The invention of the computer has revolutionized science. With respect to finding the essential structures of life, for example, it has enabled scientists not only to investigate empirical examples, but also to create and study novel hypothetical variations by means of simulation: ‘life as it could be’. We argue that this kind of research in the field of artificial life, namely the specification, implementation and evaluation of artificial systems, is akin to Husserl’s method of free imaginative variation as applied to (...) the specific regional ontology of biology. Thus, at a time when the clarification of the essence of our biological embodiment is of growing interest for phenomenology, we suggest that artificial life should be seen as a method of externalizing some of the insurmountable complexity of imaginatively varying the phenomenon of life. (shrink)

This article deals with the links between the enaction paradigm and artificial intelligence. Enaction is considered a metaphor for artificial intelligence, as a number of the notions which it deals with are deemed incompatible with the phenomenal field of the virtual. After explaining this stance, we shall review previous works regarding this issue in terms of artificial life and robotics. We shall focus on the lack of recognition of co-evolution at the heart of these approaches. We propose to explicitly integrate (...) the evolution of the environment into our approach in order to refine the ontogenesis of the artificial system, and to compare it with the enaction paradigm. The growing complexity of the ontogenetic mechanisms to be activated can therefore be compensated by an interactive guidance system emanating from the environment. This proposition does not however, resolve that of the relevance of the meaning created by the machine (sense-making). Such reflections lead us to integrate human interaction into this environment in order to construct relevant meaning in terms of participative artificial intelligence. This raises a number of questions with regards to setting up an enactive interaction. The article concludes by exploring a number of issues, thereby enabling us to associate current approaches with the principles of morphogenesis, guidance, the phenomenology of interactions and the use of minimal enactive interfaces in setting up experiments which will deal with the problem of artificial intelligence in a variety of enaction-based ways. (shrink)

Building off the recent work on the semantics of problem, we suggest a more general account that encompasses problems of all agents, human or nonhuman, individual or communal. Situation X is a problem for agent A, iff situation X is at odds with the agent’s goal G and removing the discrepancy between X and G presents some difficulty for agent A. In addition, for agent A to actually have a problem, they must also be in such situation X. In contrast, (...) agent A recognizes that situation X is a problem for them iff agent A represents, correctly or incorrectly, that situation X is at odds with their goal G, agent A represents, correctly or incorrectly, that removing the discrepancy between X and G presents some difficulty, and agent A represents, correctly or incorrectly, that they are in situation X. Several conclusions follow from these definitions. (1) Not every problem involves questions. (2) Not all problems involve undesirable states. (3) For an agent to consider a situation problematic, they should be aware of the situation; yet awareness of the situation is not necessary for an agent to have a problem or for a situation to be a problem for an agent. (4) Contexts need not be part of the problem: the context of a specific problem need not also be part of a more general problem. (5) The complete elimination of the discrepancy between a situation and a goal eliminates the problem, while the problem continues to exist when it receives a partial solution. (6) For something to be a problem, it does not have to be solvable, and the agent does not have to accept that something needs to be done about it, nor should they use the language of ameliorable/solvable. (shrink)

The development of artificial intelligence necessarily implies the anthropological question of the difference between human and artificial intelligence for two reasons: on the one hand artificial intelligence tends to be conceived on the model of human intelligence, on the other hand, a large part of types of artificial intelligence are designed in order to exhibit at least some features of what is conceived as being human intelligence. In this article I address this anthropological question in two parts. First I bring (...) into review and classify some of the main answers that have been proposed until now to this question. I argue that these variety of answers can be broadly classified in three categories, namely a (1) behaviorist, (2) a representational, and (3) a holistic understanding of human intelligence. In a second moment I propose an alternative way of understanding the difference between human and artificial intelligence, which is not essentialist but contextualist and content-related. Contrary to possible answers that I analyse in the first section, this alternative model does not aim at grasping the essence of human intelligence, which could or could not be reproduced in principle by artificial intelligence. It situates rather the fundamental differences between human and artificial intelligence in the context of human existence and the conceptual content of human intelligence, following the phenomenological description of one of its most fundamental features, namely its life-world. Grounding on this approach, it is possible to argue that human and artificial intelligence could be distinct, even if one could prove that they are eidetically, i.e. by their essence, identical. (shrink)

