Using a model of cognition as extended and enactive, we examine the role of materiality in making minds as exemplified by lithics and writing, forms associated with conceptual thought and meta-awareness of conceptual domains. We address ways in which brain functions may change in response to interactions with material forms, the attributes of material forms that may cause such change, and the spans of time required for neurofunctional reorganization. We also offer three hypotheses for investigating co-influence and change in cognition (...) and material culture. This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No. 785793. (shrink)

Only our lineage has ever used trackways reading to find unseen and unheard targets. All other terrestrial animals, including our great ape cousins, use scent trails and airborne odors. Because trackways as natural signs have very different properties, they possess an information-rich narrative structure. There is good evidence we began to exploit conspecific trackways in our deep past, at first purely associatively, for safety and orienteering when foraging in vast featureless wetlands. Since our own old trackways were recognizable they were (...) self-mirroring, triggering memories of what we had been up to in the past. Using them to find our way back to the band when temporarily lost or to re-find a resource-rich area discovered the day before enabled optimal foraging. Selection for daily reiteration of one’s own old trackways therefore triggered the evolution of what is distinctive about human cognition: the autobiographical or narrative (episodic) faculty for imaginative self-projection. This faculty enabled us to glean useful social information from the stories “told” by other band members’ old trackways, and created spin-off capacities for fast-track social learning. Resultant increases in socioecological complexity then created positive selective feedback loops for further entrenchment. Incrementally we became the ultra-social narrative-minded ape, capable of creating cumulative culture. (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)

I start with a brief assessment of the implications of Sterelny’s anti-individualist, anti-internalist apprentice learning model for a more historical and interdisciplinary cognitive science. In a selective response I then focus on two core features of his constructive account: collaboration and skill. While affirming the centrality of joint action and decision making, I raise some concerns about the fragility of the conditions under which collaborative cognition brings benefits. I then assess Sterelny’s view of skill acquisition and performance, which runs (...) counter to dominant theories that stress the automaticity of skill. I suggest that it may still overestimate the need for and ability of experts to decompose and represent the elements of their own practical knowledge. (shrink)

Biological evolution and technological innovation, while differing in many respects, also share common features. In particular, implementation of a new technology in the market is analogous to the spreading of a new genetic trait in a population. Technological innovation may occur either through the accumulation of quantitative changes, as in the development of the ocean clipper, or it may be initiated by a new combination of features or subsystems, as in the case of steamships. Other examples of the latter (...) type are electric networks that combine the generation, distribution, and use of electricity, and containerized transportation that combines standardized containers, logistics, and ships. Biological evolution proceeds, phenotypically, in many small steps, but at the genetic level novel features may arise not only through the accumulation of many small, common mutational changes, but also when distinct, relatively rare genetic changes are followed by many further mutations. In particular, capabilities of biologically modern man may have been initiated, perhaps some 150 000 years ago, by one or few accidental but distinct combinations of modules and subroutines of gene regulation which are involved in the generation of the neural network in the cerebral cortex. It is even conceivable that it was one primary genetic event that initiated the evolution of biologically modern man, introducing some novel but subtle feature of connectivity into the cerebral cortex which allowed for meta-levels of abstraction and upgraded modes of information processing. This may have set the stage for the evolution of integrated but diverse higher capabilities such as structured language, symbolic thought, strategic thought, and cognition based empathy. (shrink)

In this paper, we examine the role of materiality in human cognition. We address issues such as the ways in which brain functions may change in response to interactions with material forms, the attributes of material forms that may cause change in brain functions, and the spans of time required for brain functions to reorganize when interacting with material forms. We then contrast thinking through materiality with thinking about it. We discuss these in terms of their evolutionary significance and (...) history as attested by stone tools and writing, material forms whose interaction endowed our lineage with conceptual thought and meta-awareness of conceptual domains. (shrink)

Humans leverage material forms for unique cognitive purposes: We recruit and incorporate them into our cognitive system, exploit them to accumulate and distribute cognitive effort, and use them to recreate phenotypic change in new individuals and generations. These purposes are exemplified by writing, a relatively recent tool that has become highly adept at eliciting specific psychological and behavioral responses in its users, capability it achieved by changing in ways that facilitated, accumulated, and distributed incremental behavioral and psychological (...) change between individuals and generations. Writing is described here as a self-organizing system whose design features reflect points of maximal usefulness that emerged under sustained collective use of the tool. Such self-organization may hold insights applicable to human cognitive evolution and tool use more generally. Accordingly, this article examines the emergence of the ability to leverage material forms for cognitive purposes, using the tool-using behaviors and lithic technologies of ancestral species and contemporary non-human primates as proxies for matters like collective use, generational sustainment, and the non-teleological emergence of design features. (shrink)

