementi d’interesse del volume sono presentati insieme all’individuazione di alcuni punti deboli, che il testo condivide con la gran parte degli studi che in vario modo fanno leva sull’intuizione legata all’embodiement: da un lato una difficoltà strutturale riguarda la possibilità di identificare con chiarezza gli elementi costitutivi del mentale; dall’altro lato, il riferimento a forme di esternalismo radicale sembra ugualmente comportare diversi problemi. -/- Abstract Eng The review presents Alva Noë’s enactivist view, and aims at discussing some of its ideas. Thought, consciousness, and cognition are not understandable, Noë claims, without taking into proper consideration the role played by the body and the environment. It would be wrong indeed to go on thinking that our brain alone is responsible for human cognitive processes: the program searching for the neural correlates of consciousness is hopeless in principle, because it neglects from the beginning the body and the environment; research programs in artificial intelligence are as well compromised, not only with a computationalist view of cognition, but also with the old idea that an artificial brain will suffice for cognition just like a natural one. Thereafter, two experimental perspectives, that Noë uses to support his view, are examined: Mriganka Sur’s studies on neural plasticity of ferrets, and Paul Bach-Y-Rita’s tactile-visual substitution system. Noë argues that these results are crucial in supporting his view, but, as the discussion highlights, their pro-enactivism meaning is not so clear and unambiguous. Finally, a balance of the book follows, where the many elements of interest are presented together with the acknowledgment of some weak points, that the book shares with the majority of the proposals that deal with the embodiment’s insight: on the one hand, a structural difficulty concerns the possibility to identify clearly the constitutive elements of the mental; on the other hand, the reference to radical versions of externalism seems to entail many difficulties as well. (shrink)

The hard problem of consciousness is explicating how moving matter becomes thinking matter. Harder yet is the problem of spelling out the mutual determinations of individual experiences and the experiencing self. Determining how the collective social consciousness influences and is influenced by the individual selves constituting the society is the hardest problem. Drawing parallels between individual cognition and the collective knowing of mathematical science, here we present a conceptualization of the cognitive dimension of the self. Our abstraction of the (...) relations between the physical world, biological brain, mind, intuition, consciousness, cognitive self, and the society can facilitate the construction of the conceptual repertoire required for an explicit science of the self within human society. (shrink)

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. (shrink)

Where does the mind begin and end? Most philosophers and cognitive scientists take the view that the mind is bounded by the skull or skin of the individual. Robert Wilson, in this provocative and challenging 2004 book, provides the foundations for the view that the mind extends beyond the boundary of the individual. The approach adopted offers a unique blend of traditional philosophical analysis, cognitive science, and the history of psychology and the human sciences. The companion volume, Genes and the (...) Agents of Life, explores the theme in the biological sciences. Written with verve and clarity, this ambitious book will appeal to a broad swathe of professionals and students in philosophy, psychology, cognitive science, and the history of the behavioural and human sciences. You can download the table of contents here. (shrink)

Genes and the Agents of Life undertakes to rethink the place of the individual in the biological sciences, drawing parallels with the cognitive and social sciences. Genes, organisms, and species are all agents of life but how are each of these conceptualized within genetics, developmental biology, evolutionary biology, and systematics? The 2005 book includes highly accessible discussions of genetic encoding, species and natural kinds, and pluralism above the levels of selection, drawing on work from across the biological sciences. (...) The book is a companion to the author's Boundaries of the Mind (2004), also available from Cambridge, where the focus is the cognitive sciences. The book will appeal to a broad range of professionals and students in philosophy, biology, and the history of science. You can download the table of contents and the first chapter here. (shrink)

Learning from contemporary natural, formal, and social sciences, especially from current biology, as well as from humanities, particularly contemporary philosophy of nature, requires updates of our old definitions of cognition and intelligence. The result of current insights into basal cognition of single cells and evolution of multicellular cognitive systems within the framework of extended evolutionary synthesis (EES) helps us better to understand mechanisms of cognition and intelligence as they appear in nature. New understanding of information and (...) processes of physical (morphological) computation contribute to novel possibilities that can be used to inspire the development of abiotic cognitive systems (cognitive robotics), cognitive computing and artificial intelligence. (shrink)