This paper aims to determine whether extended human-machine cognitive systems and group systems can be regarded as autonomous agents. For this purpose, I compare two notions of agency: one developed within analytical philosophy of action and based on the concept of intention, and the other introduced by enactivists via the concepts of autopoiesis and sensorimotor autonomy. I argue that only the latter approach can be used to demonstrate autonomous agency in respect of systems that are not humans as such, though (...) they contain humans as their elements. After introducing Maturana and Varela’s conception of minimal autonomy as a kind of generalization of autopoiesis, I present the three conditions of agency put forward by Barandiaran, Di Paolo and Rohde, noting that they do not invoke the property of being alive as necessary in that respect. I argue that both extended and group systems can satisfy these conditions of agency, even though they are not alive as such. The fulfillment of these conditions, however, is ensured by the autopoietic nature of the living components of these systems. That being said, an autonomous system itself does not need to be alive in the biological sense. Sensorimotor, adaptive agency could emerge out of other processes than those responsible for biological life. The article concludes with a suggestion that this is exactly what will happen if an autonomous system is ever artificially created. It would be functionally indistinguishable from a living organism, though not alive in a biological sense. (shrink)

In this paper I return to Hubert Dreyfus’ old but influential critique of artificial intelligence, redirecting it towards contemporary predictive processing models of the mind (PP). I focus on Dreyfus’ arguments about the “frame problem” for artificial cognitive systems, and his contrasting account of embodied human skills and expertise. The frame problem presents as a prima facie problem for practical work in AI and robotics, but also for computational views of the mind in general, including for PP. Indeed, some of (...) the issues it presents seem more acute for PP, insofar as it seeks to unify all cognition and intelligence, and aims to do so without admitting any cognitive processes or mechanisms outside of the scope of the theory. I contend, however, that there is an unresolved problem for PP concerning whether it can both explain all cognition and intelligent behavior as minimizing prediction error with just the core formal elements of the PP toolbox, and also adequately comprehend (or explain away) some of the apparent cognitive differences between biological and prediction-based artificial intelligence, notably in regard to establishing relevance and flexible context-switching, precisely the features of interest to Dreyfus’ work on embodied indexicality, habits/skills, and abductive inference. I address several influential philosophical versions of PP, including the work of Jakob Hohwy and Andy Clark, as well as more enactive-oriented interpretations of active inference coming from a broadly Fristonian perspective. (shrink)

As an alternative to linear and unidimensional perspectives focused mainly on either organic or psychological processes, the enactive approach to life and mind—a branch of 4-E cognitive theories—offers an integrative framework to study mental disorders that encompasses and articulates organic, sensorimotor, and intersubjective dimensions of embodiment. These three domains are deeply entangled in a non-trivial manner. A question remains on how this systemic and multi-dimensional approach may be applied to our understanding of mental disorders and symptomatic behavior. Drawing on Gilbert (...) Simondon’s philosophy of individuation, we provide some enactive conceptual tools to better understand the dynamic, interactive, and multi-dimensional nature of human bodies in mental disorders and psychopathological symptoms. One of such tools cursiva is sense-making, a key notion that captures the relational process of generating meaning by interacting with the sociomaterial environment. The article analyzes five aspects related to sense-making: temporality, adaptivity, the multiplicity of normativities it involves, the fundamental role of tension, and its participatory character. On this basis, we draw certain implications for our understanding of mental disorders and diverse symptoms, and suggest their interpretation in terms of difficulties to transform tensions and perform individuation processes, which result in a reduction of the field of potentialities for self-individuation and sense-making. (shrink)

Edmund Husserl’s eidetic phenomenology seeks a priori knowledge of essences and eidetic laws pertaining to conscious experience and its objects. Husserl believes that such eidetic knowledge has a higher epistemic status than the inherently fallible empirical knowledge, but a closer reading of his work shows that even eidetic claims are subject to error and open to modification. In this article, I develop a self-correcting account of Husserl’s method of eidetic variation, arguing that eidetic variation plays a critical role in both (...) challenging and improving upon the eidetic results in phenomenology. More specifically, I argue that the self-correcting account of eidetic variation 1) is consistent with Husserl’s own formulations of his eidetic methodology and epistemic principles; 2) captures the dual epistemic function of eidetic variation as means for both testing and intuitively validating eidetic claims; and 3) offers methodological support for contemporary attempts to integrate eidetic variation with non-eidetic methods and resources. To substantiate these claims, I first contrast the self-correcting account with the falsificationist interpretations of eidetic variation. Then, I turn to three applications of eidetic variation in order to examine how eidetic phenomenology could draw from real-life deviations, artificial variations, and critical–historical reflection. The goal is to lay the methodological groundwork for a self-correcting and integrative account of eidetic variation and illustrate its usefulness in research practice. (shrink)