Our intuition tells us that there is a general trend in the evolution of nature, a trend towards greater complexity. However, there are several definitions of complexity and hence it is difficult to argue for or against the validity of this intuition. Christoph Adami has recently introduced a novel measure called physical complexity that assigns low complexity to both ordered and random systems and high complexity to those in between. Physical complexity measures the amount of information that an organism (...) stores in its genome about the environment in which it evolves. The theory of physical complexity predicts that evolution increases the amount of ‘knowledge’ an organism accumulates about its niche. It might be fruitful to generalize Adami’s concept of complexity to the entire evolution (including the evolution of man). Physical complexity fits nicely into the philosophical framework of cognitive biology which considers biological evolution as a progressing process of accumulation of knowledge (as a gradual increase of epistemic complexity). According to this paradigm, evolution is a cognitive ‘ratchet’ that pushes the organisms unidirectionally towards higher complexity. Dynamic environment continually creates problems to be solved. To survive in the environment means to solve the problem, and the solution is an embodied knowledge. Cognitive biology (as well as the theory of physical complexity) uses the concepts of information and entropy and views the evolution from both the information-theoretical and thermodynamical perspective. Concerning humans as conscious beings, it seems necessary to postulate an emergence of a new kind of knowledge - a self-aware and self-referential knowledge. Appearence of selfreflection in evolution indicates that the human brain reached a new qualitative level in the epistemic complexity. (shrink)

Cognitive archaeology is a relatively new interdisciplinary science that uses cognitive and psychological models to explain archaeological artifacts like stone tools, figurines, and art. Edited by cognitive archaeologist Karenleigh A. Overmann and psychologist Frederick L. Coolidge, Squeezing Minds From Stones is a collection of essays, from both early pioneers and 'up and coming' newcomers in the field, that addresses a wide variety of cognitive archaeology topics, including the value of experimental archaeology, primate archaeology, the intent of (...) ancient tool makers, and how they may have lived and thought. (shrink)

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)

In the late summer of 1998, the authors, a cognitive scientist and a logician, started talking about the relevance of modern mathematical logic to the study of human reasoning, and we have been talking ever since. This book is an interim report of that conversation. It argues that results such as those on the Wason selection task, purportedly showing the irrelevance of formal logic to actual human reasoning, have been widely misinterpreted, mainly because the picture of logic (...) current in psychology and cognitive science is completely mistaken. We aim to give the reader a more accurate picture of mathematical logic and, in doing so, hope to show that logic, properly conceived, is still a very helpful tool in cognitive science. The main thrust of the book is therefore constructive. We give a number of examples in which logical theorizing helps in understanding and modeling observed behavior in reasoning tasks, deviations of that behavior in a psychiatric disorder (autism), and even the roots of that behavior in the evolution of the brain. (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)

This article has two goals. First, it synthesizes and critically assesses current scientific knowledge about the cognitive bases of human tool use. Second, it shows how the cognitive traits reviewed help to explain why technological accumulation evolved so markedly in humans, and so modestly in apes.

Music is a universal human activity. Its evolution and its value as a cognitive resource are starting to come into focus. This chapter endeavors to give readers a clearer sense of the adaptive aspects of music, as well as the underlying cognitive and neural structures. Special attention is given to the important emotional dimensions of music, and an evolutionary argument is made for thinking of music as a prelinguistic embodied form of cognition—a form that is still (...) available to us as contemporary music creators and consumers. (shrink)

This paper discusses the ecological case for epistemic innocence: does biased cognition have evolutionary benefits, and if so, does that exculpate human reasoners from irrationality? Proponents of ‘ecological rationality’ have challenged the bleak view of human reasoning emerging from research on biases and fallacies. If we approach the human mind as an adaptive toolbox, tailored to the structure of the environment, many alleged biases and fallacies turn out to be artefacts of narrow norms and artificial set-ups. However, (...) we argue that putative demonstrations of ecological rationality involve subtle locus shifts in attributions of rationality, conflating the adaptive rationale of heuristics with our own epistemic credentials. By contrast, other cases also involve an ecological reframing of human reason, but do not involve such problematic locus shifts. We discuss the difference between these cases, bringing clarity to the rationality debate. (shrink)

Some transhumanists argue that we must engage with theories and facts about our evolutionary past in order to promote future enhancements of the human body. At the same time, they call our attention to the flawed character of evolution and argue that there is a mismatch between adaptation to ancestral environments and contemporary life. One important trait of our evolutionary past which should not be ignored, and yet may hinder the continued perfection of humankind, is the peculiarly (...) class='Hi'>human way of bearing and raising children. The suffering associated with childbirth and a long childhood have demanded trade-offs that have enhanced our species, leading to cooperation, creativity, intelligence and resilience. Behaviors such as mother–infant engagement, empathy, storytelling, and ritual have also helped to create what we value most in human beings. Therefore, the moral, cognitive, and emotional enhancements proposed by these transhumanists may be impaired by their partial appropriation of evolution, insofar as the bittersweet experience of parenthood is left aside. (shrink)

I briefly present and motivate a ‘skill hypothesis’ regarding the evolution of human normative cognition. On this hypothesis, the capacity to internally represent action-guiding norms evolved as a solution to the distinctive problems of standardizing, learning and teaching complex motor skills and craft skills, especially skills related to toolmaking. We have an evolved cognitive architecture for internalizing norms of technique, which was then co-opted for a rich array of social functions. There was a gradual expansion of the (...) normative domain, with ritual playing an important role in bridging the gap between concrete, enacted norms and general, abstract norms, such as kinship norms. I conclude by stating nine predictions arising from the skill hypothesis. (shrink)