The key assumption behind evolutionary epistemology is that animals are active learners or ‘knowers’. In the present study, I updated the concept of natural learning, developed by Henry Plotkin and John Odling-Smee, by expanding it from the animal-only territory to the biosphere-as-a-whole territory. In the new interpretation of natural learning the concept of biological information, guided by Peter Corning’s concept of “control information”, becomes the ‘glue’ holding the organism–environment interactions together. The control information guides biological systems, from bacteria to ecosystems, (...) in the process of natural learning executed by the universal algorithm. This algorithm, summarized by the acronym IGPT (information-gain-process-translate) incorporates natural cognitive methods including sensing/perception, memory, communication, and decision-making. Finally, the biosphere becomes the distributed network of communicative interactions between biological systems termed the interactome. The concept of interactome is based on Gregory Bateson’s natural epistemology known as the “ecology of mind”. Mimicking Bateson’s approach, the interactome may also be designated “physiology of mind”—the principle behind regulating the biosphere homeostasis. (shrink)

This article argues for an epistemology of music, stating that dealing with music can be considered as a process of knowledge acquisition. What really matters is not the representation of an ontological musical reality, but the generation of music knowledge as a tool for adaptation to the sonic world. Three major positions are brought together: the epistemological claims of Jean Piaget, the biological methodology of Jakob von Uexküll, and the constructivistic conceptions of Ernst von Glasersfeld, each ingstress the role of (...) the music user rather than the music. Dealing with music, in this view, is not a matter of representation, but a process of semiotization of the sonorous environment as the outcome of interactions with the sound. Hence the role of enactive cognition and perceptual-motor interaction with the sonic environment. What is considered a central issue is the way how listeners as subjects experience their own phenomenal world or Umwelt, and how they can make sense out of their sonic environment. Umwelt-research, therefore, is highly relevant for music education in stressing the role of the listener and his/her listening strategies. (shrink)

Around 540 million years ago there was a sudden, dramatic adaptive radiation known as the Cambrian Explosion. This event marked the origin of almost all of the phyla (major lineages characterized by fundamental body plans) of animals that would ever live on earth, as well the appearance of many notable features such as rigid skeletons and other hard parts, complex jointed appendages, eyes, and brains. This radical evolutionary event has been a major puzzle for evolutionary biologists since Darwin, and while (...) our understanding of it has recently improved with new fossil finds, richer molecular phylogenies, and better grasp of ecological, evolutionary, and developmental processes generally, unanswered questions remain. In this paper I argue that a basic cognitive toolkit for embodied, object-oriented, spatial cognition (what I call Basic Cognitive Embodiment) is a practical necessity for control of a large, mobile, complexly articulated body in space. This hypothesis allows us to relate the complexification of animal bodies to the complexification of perception, cognition and behavior in a way that can help to fill in gaps in our emerging picture of the Cambrian Explosion, as well as shed light on the deep evolutionary origins of the mind. (shrink)

This paper advances the development of a phylogeny-based psychology in which cognitive ability types are individuated as characters in the evolutionary biological sense. I explain the character concept and its utility in addressing (or dissolving) conceptual problems arising from discoveries of cognitive abilities across a wide range of species. I use the examples of stereopsis in the praying mantis, internal cell-to-cell signaling in plants, and episodic memory in scrub jays to show how anthropocentric cognitive ability types can be reformulated into (...) cognitive characters, thereby promoting the integration of psychology with other sciences of evolved traits. (shrink)

I argue that an explicit distinction between cognitive characters and cognitive phenotypes is needed for empirical progress in the cognitive sciences and their integration with evolution-guided sciences. I elaborate what ontological commitment to characters involves and how such a commitment would clarify ongoing debates about the relations between human and nonhuman cognition and the extent of cognitive abilities across biological species. I use theoretical proposals in episodic memory, language, and sociocultural bases of cognition to illustrate how cognitive characters (...) are being introduced in scientific practice. (shrink)