The emerging contemporary natural philosophy provides a common ground for the integrative view of the natural, the artificial, and the human-social knowledge and practices. Learning process is central for acquiring, maintaining, and managing knowledge, both theoretical and practical. This paper explores the relationships between the present advances in understanding of learning in the sciences of the artificial, natural sciences, and philosophy. The question is, what at this stage of the development the inspiration from nature, specifically its computational models such as (...) info-computation through morphological computing, can contribute to machine learning and artificial intelligence, and how much on the other hand models and experiments in machine learning and robotics can motivate, justify, and inform research in computational cognitive science, neurosciences, and computing nature. We propose that one contribution can be understanding of the mechanisms of ‘learning to learn’, as a step towards deep learning with symbolic layer of computation/information processing in a framework linking connectionism with symbolism. As all natural systems possessing intelligence are cognitive systems, we describe the evolutionary arguments for the necessity of learning to learn for a system to reach humanlevel intelligence through evolution and development. The paper thus presents a contribution to the epistemology of the contemporary philosophy of nature. (shrink)

This presentation discusses a notion encountered across disciplines, and in different facets of human activity: autonomous activity. We engage it in an interdisciplinary way. We start by considering the reactions and behaviors of biological entities to biotechnological intervention. An attempt is made to characterize the degree of freedom of embryos & clones, which show openness to different outcomes when the epigenetic developmental landscape is factored in. We then consider the claim made in programming and artificial intelligence that automata could show (...) self-directed behavior as to the determination of their step-wise decisions on courses of action. This question remains largely open and calls for some important qualifications. We try to make sense of the presence of claims of freedom in agency, first in common sense, then by ascribing developmental plasticity in biology and biotechnology, and in the mapping of programmed systems in the presence of environmental cues and self-referenced circuits as well as environmental coupling. This is the occasion to recall attempts at working out a logical and methodological approach to the openness of concepts that are still to be found, and assess whether they can operate the structuring intelligibility of a yet undeveloped or underdeveloped field of study, where a “bisociation" and a unification of knowledge might be possible. (shrink)

In this essay we critically evaluate the progress that has been made in solving the problem of meaning in artificial intelligence (AI) and robotics. We remain skeptical about solutions based on deep neural networks and cognitive robotics, which in our opinion do not fundamentally address the problem. We agree with the enactive approach to cognitive science that things appear as intrinsically meaningful for living beings because of their precarious existence as adaptive autopoietic individuals. But this approach inherits the problem of (...) failing to account for how meaning as such could make a difference for an agent’s behavior. In a nutshell, if life and mind are identified with physically deterministic phenomena, then there is no conceptual room for meaning to play a role in its own right. We argue that this impotence of meaning can be addressed by revising the concept of nature such that the macroscopic scale of the living can be characterized by physical indeterminacy. We consider the implications of this revision of the mind-body relationship for synthetic approaches. (shrink)

This paper considers questions about continuity and discontinuity between life and mind. It begins by examining such questions from the perspective of the free energy principle (FEP). The FEP is becoming increasingly influential in neuroscience and cognitive science. It says that organisms act to maintain themselves in their expected biological and cognitive states, and that they can do so only by minimizing their free energy given that the long-term average of free energy is entropy. The paper then argues that there (...) is no singular interpretation of the FEP for thinking about the relation between life and mind. Some FEP formulations express what we call an independence view of life and mind. One independence view is a cognitivist view of the FEP. It turns on information processing with semantic content, thus restricting the range of systems capable of exhibiting mentality. Other independence views exemplify what we call an overly generous non-cognitivist view of the FEP, and these appear to go in the opposite direction. That is, they imply that mentality is nearly everywhere. The paper proceeds to argue that non-cognitivist FEP, and its implications for thinking about the relation between life and mind, can be usefully constrained by key ideas in recent enactive approaches to cognitive science. We conclude that the most compelling account of the relationship between life and mind treats them as strongly continuous, and that this continuity is based on particular concepts of life (autopoiesis and adaptivity) and mind (basic and non-semantic). (shrink)