Heyes’ book is an essential addition to the literature on human uniqueness. Her main claim is that the key human cognitive capacities are products of cultural rather than genetic evolution. Among these distinctively human capacities are causal understanding, episodic memory, imitation, mindreading, and normative thinking. According to Heyes, they emerged not by genetic mutation but by innovations in cognitive development. She calls these mechanisms ‘cognitive gadgets.’ This is perhaps one of the best and (...) most comprehensive views of human cognitive evolution advanced in recent years. (shrink)

Aspects of human symbolic evolution are studied by scholars active in a variety of fields and disciplines in the life and the behavioral sciences as well as the scientific-philosophical, sociological, anthropological, and linguistic sciences. These fields and disciplines all take on an evolutionary approach to the study of human symbolism, but scholars disagree in their theoretical and methodological attitudes. Theoretically, symbolism is defined differentially as knowledge, behavior, cognition, culture, language, or social group living. Methodologically, the diverse symbolic (...) evolution sciences establish their teachings upon diverging evolutionary biological schools and paradigms. This chapter reviews past and current research fields in human symbolic evolution for how they differentially implement tenets of the major evolution schools that were discussed in the previous chapter. Traditional evolutionary epistemology and biosemiotics bring in a mesoevolutionary outlook by drawing on early Darwinism and evolutionary developmental biology movements that emphasize the role of the organism in evolution. Communication studies instead originally take on a microevolutionary perspective by investigating how units of information are transmitted across generations through time. Only later do they integrate studies on meaning-making at the organismal level. Sociobiology complements a microevolutionary with a macroevolutionary outlook by implementing population genetic approaches, typical of the Modern Synthesis, into studies on individual and group behavior. The new symbolic evolutionary sciences build upon these traditions and include disciplines such as evolutionary psychology, evolutionary linguistics, evolutionary anthropology, evolutionary archaeology, evolutionary sociology, and evolutionary economics. Originally centered on implementing Darwinian selection theory, these fields are now including ecological and evolutionary developmental biology as well as reticulate evolutionary paradigms. As diverse in outlook and scope as they are, no discipline holds a privileged position over the other and all have made valuable contributions to our understanding of human symbolic evolution. (shrink)

What might be the fundamental psychology of intelligence naturally selected in biological evolution to minimize, prevent, and cure social and personal issues like war, crime, commit suicide, homicide, theft, drug addictions, and so on? How to achieve a higher level of well-being? I found a primary cognitive limiting factor called mind viruses (MV)(more than 3000) which regresses intelligence and well-being and makes the grand delusion: remedies are healthy mind viruses(HMV)(3000). Here, I show the disclosed core of early Buddhist (...) teachings (on learning, training the mind, and behavior on the 8-fold psychological course psychologically 'program' for better (intelligent) decisions. A theoretical 3D graph might represent the state of evolution of intelligence, nature, nurture, X-ultra quantum unique consciousness particle (X-UQUPC), and psychological well-being with the psychological time of a person. To this hypothesis, if the afterlife occurs, the natural selection of vacant zygote/early embryo neurons of the next life and their quality might depend on the finally evolved X-ultra quantum genomic particle of consciousness (X-UQGPC). Therefore, the quality, including the species of the new life and its nurture in the universe/s, depends on the quality of the finally evolved X-UQGPC. Such natural selection of a new nurturing environment for future (promising)life might be uncertain and, therefore, a high risk of finding a life-consciousness in great nature and nurture. However, there may be more mysterious issues to be solved in future research; therefore, the article might not discuss a theory of everything on the central theme. -/- . (shrink)

IntroductionBy ‘philosophy of consciousness’ we mean an assembly of different approaches such as philosophy of mind , perception, rational conclusions, information processing and contradictory conceptions such as holistic ‘all is mind’ perspectives and their atomistic counterparts.Since ancient Greeks philosophy has provided widespread debates on pneuma, nous, psyche, spiritus, mind, and Geist. In more recent times the philosophy of consciousness has become part of psychology, sociology, neuroscience, cognitive science, linguistics, communication science, information theory, cybernetic systems theory, synthetic biology, biolinguistics, bioinformatics (...) and biosemiotics.However, no matter what each of these approaches presents as a coherent explanation of the human mind, thinking, and consciousness, they remain alien to our self-awareness and self-reflection-based understanding because they do not offer a rational and at the same time .. (shrink)

The field of language evolution has recently made Gricean pragmatics central to its task, particularly within comparative studies between human and non-human primate communication. The standard model of Gricean communication requires a set of complex cognitive abilities, such as belief attribution and understanding nested higher-order mental states. On this model, non-human primate communication is then of a radically different kind to ours. Moreover, the cognitive demands in the standard view are also too high for (...) human infants, who nevertheless do engage in communication. In this paper I critically assess the standard view and contrast it with an alternative, minimal model of Gricean communication recently advanced by Richard Moore. I then raise two objections to the minimal model. The upshot is that this model is conceptually unstable and fails to constitute a suitable alternative as a middle ground between full-fledged human communication and simpler forms of non-human animal communication. (shrink)