In this article, I argue that the artificial components of hybrid bionic systems do not play a direct explanatory role, i.e., in simulative terms, in the overall context of the systems in which they are embedded in. More precisely, I claim that the internal procedures determining the output of such artificial devices, replacing biological tissues and connected to other biological tissues, cannot be used to directly explain the corresponding mechanisms of the biological component(s) they substitute (and therefore cannot be used (...) to explain the local mechanisms determining an overall biological or cognitive function replicated by such bionic models). I ground this analysis on the use of the Minimal Cognitive Grid (MCG), a novel framework proposed in Lieto (Cognitive design for artificial minds, 2021) to rank the epistemological and explanatory status of biologically and cognitively inspired artificial systems. Despite the lack of such a direct mechanistic explanation from the artificial component, however, I also argue that the hybrid bionic systems can have an indirect explanatory role similar to the one played by some AI systems built by using an overall structural design approach (but including the partial adoption of functional components). In particular, the artificial replacement of part(s) of a biological system can provide i) a local functional account of that part(s) in the context of the overall functioning of the hybrid biological–artificial system and ii) global insights about the structural mechanisms of the biological elements connected to such artificial devices. (shrink)

Much disease and disability is the result of lifestyle behaviours. For example, the contribution of imprudence in the form of smoking, poor diet, sedentary lifestyle, and drug and alcohol abuse to ill-health is now well established. More importantly, some of the greatest challenges facing humanity as a whole – climate change, terrorism, global poverty, depletion of resources, abuse of children, overpopulation – are the result of human behaviour. In this chapter, we will explore the possibility of using advances in the (...) cognitive sciences to develop strategies to intentionally manipulate human motivation and behaviour. While our arguments apply also to improving prudential motivation and behaviour in relation to health, we will focus on the more controversial instance: the deliberate targeted use of biomedicine to improve moral motivation and behaviour. We do this because the challenge of improving human morality is arguably the most important issue facing humankind (Persson and Savulescu, forthcoming). We will ask whether using the knowledge from the biological and cognitive sciences to influence motivation and behaviour erodes autonomy and, if so, whether this makes it wrong. (shrink)

"Living systems are cognitive systems, and living as a process is a process of cognition." -H.R. Maturana, The Biology of Cognition (1970/1980) Just as the cell has gradually come to be understood as a highly regulated and unctionally integrated whole, so too is the biosphere now recognized as a finely balanced ecological whole in which local disturbances can create world-wide climatic catastrophe. The oversimplified ideas of biology that characterized the field in its immature beginning led to (...) the theories of a progressive cumulative development or evolution to explain the present state of Nature. However, today, a more mature understanding of biology has brought with it the realization that Nature can not be the product of a gradual development, based only on the reductionist principles of chemistry and physics. In an ideal situation, where there are no strong interactions with the environment, isolated and purified chemicals may react in a mechanically simple manner, but in a living organism there are no isolated molecules. Everything within the cell interacts with everything else. The constituents of a cell are produced by the cell as much as they produce the cell itself. As the German philosopher Immanuel Kant understood, the unique judgment that allows us to identify a living organism as distinct from non-living matter, is that a living organism is both the cause and effect of itself. Thus, the life of a cell, as much as the life of the biosphere, can only be properly understood as an integrated organic whole. (shrink)

According to Friedrich Schleiermacher, religiosity is rooted in feeling (Gefühl). As a result of our engagement with the world, on which we depend and which we can influence, we have both a sense of dependence and of freedom. Schleiermacher speculated that a sense of absolute dependence in reflective beings with self-consciousness (human beings) gave rise to religion. Using insights from contemporary philosophy of biology and cognitive science, I seek to naturalize Schleiermacher's ideas. I moreover show that this naturalization is (...) in line with Schleiermacher's outlook on biology, as he already had evolutionary considerations in mind when he wrote the Christian Faith (1830). While Schleiermacher rejects natural theology in a narrow sense (proofs for the existence of God), his project is natural theological in a broader sense, as it roots religion in experiences that we can examine using naturalistic theories. (shrink)