A large body of compelling evidence has been accumulated demonstrating that embodiment – the agent’s physical setup, including its shape, materials, sensors and actuators – is constitutive for any form of cognition and as a consequence, models of cognition need to be embodied. In contrast to methods from empirical sciences to study cognition, robots can be freely manipulated and virtually all key variables of their embodiment and control programs can be systematically varied. As such, they provide an extremely powerful tool (...) of investigation. We present a robotic bottom-up or developmental approach, focusing on three stages: (a) low-level behaviors like walking and reflexes, (b) learning regularities in sensorimotor spaces, and (c) human-like cognition. We also show that robotic based research is not only a productive path to deepening our understanding of cognition, but that robots can strongly benefit from human-like cognition in order to become more autonomous, robust, resilient, and safe. (shrink)

In this paper we will demonstrate that a computational system can meet the criteria for autonomy laid down by classical enactivism. The two criteria that we will focus on are operational closure and structural determinism, and we will show that both can be applied to a basic example of a physically instantiated Turing machine. We will also address the question of precariousness, and briefly suggest that a precarious Turing machine could be designed. Our aim in this paper is to challenge (...) the assumption that computational systems are necessarily heteronomous systems, to try and motivate in enactivism a more nuanced and less rigid conception of computational systems, and to demonstrate to computational theorists that they might find some interesting material within the enactivist tradition, despite its historical hostility towards computationalism. (shrink)

This article deals with the links between the enaction paradigm and artificial intelligence. Enaction is considered a metaphor for artificial intelligence, as a number of the notions which it deals with are deemed incompatible with the phenomenal field of the virtual. After explaining this stance, we shall review previous works regarding this issue in terms of artificial life and robotics. We shall focus on the lack of recognition of co-evolution at the heart of these approaches. We propose to explicitly integrate (...) the evolution of the environment into our approach in order to refine the ontogenesis of the artificial system, and to compare it with the enaction paradigm. The growing complexity of the ontogenetic mechanisms to be activated can therefore be compensated by an interactive guidance system emanating from the environment. This proposition does not however, resolve that of the relevance of the meaning created by the machine (sense-making). Such reflections lead us to integrate human interaction into this environment in order to construct relevant meaning in terms of participative artificial intelligence. This raises a number of questions with regards to setting up an enactive interaction. The article concludes by exploring a number of issues, thereby enabling us to associate current approaches with the principles of morphogenesis, guidance, the phenomenology of interactions and the use of minimal enactive interfaces in setting up experiments which will deal with the problem of artificial intelligence in a variety of enaction-based ways. (shrink)

Following the philosophy of embodiment of Merleau-Ponty, Jonas and others, enactivism is a pivot point from which various areas of science can be brought into a fruitful dialogue about the nature of subjectivity. In this chapter we present the enactive conception of agency, which, in contrast to current mainstream theories of agency, is deeply and strongly embodied. In line with this thinking we argue that anything that ought to be considered a genuine agent is a biologically embodied (even if distributed) (...) agent, and that this embodiment must be affectively lived. However, we also consider that such an affective agent is not necessarily also an agent imbued with an explicit sense of subjectivity. To support this contention we outline the interoceptive foundation of basic agency and argue that there is a qualitative difference in the phenomenology of agency when it is instantiated in organisms which, due to their complexity and size, require a nervous system to underpin their physiological and sensorimotor processes. We argue that this interoceptively grounded agency not only entails affectivity but also forms the necessary basis for subjectivity. (shrink)

In this paper we address the question of minimal cognition by investigating the origin of some crucial cognitive properties from the very basic organisation of biological systems. More specifically, we propose a theoretical model of how a system can distinguish between specific features of its interaction with the environment, which is a fundamental requirement for the emergence of minimal forms of cognition. We argue that the appearance of this capacity is grounded in the molecular domain, and originates from basic mechanisms (...) of biological regulation. In doing so, our aim is to provide a theoretical account that can also work as a possible conceptual bridge between Synthetic Biology and Artificial Intelligence. In fact, we argue, Synthetic Biology can contribute to the study of minimal cognition, by providing a privileged approach to the study of these mechanisms by means of artificial systems. (shrink)

Whether collective agency is a coherent concept depends on the theory of agency that we choose to adopt. We argue that the enactive theory of agency developed by Barandiaran, Di Paolo and Rohde (2009) provides a principled way of grounding agency in biological organisms. However the importance of biological embodiment for the enactive approach might lead one to be skeptical as to whether artificial systems or collectives of individuals could instantiate genuine agency. To explore this issue we contrast the concept (...) of collective agency with multi-agent systems and multi-system agents, and argue that genuinely collective agents instantiate agency at both the collective level and at the level of the component parts. Developing the enactive model, we propose understanding agency – both at the level of the individual and of the collective – as spectra that are constituted by dimensions that vary across time. Finally, we consider whether collectives that are not merely metaphorically ‘agents’ but rather are genuinely agentive also instantiate subjectivity at the collective level. We propose that investigations using the perceptual crossing paradigm suggest that a shared lived perspective can indeed emerge but this should not be conflated with a collective first-person perspective, for which material integration in a living body may be required. (shrink)