Investigation into the sequence structure of the genetic code by means of an informatic approach is a real success story. The features of human language are also the object of investigation within the realm of formal language theories. They focus on the common rules of a universal grammar that lies behind all languages and determine generation of syntactic structures. This universal grammar is a depiction of material reality, i.e., the hidden logical order of things and its relations determined by (...) natural laws. Therefore mathematics is viewed not only as an appropriate tool to investigate human language and genetic code structures through computer sciencebased formal language theory but is itself a depiction of material reality. This confusion between language as a scientific tool to describe observations/experiences within cognitive constructed models and formal language as a direct depiction of material reality occurs not only in current approaches but was the central focus of the philosophy of science debate in the twentieth century, with rather unexpected results. This article recalls these results and their implications for more recent mathematical approaches that also attempt to explain the evolution of human language. (shrink)

The evolution from pre-human primates to modern Homo sapiens is a complex one involving many domains, ranging from the material to the social to the cognitive, both at the individual and the community levels. This article focuses on a critical qualitative transition that took place during this evolution involving both the social and the cognitive domains. For the social domain, the transition is from the face-to-face forms of social interaction and organization that characterize the non- (...) class='Hi'>human primates that reached, with Pan, a hiatus due to the centripetal effects that highly individualized behavior has on a social system. The transition is to the relation-based forms of social organization that evolved in the hominins ancestral to Homo sapiens and are universal in human societies today. For the cognitive domain, this transition involves going from behavior responding mainly to phenomenal level sensory inputs to behavior formed in accordance with the concept of a relation, initially abstracted from behavior patterns, then extending the concept of a relation beyond abstraction from behavior patterns to the concept of a relation generated recursively through constructing the relation of a relation. This extension made possible the construction of systems of relations; initially genealogical systems of relations constructed culturally using the logic of recursion, and subsequently, the symbolic, computational systems of kin term relations referred to by anthropologists as kinship terminologies. The latter are “constructed realities” in the sense this term is used by cultural anthropologists. It follows that the evolution of relation-based systems of social interaction is not adequately accounted for through population model evolutionary accounts such as the Dual Inheritance Theory of human evolution since “constructed realities” constitute collectively and publicly shared cultural knowledge rather than the individually and privately possessed knowledge that is assumed in the population model framework for human evolution. (shrink)

Humans are uncontroversially better than other species at learning from their peers. A key example of this is imitation, the ability to reproduce both the means and ends of others’ behaviours. Imitation is critical to the acquisition of a number of uniquely human cultural and cognitive traits. However, while authors largely agree on the importance of imitation, they disagree about the origins of imitation in humans. Some argue that imitation is an adaptation, connected to the ‘Mirror Neuron System’ (...) that evolved to facilitate action understanding and the learning of social behaviours. Others argue that imitation is a cultural practice learned in childhood, and that there is no evidence that it evolved genetically. We offer a third alternative that is consistent with both data that the human brain is optimised for imitation, and consistent with its being substantially learned. We hypothesise that at some point in human history humans underwent natural selection for two imitation-relevant abilities – specifically, (i) the tendency to be more attentive to our peers, and (ii) fine motor skill in the manual and oro-facial domains. These changes enabled us to excel at both learning to imitate, and learning by imitating. (shrink)

The premise of this paper is that there are three distinct and hierarchical ‘categories of knowledge’ (Pharoah 2018). The first of these is physiological knowledge which is acquired over generations through the interaction between replicating lineages and the environment. This interaction facilitates the evolution of me-aningful physiological structures, forms, functions, and qualitative ascriptions. Second, there is phenomenal knowledge which is qualified by the utilisation of real-time experience to effect an individuated spatiotemporal subjective perspective. This capability requires sophisticated cognitive (...) capabilities. Conceptual knowledge is the third category and constitutes a network of abstracted principles about the spatiotemporal and phenomenal world of experience. From this starting premise, I argue that human knowledge can still be viewed as impove-rished because of the absence of the next category which has not yet emerged. I suggest that this category will be apparent when a fuller understanding is acquired concerning the dynamic nature of concept construction and structuring. This will demand a transdisciplinary and multimodal approach. (shrink)

A network of gene regulation organized in a hierarchical and combinatorial manner is crucially involved in the development of the neural network, and has to be considered one of the main substrates of genetic change in its evolution. Though qualitative features may emerge by way of the accumulation of rather unspecific quantitative changes, it is reasonable to assume that at least in some cases specific combinations of regulatory parts of the genome initiated new directions of evolution, leading to (...) novel capabilities of the brain. These notions are applied, in this paper, to the evolution of the capability of cognition-based human empa­thy. It is suggested that it has evolved as a secondary effect of the evolution of strategic thought. Development of strategies depends on abstract representations of one’s own pos­sible future states in one’s own brain to allow assessment of their emotional desirability, but also on the representation and emotional evaluation of possible states of others, allowing anticipation of their behaviour. This is best achieved if representations of others are con­nected to one’s own emotional centres in a manner similar to self-representations. For this reason, the evolution of the human brain is assumed to have established representations with such linkages. No group selection is involved, because the quality of strategic thought affects the fitness of the individual. A secondary effect of this linkage is that both the actual states and the future perspectives of others elicit vicarious emotions, which may contribute to the motivations of altruistic behaviour. (shrink)