The concept of adaptation is employed in many fields such as biology, psychology, cognitive sciences, robotics, social sciences, even literacy and art,1 and its meaning varies quite evidently according to the particular research context in which it is applied. We expect to find a particularly rich catalogue of meanings within evolutionary biology, where adaptation has held a particularly central role since Darwin’s The Origin of Species (1859) throughout important epistemological shifts and scientific findings that enriched and diversified the (...) concept. Accordingly, a conceptual taxonomy of adaptation in evolutionary biology may help to disambiguate it. Interdisciplinary researches focused on adaptation would benefit from such a result. In the present work we recognize and define seven different meanings of adaptation: (1) individual fitness; (2) adaptation of a population; (3) adaptation as the process of natural selection; (4) adaptive traits; (5) molecular adaptation; (6) adaptation as structural tinkering; (7) plasticity. For convenience here, we refer to them as W-, P-, NS-, T-, M-, S- and PL-ADAPTATION. We present the seven meanings in some detail, hinting at their respective origins and conceptual developments in the history of evolutionary thought (references are offered for further deepening). However, it is important to point out that evolution researchers seldom if ever refer to a single meaning purified from the others. This applies also to the authors we cite as representatives of one of the seven meanings. In Discussion and Conclusion draw from our work some future perspectives for adaptation within evolutionary biology. (shrink)

This paper explores the evolution of consciousness and subjectivity through a biological framework for understanding the universe. It posits that functional patterns in biological systems mirror cosmic mathematical principles, defining our objective reality. Similar to wave and Fibonacci patterns in different physical phenomena, biological patterns are intrinsic to all things and can be quantified using Dedre Gentner’s approach to analogy. For example, Earth’s ocean currents and the melting and freezing of Antarctica resemble the circulatory system and heart, while the production (...) of music from instruments is analogous to ribosomal protein synthesis. Shelves, tables, and chairs function like cytosol by holding objects in space, and a coffee cup mirrors red blood cell distribution. These analogies reveal a universal order rooted in biology’s functional patterns, essential for shaping the emergence and evolution of life. The paper traces the development of consciousness from its rudimentary cellular states to complex human cognition, highlighting the role of biologically-patterned environments in driving evolutionary changes. Organisms that recognized and organized according to these patterns evolved as “pattern recognition engines” crucial for survival—thus, Life (survival) being the primary measure of consciousness. Humans advanced this capacity, gaining cognitive freedom by insulating themselves from environmental constraints, but faced increased subjectivity complexity. Consciousness, while inherently subjective and necessary for cognitive development, evolves in humans to understand objective reality and its biological nature, so to understand and navigate complexities of subjectivity. Ultimately, the paper asserts consciousness is the ability to recognize and adhere to life-sustaining patterns and principles. Successful adherence deems them worthy of continued existence, while failure leads to demise. Parallels with historical concepts like Atman and Brahman in Hinduism suggest ancient recognition of the correspondence between human and universal patterns. This ancient understanding, coupled with modern scientific evidence, reveals the interconnectedness and intrinsic biological nature of reality. (shrink)

We received several critical comments regarding the "The Science of Spiritual Biology." We reply to those criticisms in order to further clarify some of the important points that were made. It is only to be expected that a strong emotional response may be evoked by the revolution in scientific thinking that the modern paradigm of cognitive biology presents. We have to be prepared to accept that, and maintain the integrity of the scientific approach.

In the history of external information systems, the World Wide Web presents a significant change in terms of the accessibility and amount of available information. Constant access to various kinds of online information has consequences for the way we think, act and remember. Philosophers and cognitive scientists have recently started to examine the interactions between the human mind and the Web, mainly focussing on the way online information influences our biological memory systems. In this article, we use concepts from the (...) extended cognition and distributed cognition frameworks and from transactive memory theory to analyse the cognitive relations between humans and the Web. We first argue that while neither of these approaches neatly capture the nature of human-Web interactions, both offer useful concepts to describe aspects of such interactions. We then conceptualize relations between the Web and its users in terms of cognitive integration, arguing that most current Web applications are not deeply integrated and are better seen as a scaffold for memory and cognition. Some highly personalised applications accessed on wearable computing devices, however, may already have the capacity for deep integration. Finally, we draw out some of the epistemic implications of our cognitive analysis. (shrink)