In their recent book Radicalizing Enactivism. Basic minds without content, Dan Hutto and Erik Myin make two important criticisms of what they call autopoietic enactivism. These two criticisms are that AE harbours tacit representationalists commitments and that it has too liberal a conception of cognition. Taking the latter claim as its main focus, this paper explores the theoretical underpinnings of AE in order to tease out how it might respond to H&M. In so doing it uncovers some reasons which not (...) only appear to warrant H&M’s initial claims but also seem to point to further uneasy tensions within the AE framework. The paper goes beyond H&M by tracing the roots of these criticisms and apparent tensions to phenomenology and the role it plays in AE’s distinctive conception of strong life-mind continuity. It is highlighted that this phenomenological dimension of AE contains certain unexamined anthropomorphic and anthropogenic leanings which do not sit comfortably within its wider commitment to life-mind continuity. In light of this analysis it is suggested that AE will do well to rethink this role or ultimately run the risk of remaining theoretically unstable. The paper aims to contribute to the ongoing theoretical development of AE by highlighting potential internal tensions within its framework which need to be addressed in order for it to continue to evolve as a coherent paradigm. (shrink)

The autopoietic theory and the enactive approach are two theoretical streams that, in spite of their historical link and conceptual affinities, offer very different views on the nature of living beings. In this paper, we compare these views and evaluate, in an exploratory way, their respective degrees of internal coherence. Focusing the analyses on certain key notions such as autonomy and organizational closure, we argue that while the autopoietic theory manages to elaborate an internally consistent conception of living beings, the (...) enactive approach presents an internal tension regarding its characterization of living beings as intentional systems directed at the environment. (shrink)

Based on formal-theoretical principles about the sign processes involved, we have built synthetic experiments to investigate the emergence of communication based on symbols and indexes in a distributed system of sign users, following theoretical constraints from C.S.Peirce theory of signs, following a Synthetic Semiotics approach. In this paper, we summarize these computational experiments and results regarding associative learning processes of symbolic sign modality and cognitive conditions in an evolutionary process for the emergence of either symbol-based or index-based communication.

This paper explores an approach for autonomous generation of symbolic representations from an agent's subsymbolic activities within the agent-environment interaction. The paper describes a psychologically plausible general framework and its various methods for autonomously creating symbolic representations. The symbol generation is accomplished within, and is intrinsic to, a generic and comprehensive cognitive architecture for capturing a wide variety of psychological processes (namely, CLARION). This work points to ways of obtaining more psychologically/cognitively realistic symbolic and subsymbolic representations within the framework of (...) a cognitive architecture, and accentuates the relevance of such an approach to cognitive science and psychology. (shrink)

This paper analyzes responsible human–machine interaction concerning artificial neural networks (ANNs) and large language models (LLMs) by considering the extension of human agency and autonomy by means of artificial intelligence (AI). Thereby, the paper draws on the sociological concept of “interobjectivity,” first introduced by Bruno Latour, and applies it to technologically situated and interconnected agency. Drawing on Don Ihde’s phenomenology of human-technology relations, this interobjective account of AI allows to understand human–machine interaction as embedded in the social lifeworld. Finally, the (...) paper develops a connectionist account of responsible AI, thereby focusing on patterns such as social goals and actions. (shrink)

This dissertation argues that cognition is a kind of natural agency. Natural agency is the capacity that certain systems have to act in accordance with their own norms. Natural agents are systems that bias their repertoires in response to affordances in the pursuit of their goals. Cognition is a special mode of this general phenomenon. Cognitive systems are agents that have the additional capacity to actively take their worlds to be certain ways, regardless of whether the world is really that (...) way. In this way, cognitive systems are desituated. Desituatedness is the root of specifically cognitive capacities for representation and abstraction. There are two main reasons why this view needs defending. First, natural agency is typically viewed as incompatible with natural science because it is committed to a teleological mode of explanation. Second, cognition is typically held to be categorically distinct from natural agency. This dissertation argues against both of these views. It argues against the incompatibility of agency and natural science by demonstrating that systems biology, general systems theory, and sciences that deal with complex systems have typically underappreciated conceptual and theoretical resources for grounding agency in the causal structure of the world. These conceptual resources do not, however, reduce agency to systems theory because the normativity inherent in agency demands descriptive resources beyond those of even the most sophisticated systems theory. It argues against the categorical difference between natural agency and cognition by pointing out that separating cognition from a richer web of situated, ecologically embedded relations between the agent and the world generates the frame problem, which is an insuperable obstacle to making cognition that is sufficiently responsive to the complexity of the world. Rooting cognition in natural agency is a more robust empirical bet for theorizing cognition and artificial intelligence. (shrink)