What makes fast, cumulative cultural evolution work? Where did it come from? Why is it the sole preserve of humans? We set out a self-assembly hypothesis: cultural evolution evolved culturally. We present an evolutionary account that shows this hypothesis to be coherent, plausible, and worthy of further investigation. It has the following steps: (0) in common with other animals, early hominins had significant capacity for social learning; (1) knowledge and skills learned by offspring from their parents began to (...) spread because bearers had more offspring, a process we call CS1 (or Cultural Selection 1); (2) CS1 shaped attentional learning biases; (3) these attentional biases were augmented by explicit learning biases (judgements about what should be copied from whom). Explicit learning biases enabled (4) the high-fidelity, exclusive copying required for fast cultural accumulation of knowledge and skills by a process we call CS2 (or Cultural Selection 2), and (5) the emergence of cognitive processes such as imitation, mindreading and metacognition – ‘cognitive gadgets’ specialised for cultural learning. This self-assembly hypothesis is consistent with archaeological evidence that the stone tools used by early hominins were not dependent on fast, cumulative cultural evolution, and suggests new priorities for research on ‘animal culture’. (shrink)

Cultural epidemiology is a theoretical framework that enables historical studies to be informed by cognitive science. It incorporates insights from evolutionary psychology (viz. cultural evolution is constrained by universal properties of the human cognitive apparatus that result from biological evolution) and from Darwinian models of cultural evolution (viz. population thinking: cultural phenomena are distributions of resembling items among a community and its habitat). Its research program includes the study of the multiple cognitive mechanisms (...) that cause the distribution, on a cultural scale, of representations and material cultural items. By a detailed analysis of the social cognitive causal chain that occurred in the past, one can find out – and specify – which are the factors of attraction that account for cultural stability as well as historical cultural change. After reviewing recent research and developments in cognitive history, I present the concept of cultural attractor and explain why cultural attractors are historically variable. In doing so, I emphasize the role of historically constituted cognitive mechanisms, which account for much of historical cultural developments. I argue that the framework of cultural epidemiology can better account for these important historical phenomena than either evolutionary psychology accounts of culture or dual inheritance theory. I conclude that describing and explaining the history of cultural attractors is a good research goal for historians. (shrink)

This paper proposes that existing computational modeling research programs may be combined into platforms for the information of public policy. The main idea is that computational models at select levels of organization may be integrated in natural terms describing biological cognition, thereby normalizing a platform for predictive simulations able to account for both human and environmental costs associated with different action plans and institutional arrangements over short and long time spans while minimizing computational requirements. Building from established research programs, (...) the proposal aims to take advantage of current momentum in the direction of the integration of the cognitive with social and natural sciences, reduce start-up costs and increase speed of development. These are all important upshots given rising unease over the potential for AI and related technologies to shape the world going forward. (shrink)

The standard view of classical cognitive science stated that cognition consists in the manipulation of language-like structures according to formal rules. Since cognition is ‘linguistic’ in itself, according to this view language is just a complex communication system and does not influence cognitive processes in any substantial way. This view has been criticized from several perspectives and a new framework (Embodied Cognition) has emerged that considers cognitive processes as non-symbolic and heavily dependent on the dynamical interactions between (...) the cognitive system and its environment. But notwithstanding the successes of the embodied cognitive science in explaining low-level cognitive behaviors, it is still not clear whether and how it can scale up for explaining high-level cognition. In this paper we argue that this can be done by considering the role of language as a cognitive tool: i.e. how language transforms basic cognitive functions in the high-level functions that are characteristic of human cognition. In order to do that, we review some computational models that substantiate this view with respect to categorization and memory. Since these models are based on a very rudimentary form of non-syntactic ‘language’ we argue that the use of language as a cognitive tool might have been an early discovery in hominid evolution, and might have played a substantial role in the evolution of language itself. (shrink)

Guided by neuroscience, animal behavior, evolution, philosophy, and psychology, Asma burrows deep into the human psyche to look right at the enigmatic but powerful engine that is our improvisational creativity—the source, he argues, of our remarkable imaginational capacity. How is it, he asks, that a story can evoke a whole world inside of us? How are we able to rehearse a skill, a speech, or even an entire scenario simply by thinking about it? How does creativity go beyond (...) experience and help us make something completely new? And how does our moral imagination help us sculpt a better society? As he shows, we live in a world that is only partly happening in reality. Huge swaths of our cognitive experiences are made up by “what-ifs,” “almosts,” and “maybes,” an imagined terrain that churns out one of the most overlooked but necessary resources for our flourishing: possibilities. Considering everything from how imagination works in our physical bodies to the ways we make images, from the mechanics of language and our ability to tell stories to the creative composition of self-consciousness, Asma expands our personal and day-to-day forms of imagination into a grand scale: as one of the decisive evolutionary forces that has guided human development from the Paleolithic era to today. The result is an inspiring look at the rich relationships among improvisation, imagination, and culture, and a privileged glimpse into the unique nature of our evolved minds. (shrink)

This book develops a theory of how the imagination functions, and how it evolved. The imagination is characterized as an embodied cognitive system. The system draws upon sensory-motor, visual, and linguistic capacities, but it is a flexible, developmental ability, typified by creative improvisation. The imagination is a voluntary simulation system that draws on perceptual, emotional, and conceptual elements, for the purpose of creating works that adaptively investigate external (environmental) and internal (psychological) resources. Beyond the adaptive useful values of this (...) system, imagination also possesses significant intrinsic value (e.g., in the joy of play, and states of wonder). The book argues that imagination is not a late arrival in the evolution of mind, but one of the earliest human abilities. (shrink)