For two reasons, physics occupies a preeminent position among the sciences. On the one hand, due to its recognized position as a fundamental science, and on the other hand, due to the characteristic of its obvious certainty of knowledge. For both reasons it is regarded as the paradigm of scientificity par excellence. With its focus on the issue of epistemic certainty, philosophy of science follows in the footsteps of classical epistemology, and this is also the basis of its 'judicial' pretension (...) vis-à-vis physics. Whereas physics is in a strong competitive relationship to philosophy and epistemology with respect to its position as a fundamental science - even on the subject of cognition, as the pretension of 'reductionism' shows. It is the thematic focus on epistemic certainty itself, however, that becomes the root of a profound epistemological misunderstanding of physics. The reason for this is twofold: first, the idea of epistemic certainty as a criterion of 'demarcation' between physics and metaphysics obscures the view of the much deeper heuristic differences between the two kinds of knowledge. The second, related, reason is that epistemology does not ask the question of the reason for the epistemic certainty of physics; instead, it sets itself the task of 'legitimating' physical knowledge, and this, crucially, with reference to the interpretation of the process of cognition. Thus, as a matter of course, all epistemological assumptions about this process – including the common descriptive understanding of knowledge and its ontological premises – flow into the interpretation of physics as a science. Consequently, this undertaking is not only doubtful from the ground up, because it presupposes for its meaningfulness nothing less than certainty of knowledge concerning (the interpretation of) the process of knowledge, thereby relying on mere convictions; moreover, by projecting the descriptive, 'metaphysical' concept of knowledge onto physics, it leads to unsolvable epistemological problems and corresponding resignative conclusions concerning the claim of knowledge of physics. In other words, epistemology itself builds, due to its basic assumptions, a major obstacle for an adequate understanding of physics. Physics' cross-object, deconstructive approach to knowledge implies a completely different, non-descriptive understanding of its concepts, with consequences that extend far beyond itself due to its status as a basic science. (shrink)

The notion of a physiological individuals has been developed and applied in the philosophy of biology to understand symbiosis, an understanding of which is key to theorising about the major transition in evolution from multi-organismality to multi-cellularity. The paper begins by asking what such symbiotic individuals can help to reveal about a possible transition in the evolution of cognition. Such a transition marks the movement from cooperating individual biological cognizers to a functionally integrated cognizing unit. Somewhere along the (...) way, did such cognizing units simultaneously have cognizers as parts? Expanding upon the multiscale integration view of the Free Energy Principle, this paper develops an account of reciprocal integration, demonstrating how some coupled biological cognizing systems, when certain constraints are met, can result in a cognizing unit that is in ways greater than the sum of its cognizing parts. Symbiosis between V. Fischeri bacteria and the bobtail squid is used to provide an illustration this account. A novel manner of conceptualizing biological cognizers as gradient is then suggested. Lastly it is argued that the reason why the notion of ontologically nested cognizers may be unintuitive stems from the fact that our folk-psychology notion of what a cognizer is has been deeply influenced by our folk-biological manner of understanding biological individuals as units of reproduction. (shrink)

Critique of Sarcastic Reason is a philosophical dissertation that combines several different fields in order to pave the way for those studying sarcasm at the neurobiological, communicative and socio-political levels of analysis where sarcasm appears, respectively, through associated brain activity, between two or more individuals with higher level metabeliefs, and as a method by which political, religious and other social ideologies are attacked (i.e., one form of "biting sarcasm"). The academic disciplines involved in Critique of Sarcastic Reason include social cognitive (...) and developmental psychology, neuroscience, critical theory, modern and contemporary philosophy of mind, evolutionary biology, logic, metaphysics and epistemology. Sarcasm is argued to only function at the highest levels of metacognition, and sarcasm occurs within social situations during which there are tendencies for two or more people to form desires and disgusts directly related to beliefs about beliefs. Sarcasm is compared to deception and is argued to be best analyzed as either spontaneous or rehearsed. (shrink)