According to enactivism all living systems, from single cell organisms to human beings, are ontologically endowed with some form of teleological and sense-making agency. Furthermore, enactivists maintain that: there is no fixed pregiven world and as a consequence all organisms “bring forth” their own unique “worlds” through processes of sense-making. The first half of the paper takes these two ontological claims as its central focus and aims to clarify and make explicit the arguments and motivations underlying them. Our analysis here (...) highlights three distinct but connected problems for enactivism: these arguments do not and cannot guarantee that there is no pregiven world, instead, they end up generating a contradiction whereby a pregiven world seems to in fact be tacitly presupposed by virtue of a reliance on a tacit epistemic perspectivalism which is also inherently representationalist and as a consequence makes it difficult to satisfactorily account for the ontological plurality of worlds. Taking these considerations on board, the second half of the paper then aims to develop a more robust ontologically grounded enactivism. Drawing from biosemiotic enactivism, science and technology studies and anthropology, the paper aims to present an account which both rejects a pregiven world and coherently accounts for how organisms bring forth ontologically multiple worlds. (shrink)

Consciousness, with its irreducible subjective character, was almost exclusively a philosophical topic until relatively recently. Today, however, the problem of explaining the felt quality of experience has also become relevant to science and engineering, including robotics and AI: “What would we have to build into a robot so that it really felt the touch of a finger, the redness of red, or the hurt of a pain?”(O’Regan, 2014, p. 23). Yet a practical response still requires an adequate theory of consciousness,which (...) brings us back to the hard problem: how can we account, from a scientific point of view, for thephenomenological character of experience? Over a decade ago,O’Regan and Noë (2001)proposeda new approach to these questions, the so-called sensorimotor approach to perceptual experience.How far has this approach come and what are its outstanding challenges? The volumeContemporarySensorimotor Theory, edited by Bishop and Martin, takes stock of the current state of the field. (shrink)

This paper shows how a radical approach to enactivism provides a way of clarifying and unifying different varieties of enactivism and enactivist-friendly approaches so as to provide a genuine alternative to classical cognitivism. Section 1 reminds readers of the broad church character of the enactivism framework. Section 2 explicates how radical enactivism is best understood not as a kind of enactivism per se but as a programme for radicalizing and consolidating the many different enactivist offerings. The main work of radical (...) enactivism is to RECtify, existing varieties of enactivism and other cognate approaches so as to strengthen and unify them into a single collective that can rival classical ways of thinking about mind and cognition. Section 3 shows how even seemingly non-enactivist explanatory offerings—such as predictive processing accounts of cognition—might be RECtified and brought within the enactivist explanatory fold. Section 4 reveals why, once RECtified, enactivist offerings, broadly conceived, qualify as genuine and revolutionary alternatives to classical ways of understanding cognition. (shrink)

We report two experimental studies of human perceptions of robotic facial expressions while systematically varying context effects and the cultural background of subjects (n = 93). Except for Fear, East Asian and Western subjects were not significantly different in recognition rates, and, while Westerners were better at judging affect from mouth movement alone, East Asians were not any better at judging affect based on eye/brow movement alone. Moreover, context effects appeared capable of over-riding such cultural differences, most notably for Fear. (...) The results seem to run counter to previous theories of cultural differences in facial expression based on emoticons and eye fixation patterns. We connect this to broader research in cognitive science – suggesting the findings support a dynamical systems view of social cognition as an emergent phenomenon. The results here suggest that, if we can induce appropriate context effects, it may be possible to createculture-neutral modelsof robots and affective interaction. (shrink)

The target article sketched and explored a mechanism (action-oriented predictive processing) most plausibly associated with core forms of cortical processing. In assessing the attractions and pitfalls of the proposal we should keep that element distinct from larger, though interlocking, issues concerning the nature of adaptive organization in general.