In my essay, I will argue that evolution does not undermine naturalism. This is because Alvin Plantinga’s evolutionary argument against naturalism rests on a false and unmotivated premise and is thus invalid. My argument consists of two parts: In the expository part, I outline Plantinga’s evolutionary argument against naturalism in considerable detail (section 2). In the argumentative part, I firstly pose William Ramsey’s challenge to Plantinga’s probabilistic claim that the reliability of human cognitive faculties is low and (...) critically examine Plantinga’s response in order to reinforce it (section 3). Secondly, I attack Plantinga’s understanding of human evolution, which motivates his cognitive skepticism, as being unduly narrow (section 4). (shrink)

I argue that uniquely human forms of ‘Theory of Mind’ are a product of cultural evolution. Specifically, propositional attitude psychology is a linguistically constructed folk model of the human mind, invented by our ancestors for a range of tasks and refined over successive generations of users. The construction of these folk models gave humans new tools for thinking and reasoning about mental states—and so imbued us with abilities not shared by non-linguistic species. I also argue that uniquely (...) human forms of ToM are not required for language development, such that an account of the cultural origins of ToM does not jeopardise the explanation of language development. Finally, I sketch a historical model of the cultural evolution of mental state talk. (shrink)

This paper will outline a series of changes in the archaeological record related to Hominins. I argue that these changes underlie the emergence of the capacity for strategic thinking. The paper will start by examining the foundation of technical skills found in primates, and then work through various phases of the archaeological and paleontological record. I argue that the key driver for the development of strategic thinking was the need to expand range sizes and cope with increasingly heterogeneous environments.

Guided by key insights of the four great philosophers mentioned in the title, here, in review of and expanding on our earlier work (Burchard, 2005, 2011), we present an exposition of the role played by language, & in the broader sense, λογοζ, the Logos, in how the CNS, the brain, is running the human being. Evolution by neural Darwinism has been forcing the linguistic nature of mind, enabling it to overcome & exploit the cognitive gap between an (...) animal and its world by recognizing environmental structures. Our work was greatly influenced by Heidegger’s lecture notes on metaphysics (Heidegger, 1935). We found agreement with recent progress in neuroscience, but also mathematical foundations of language theory, equating Logos with the mathematical concept of structure. The mystery of perception across the gap is analyzed as radiation and molecules impinging on sensory neurons that carry linguistic information about gross environmental structures, and only remotely about the physical reality of elementary particles. The most important logical brain function is Ego or Self, guiding the workings of the brain as a logos machine. Ego or Self operates from neurons in frontopolar cortex with global receptive fields. The logos machine can function only by availing itself of global context, its internally stored noumenal cosmos NK, and the categorical-conceptual apparatus CCA, updated continually through the neural default mode network (Raichle, 2005). In the Transcendental Deduction, Immanuel Kant discovered that Ego or Self is responsible for conscious control in perception relying on concepts & categories for a fitting percept to be incorporated intoNK. The entire CNS runs as a “movie-in-the-brain” (Parvizi & Damasio, 2001), at peak speed processing simultaneously in a series of cortical centers a stack of up to twelve frames in gamma rhythm of 25 ms intervals. We equate global context, or NK, with our human world, Heidegger’s Dasein being-in-the-world, and are able to demonstrate that the great philosopher in EM parallels neuro-science concerning the human mind. (shrink)

Bayesian cognitive science is a research programme that relies on modelling resources from Bayesian statistics for studying and understanding mind, brain, and behaviour. Conceiving of mental capacities as computing solutions to inductive problems, Bayesian cognitive scientists develop probabilistic models of mental capacities and evaluate their adequacy based on behavioural and neural data generated by humans (or other cognitive agents) performing a pertinent task. The overarching goal is to identify the mathematical principles, algorithmic procedures, and causal mechanisms that (...) enable cognitive agents to take uncertainty into account and weigh it appropriately in producing adaptive behaviour. -/- The appeal of Bayesian cognitive science derives from its transparency, normativity, and unifying power. Resources from Bayesian statistics allow cognitive scientists to characterise transparently, in terms of random variables and probabilistic dependencies between them, the inductive problems that many mental capacities are presumed to solve. Given this characterisation, researchers can define an upper bound on one’s performance on that problem and use it as a benchmark for interpreting experimental results, formulating hypotheses about why and when deviations from optimal performance should be expected, and seeking explanations of mental capacities within one encompassing theoretical framework. -/- Although critics question the testability, explanatory power, and plausibility of Bayesian models of mental capacities, Bayesian cognitive science has proved itself to be an incredibly fruitful research programme. Fuelled by empirical and theoretical results from psychology, neuroscience, philosophy, computer science, artificial intelligence, and evolution, Bayesian cognitive science has: advanced our understanding of why cognitive systems should keep track of uncertainty and use it to facilitate adaptive behaviour; clarified how the brain might encode information about the uncertainty of its stimuli and perform computations with probability distributions; and crystallised the insight that cognitive agents’ management of uncertainty might be grounded in predictive processes aimed at avoiding surprising exchanges with the environment. (shrink)