The role of the body in cognition is acknowledged across a variety of disciplines, even if the precise nature and scope of that contribution remain contentious. As a result, most philosophers working on embodiment—e.g. those in embodied cognition, enactivism, and ‘4e’ cognition—interact with the life sciences as part of their interdisciplinary agenda. Despite this, a detailed engagement with emerging findings in epigenetics and post-genomic biology has been missing from proponents of this embodied turn. Surveying this research (...) provides an opportunity to rethink the relationship between embodiment and genetics, and we argue that the balance of current epigenetic research favours the extension of an enactivist approach to mind and life, rather than the extended functionalist view of embodied cognition associated with Andy Clark and Mike Wheeler, which is more substrate neutral. (shrink)

Presenting an Open Peer Commentary on “In Maturana’s Wake: The Biology of Cognition’s Legacy and its Prospects” by Randall Whitaker, the article suggests that engaging with Maturana's biology of cognition in the context of design is a form of practice rather than application. Maturana's biology of cognition, the article argues, can be conceived of as initiating an educational process that supports agents to act “from within” rather than “from without.”.

Basal cognition investigates cognition working upward from nonneuronal organisms. Because basal cognition is committed to empirically testable hypotheses, a methodological challenge arises: how can experiments avoid using zoocentric assumptions that ignore the ecological contexts that might elicit cognitively driven behavior in nonneuronal organisms? To meet this challenge, I articulate the principle of dynamic holism (PDH), a methodological principle for guiding research on nonneuronal cognition. I describe PDH’s relation to holistic research programs in human-focused cognitive science and (...) psychology then present an argument from analogy based on holistic developmental biology. Last, I examine two experiments exemplifying the need for PDH. (shrink)

The journal of Cognitive Computation is defined in part by the notion that biologically inspired computational accounts are at the heart of cognitive processes in both natural and artificial systems. Many studies of various important aspects of cognition (memory, observational learning, decision making, reward prediction learning, attention control, etc.) have been made by modelling the various experimental results using ever-more sophisticated computer programs. In this manner progressive inroads have been made into gaining a better understanding of the many components (...) of cognition. Concomitantly in both science and science fiction the hope is periodically re-ignited that a manmade system can be engineered to be fully cognitive and conscious purely in virtue of its execution of an appropriate computer program. However, whilst the usefulness of the computational metaphor in many areas of psychology and neuroscience is clear, it has not gone unchallenged and in this article I will review a group of philosophical arguments that suggest either such unequivocal optimism in computationalism is misplaced—computation is neither necessary nor sufficient for cognition—or panpsychism (the belief that the physical universe is fundamentally composed of elements each of which is conscious) is true. I conclude by highlighting an alternative metaphor for cognitive processes based on communication and interaction. (shrink)

This article proposes an abstract mathematical frame for describing some features of cognitive and biological time. We focus here on the so called “extended present” as a result of protentional and retentional activities (memory and anticipation). Memory, as retention, is treated in some physical theories (relaxation phenomena, which will inspire our approach), while protention (or anticipation) seems outside the scope of physics. We then suggest a simple functional representation of biological protention. This allows us to introduce the abstract notion of (...) “biological inertia”. (shrink)

We are all guided by thousands of norms, but how did our capacity for normative cognition evolve? I propose there is a deep but neglected link between normative cognition and practical skill. In modern humans, complex motor skills and craft skills, such as toolmaking, are guided by internally represented norms of correct performance. Moreover, it is plausible that core components of human normative cognition evolved as a solution to the distinctive problems of transmitting complex motor skills and (...) craft skills, especially skills related to toolmaking, through social learning. If this is correct, the expansion of the normative domain beyond technique to encompass more abstract norms of fairness, reciprocity, ritual and kinship involved the elaboration of a basic platform for the guidance of skilled action by technical norms. This article motivates and defends this “skill hypothesis” for the origin of normative cognition and sets out various ways in which it could be empirically tested. (shrink)