Meaning has traditionally been regarded as a problem for philosophers and psychologists. Advances in cognitive science since the early 1960s, however, broadened discussions of meaning, or more technically, the semantics of perceptions, representations, and/or actions, into biology and computer science. Here, we review the notion of “meaning” as it applies to living systems, and argue that the question of how living systems create meaning unifies the biological and cognitive sciences across both organizational and temporal scales.

We report two experimental studies of human perceptions of robotic facial expressions while systematically varying context effects and the cultural background of subjects (n = 93). Except for Fear, East Asian and Western subjects were not significantly different in recognition rates, and, while Westerners were better at judging affect from mouth movement alone, East Asians were not any better at judging affect based on eye/brow movement alone. Moreover, context effects appeared capable of over-riding such cultural differences, most notably for Fear. (...) The results seem to run counter to previous theories of cultural differences in facial expression based on emoticons and eye fixation patterns. We connect this to broader research in cognitive science – suggesting the findings support a dynamical systems view of social cognition as an emergent phenomenon. The results here suggest that, if we can induce appropriate context effects, it may be possible to createculture-neutral modelsof robots and affective interaction. (shrink)

To perceive an affordance is to perceive an object or situation as presenting an opportunity for action. The concept of affordances has been taken up across wide range of disciplines, including AI. I explore an interesting extension of the concept of affordances in robotics. Among the affordances that artificial systems have been engineered to detect are affordances to deliberate. In psychology, affordances are typically limited to bodily action, so the it is noteworthy that AI researchers have found it helpful to (...) extend the concept to encompass mental actions. I propose that psychologists can learn from this extension, and argue that human subjects can perceive mental affordances, such as affordances to attend, affordances to imagine and affordances to count. (shrink)

Interdisciplinary efforts from developmental psychology, phenomenology, and philosophy of mind, have studied the rudiments of social cognition and conceptualized distinct forms of intersubjective communication and interaction at human early life.Interaction theoristsconsiderprimary intersubjectivitya non-mentalist, pre-theoretical, non-conceptual sort of processes that ground a certain level of communication and understanding, and provide support to higher-level cognitive skills. We argue the study of human/neurorobot interaction consists in a unique opportunity to deepen understanding of underlying mechanisms in social cognition through synthetic modeling, while allowing to (...) examine a second person experiential (2PP) access to intersubjectivity in embodied dyadic interaction. Concretely, we propose the study of primary intersubjectivity as a 2PP experience characterized by predictive engagement, where perception, cognition, and action are accounted for an hermeneutic circle in dyadic interaction. From our interpretation of the concept ofactive inferenceinfree-energy principletheory, we propose an open-source methodology namedneural robotics library(NRL) for experimental human/neurorobot interaction, wherein a demonstration program namedvirtual Cartesian robot(VCBot) provides an opportunity to experience the aforementioned embodied interaction to general audiences. Lastly, through a study case, we discuss some ways human-robot primary intersubjectivity can contribute to cognitive science research, such as to the fields of developmental psychology, educational technology, and cognitive rehabilitation. (shrink)

Context: W. R. Ashby’s work on homeostasis as the basic mechanism underlying all kinds of physiological as well as cognitive functions has aroused renewed interest in cognitive science and related disciplines. Researchers have successfully incorporated some of Ashby’s technical results, such as ultrastability, into modern frameworks (e.g., CTRNN networks). Problem: The recovery of Ashby’s technical contributions has left in the background Ashby’s far more controversial non-technical views, according to which homeostatic adaptation to the environment governs all aspects of all forms (...) of life. This thesis entails that life is fundamentally “heteronomous” and it is conceptually at odds with the autopoiesis framework adopted by Ashby’s recent defenders as well as with the primacy of autonomy in human life that most of the Western philosophical tradition upholds. The paper argues that the use of computer simulations focused on the more conceptual aspects of Ashby’s thought may help us recover, extend and consequently assess an overall view of life as heteronomy. Method: The paper discusses some computer simulations of Ashby’s original electro-mechanical device (the homeostat) that implement his techniques (double-feedback loops and random parameter-switching). Results: First simulation results show that even though Ashby’s claims about homeostatic adaptivity need to be slightly weakened, his overall results are confirmed, thereby suggesting that an extension to virtual robots engaged in minimal cognitive tasks may be successful. Implications: The paper shows that a fuller incorporation of Ashby’s original results into recent cognitive science research may trigger a philosophical and technical reevaluation of the traditional distinction between heteronomous and autonomous behavior. Constructivist content: The research outlined in the paper supports an extended constructionist perspective in which agency as autonomy plays a more limited role. (shrink)