The causal premise of the evolutionary debunking argument contends that human moral beliefs are explained by the process of natural selection. While it is universally acknowledged that such a premise is fundamental to the debunker’s case, the vast majority of philosophers focus instead on the epistemic premise that natural selection does not track moral truth and the resulting skeptical conclusion. Recently, however, some have begun to concentrate on the causal premise. So far, the upshot of this small but growing (...) literature has been that the causal premise is likely false due to the seemingly persuasive evidence that our moral beliefs are in fact not the result of natural selection. In this paper, I argue that this view is mistaken. Specifically, I advocate the Innate Biases Model, which contends that there is not only compelling evidence for an evolved cognitive capacity for acquiring norms but also for the existence of an evolutionarily instilled set of cognitive biases that make it either more or less likely that we adopt certain moral beliefs. (shrink)

Humans are cognitive entities. Our ongoing interactions with the environment are threaded with creations and usages of meaningful information. Animal life is also populated with meaningful information related to survival constraints. Information managed by artificial agents can also be considered as having meanings, as derived from the designer. Such perspective brings us to propose an evolutionary approach to cognition based on meaningful information management. We use a systemic tool, the Meaning Generator System (MGS), and apply it consecutively to animals, (...) humans and artificial agents [1, 2]. The MGS receives information from its environment and compares it with its constraint. The generated meaning is the connection existing between the received information and the constraint. It triggers an action aimed at satisfying the constraint. The action modifies the environment and the generated meaning. Meaning generation links agents to their environments. The MGS is a system: a set of elements linked by a set of relations. Any system submitted to a constraint and capable of receiving information can lead to a MGS. Animals, humans and robots are agents containing MGSs dealing with different constraints. Similar MGSs carrying different constraints will generate different meanings. Cognition is system dependent. Contrary to approaches on meaning generation based on psychology or linguistics, the MGS approach is not based on human mind. We want to avoid the circularity of taking human mind as a starting point. Free will and self-consciousness participate to the management of human meanings. They do not exist for animals or robots. Staying alive is a constraint that we share with animals. Robots ignore that constraint. We first use the MGS for animals with “stay alive” and “group life” constraints. The analysis of meaning and cognition in animals is however limited by our un-complete understanding of the nature of life (the question of final causes). Extending the analysis of meaning generation and cognition to humans is complex and has some true limitations as the nature of human mind is a mystery for today science and philosophy. The natures of our feelings, free will or self-consciousness are unknown. Approaches to identify human constraints are however possible, where the MGS can highlight some openings [3, 4]. Modeling meaning management in artificial agents is rather straightforward with the MGS. We, the designers, know the agents and the constraints. The derived nature of constraints, meaning and cognition is however to be highlighted. We define a meaningful representation of an item for an agent as being the networks of meanings relative to the item for the agent, with the action scenarios involving the item. Such meaningful representations embed the agents in their environments and are far from the GOFAI type of representations. Cognition, meanings and representations exist by and for the agents. We finish by summarizing the points presented here and highlight possible continuations . [1] “Information and Meaning” [2] “Introduction to a systemic theory of meaning” [3] “Computation on Information, Meaning and Representations. An Evolutionary Approach” [4] “Proposal for a shared evolutionary nature of language and consciousness”. (shrink)

If humans have an evolved moral psychology, then we should not expect it to function in an identical way between individuals. Instead, we should expect a diversity in the function of our moral psychology between individuals that varies along genetic lines, and a corresponding diversity of moral attitudes and moral judgements that emerge from it. This is because there was no one psychological type that would reliably produce adaptive social behaviour in the highly heterogeneous environments in which our minds evolved. (...) As such, there was no single psychological type towards which evolution could gravitate. Instead we evolved a stable polymorphism of psychological types, maintained by frequency-dependent selection, each predisposed towards particular social and moral attitudes and behaviours. This can help explain the existence of moral diversity, particularly intra-cultural moral diversity, and seemingly intractable moral disagreement. (shrink)

Ever since Chomsky, language has become the paradigmatic example of an innate capacity. Infants of only a few months old are aware of the phonetic structure of their mother tongue, such as stress-patterns and phonemes. They can already discriminate words from non-words and acquire a feel for the grammatical structure months before they voice their first word. Language reliably develops not only in the face of poor linguistic input, but even without it. In recent years, several scholars have extended this (...) uncontroversial view into the stronger claim that natural language is a human-specific adaptation. As I shall point out, this position is more problematic because of a lack of conceptual clarity over what human-specific cognitive adaptations are, and how they relate to modularity, the notion that mental phenomena arise from several domain-specific cognitive structures. The main aim of this paper is not to discuss whether or not language is an adaptation, but rather, to examine the concept of modularity with respect to
the evolution and development of natural language.
. (shrink)

This book shows that in the naturalistic and Darwinian explanation of life and its evolution, a decisive factor is overlooked, namely the human, knowing mind. The questions about life and its evolution can be answered if consciousness is taken into account not as a spectator, but as an integral part of reality. In the first-person-perception of cognition, the forces and laws of organic development can be observed and explored. It becomes apparent that evolution was not a (...) random event, but the organic overall process of the becoming of man. (shrink)