Biogenic approaches investigate cognition from the standpoint of evolutionary function, asking what cognition does for a living system and then looking for common principles and exhibitions of cognitive strategies in a vast array of living systems—non-neural to neural. One worry which arises for the biogenic approach is that it is overly permissive in terms of what it construes as cognition. In this paper I critically engage with a recent instance of this way of criticising biogenic approaches in (...) order to clarify their theoretical commitments and prospects. In his critique of the biogenic approach, Fred Adams uses the presence of intentional states with conceptual content as a criterion to demarcate cognition-driven behaviour from mere sensory response. In this paper I agree with Adams that intentionality is the mark of the cognitive, but simultaneously reject his overly restrictive conception of intentionality. I argue that understanding intentionality simpliciter as the mark of the mental is compatible with endorsing the biogenic approach. I argue that because cognitive science is not exclusively interested in behaviour driven by intentional states with the kind of content Adams demands, the biogenic approach’s status as an approach to cognition is not called into question. I then go on to propose a novel view of intentionality whereby it is seen to exist along a continuum which increases in the degree of representational complexity: how far into the future representational content can be directed and drive anticipatory behaviour. Understanding intentionality as existing along a continuum allows biogenic approaches and anthropogenic approaches to investigate the same overarching capacity of cognition as expressed in its different forms positioned along the continuum of intentionality. Even if all organisms engage in some behaviour that is driven by weak intentional dynamics, this does not suggest that every behaviour of all organisms is so driven. As such, the worry that the biogenic approach is overly permissive can be avoided. (shrink)

Book Description (Blurb): Cognitive Design for Artificial Minds explains the crucial role that human cognition research plays in the design and realization of artificial intelligence systems, illustrating the steps necessary for the design of artificial models of cognition. It bridges the gap between the theoretical, experimental and technological issues addressed in the context of AI of cognitive inspiration and computational cognitive science. -/- Beginning with an overview of the historical, methodological and technical issues in the field of Cognitively-Inspired (...) Artificial Intelligence, Lieto illustrates how the cognitive design approach has an important role to play in the development of intelligent AI technologies and plausible computational models of cognition. Introducing a unique perspective that draws upon Cybernetics and early AI principles, Lieto emphasizes the need for an equivalence between cognitive processes and implemented AI procedures, in order to realise biologically and cognitively inspired artificial minds. He also introduces the Minimal Cognitive Grid, a pragmatic method to rank the different degrees of biologically and cognitive accuracy of artificial systems in order project and predict their explanatory power with respect to the natural systems taken as source of inspiration. -/- Providing a comprehensive overview of cognitive design principles in constructing artificial minds, this text will be essential reading for students and researchers of artificial intelligence and cognitive science. (shrink)

Predictive processing (PP) has been repeatedly presented as a unificatory account of perception, action, and cognition. In this paper, we argue that this is premature: As a unifying theory, PP fails to deliver general, simple, homogeneous, and systematic explanations. By examining its current trajectory of development, we conclude that PP remains only loosely connected both to its computational framework and to its hypothetical biological underpinnings, which makes its fundamentals unclear. Instead of offering explanations that refer to the same set (...) of principles, we observe systematic equivocations in PP‐based models, or outright contradictions with its avowed principles. To make matters worse, PP‐based models are seldom empirically validated, and they are frequently offered as mere just‐so stories. The large number of PP‐based models is thus not evidence of theoretical progress in unifying perception, action, and cognition. On the contrary, we maintain that the gap between theory and its biological and computational bases contributes to the arrested development of PP as a unificatory theory. Thus, we urge the defenders of PP to focus on its critical problems instead of offering mere re‐descriptions of known phenomena, and to validate their models against possible alternative explanations that stem from different theoretical assumptions. Otherwise, PP will ultimately fail as a unified theory of cognition. (shrink)

The articles in this issue reflect the results of the 25th Altenberg Workshop in Theoretical Biology on ‘‘The Meaning of ‘Theory’ in Biology’’ held at the Konrad Lorenz Institute for Evolution and Cognition Research, Altenberg, Austria, 30 June–3 July, 2011.