Human innovation is the basis of human survival and development, and scientific and technological innovation are the precursors of industrial evolution. What is the role of cognition in innovative activity? What are the characteristics of the process of its development in a creative environment? This paper proposes the internal mechanism of class creation as an innovative activity from the point of view of industrial evolution and argues that class creation occurs on the basis of cognition. Taking (...) the history of the computer industry as an example, the paper analyses the position of class creation in the process of technological innovation and discusses the role of cognitive activities in the innovation process. It is pointed out that various class-creation activities are the important reasons that drive the evolution of the computer industry. (shrink)

It is sometimes claimed that Gricean communication is necessarily a form of cooperative or ‘joint’ action. A consequence of this Cooperative Communication View is that Gricean communication could not itself contribute to an explanation of the possibility of joint action. I argue that even though Gricean communication is often a form of joint action, it is not necessarily so—since it does not always require intentional action on the part of a hearer. Rejecting the Cooperative Communication View has attractive consequences for (...) our theorising about human cognitive development, since it opens up the possibility of appealing to communicative interaction to explain the emergence of joint action in phylogeny. (shrink)

The paper provisionally accepts the goal of Goldman's primary epistemics, which is to seek reliability values for basic cognitive processes, and questions whether such values may plausibly be expected. The reliability of such processes as perception and memory is dependent on other aspects of cognitive structure, and especially on one's "conceptual scheme," the evaluation of which goes beyond primary epistemics (and its dependence on cognitive science) to social epistemics, or indeed to traditional epistemology and philosophy of science. (...) Two general arguments against the plausibility of determining reliability values for the basic cognitive architecture of humans are proposed, one applying Fodor's distinction between input and central systems, and the other invoking a point by Geertz about culture and evolution. Social epistemics is only briefly evaluated, as it is nascent. (shrink)

In this article, I use science-fiction scenarios drawn from Dan Simmons’ “Hyperion Cantos” (Hyperion, The Fall of Hyperion, Endymion, The Rise of Endymion) to explore a cluster of issues related to the evolutionary history and neural bases of human moral cognition, and the moral desirability of improving our ability to make moral decisions by techniques of neuroengineering. I begin by sketching a picture of what recent research can teach us about the character of human moral psychology, with a (...) particular emphasis on highlighting the importance of our evolutionary background as social mammals. I then consider how the moral psychology of intelligent machines might differ from our own, and argue that the differences would depend on the extent to which their evolutionary background resembled our own. I offer two very different case studies—the “Technocore AIs” that have evolved from early, parasitic computer programs, and the mysterious “Shrike,” who travels backward through time. I close by looking at the character of Aenea, a messianic figure that is a joint descendant of humans and machines. I argue that while the sort of “moral enhancement” she represents is far beyond the scope of either contemporary neuroscience or artificial intelligence research, it nevertheless represents a worthwhile goal. (shrink)

The notion of representation is at the foundation of cognitive sciences and is used in theories of mind and consciousness. Other notions like ‘embodiment’, 'intentionality‘, 'guidance theory' or ‘biosemantics’ have been associated to the notion of representation to introduce its functional aspect. We would like to propose here that a conception of 'usage related' representation eases its positioning in an evolutionary context, and opens new areas of investigation toward self-representation and self-consciousness. The subject is presented in five parts:Following an (...) overall presentation, the first part introduces a usage related representation as being an information managed by a system submitted to a constraint that has to be satisfied. We consider that such a system can generate a meaningful information by comparing its constraint to a received information (Menant 2003). We define a representation as being made of the received information and of the meaningful information. Such approach allows groundings in and out for the representation relatively to the system. The second part introduces the two types of representations we want to focus on for living organisms: representations of conspecifics and auto-representation, the latter being defined without using a notion of self-representation. Both types of representations have existed for our pre-human ancestors which can be compared to today great apes.In the third part, we use the performance of intersubjectivity as identified in group life with the presence of mirror neurons in the organisms. Mirror neurons have been discovered in the 90‘s (Rizzolatti & al.1996, Gallese & al.1996). The level of intersubjectivity that can be attributed to non human primates as related to mirror neurons is currently a subject of debate (Decety 2003). We consider that a limited intersubjectivity between pre-human primates made possible a merger of both types of representations. The fourth part proposes that such a merger of representations feeds the auto-representation with the meanings associated to the representations of conspecifics, namely the meanings associated to an entity perceived as existing in the environment. We propose that auto-representation carrying these new meanings makes up the first elements of self-representation. Intersubjectivity has allowed auto-representation to evolve into self-representation, avoiding the homunculus risk. The fifth part is a continuation to other presentations (Menant 2004, 2005) about possible evolution of self-representation into self-consciousness. We propose that identification with suffering or endangered conspecifics has increased anxiety, and that the tools used to limit this anxiety (development of empathy, imitation, language and group life) have provided a positive feedback on intersubjectivity and created an evolutionary engine for the organism. Other outcomes have also been possible. Such approach roots consciousness in emotions. The evolutionary scenario proposed here does not introduce explicitly the question of phenomenal consciousness (Block 1995). This question is to be addressed later with the help of this scenario.The conclusion lists the points introduced here with their possible continuations. (shrink)