We argue that progress in our scientific understanding of the `social mind' is hampered by a number of unfounded assumptions. We single out the widely shared assumption that social behavior depends solely on the capacities of an individual agent. In contrast, both developmental and phenomenological studies suggest that the personal-level capacity for detached `social cognition' (conceived as a process of theorizing about and/or simulating another mind) is a secondary achievement that is dependent on more immediate processes of embodied social interaction. (...) We draw on the enactive approach to cognitive science to further clarify this strong notion of `social interaction' in theoretical terms. In addition, we indicate how this interaction theory (IT) could eventually be formalized with the help of a dynamical systems perspective on the interaction process, especially by making use of evolutionary robotics modeling. We conclude that bringing together the methods and insights of developmental, phenomenological, enactive and dynamical approaches to social interaction can provide a promising framework for future research. Keywords: theory of mind; cognitive science; phenomenology; embodied cognition; dynamical systems theory; enactive approach; social cognition; interaction theory; evolutionary robotics. (shrink)

The relationship between philosophy and research on artificial intelligence (AI) has been difficult since its beginning, with mutual misunderstanding and sometimes even hostility. By contrast, we show how an approach informed by both philosophy and AI can be productive. After reviewing some popular frameworks for computation and learning, we apply the AI methodology of “build it and see” to tackle the philosophical and psychological problem of characterizing perception as distinct from sensation. Our model comprises a network of very simple, but (...) interacting agents which have binary experiences of the “yes/no”-type and communicate their experiences with each other. When does such a network refer to a single agent instead of a distributed network of entities? We apply machine learning techniques to address the following related questions: i) how can the model explain stability of compound entities, and ii) how could the model implement a single task such as perceptual inference? We thereby find consistency with previous work on “interface” strategies from perception research. While this reflects some necessary conditions for the ascription of agency, we suggest that it is not sufficient. Here, AI research, if it is intended to contribute to conceptual understanding, would benefit from issues previously raised by philosophy. We thus conclude the article with a discussion of action-selection, the role of embodiment, and consciousness to make this more explicit. We conjecture that a combination of AI research and philosophy allows general principles of mind and being to emerge from a “quasi-empirical” investigation. (shrink)

In the recent history of psychology and cognitive neuroscience, the notion of habit has been reduced to a stimulus-triggered response probability correlation. In this paper we use a computational model to present an alternative theoretical view (with some philosophical implications), where habits are seen as self-maintaining patterns of behavior that share properties in common with self-maintaining biological processes, and that inhabit a complex ecological context, including the presence and influence of other habits. Far from mechanical automatisms, this organismic and self-organizing (...) concept of habit can overcome the dominating atomistic and statistical conceptions, and the high temporal resolution effects of situatedness, embodiment and sensorimotor loops emerge as playing a more central, subtle and complex role in the organization of behavior. The model is based on a novel “iterant deformable sensorimotor medium” (IDSM), designed such that trajectories taken through sensorimotor-space increase the likelihood that in the future, similar trajectories will be taken. We couple the IDSM to sensors and motors of a simulated body and environment and show that under certain conditions, the IDSM forms self-maintaining patterns of activity that operate across the IDSM, the body, and the environment. We present various environments and the resulting habits that form in them. The model acts as an abstraction of habits at a much needed sensorimotor “meso-scale” between microscopic neuron-based models and macroscopic descriptions of behavior. Finally, we discuss how this model and extensions of it can help us understand aspects of behavioral self-organization, historicity and autonomy that remain out of the scope of contemporary representationalist frameworks. (shrink)

In sociology, there has been a controversy about whether there is any essential difference between a human being and a tool, or if the tool–user relationship can be defined by co-actor symmetry. This issue becomes more complex when we consider examples of AI and robots, and even more so following progress in the development of various bio-machine hybrid technologies, such as robots that include organic parts, human brain implants, and adaptive prosthetics. It is argued that a concept of autonomous agency (...) based on organismic embodiment helps to clarify the situation. On this view, agency consists of an asymmetrical relationship between an organism and its environment, because the continuous metabolic and regulatory activity of the organism gives rise to its own existence, and hence its specific behavioral domain. Accordingly, most of current technologies are excluded from the class of autonomous agents. Instead, they are better conceptualized as interfaces that mediate our interactions with the world. This has important implications for design: Rather than trying to help humans to achieve their goals by duplicating their agency in artificial systems, it would be better to empower humans directly by enhancing their existing agency and lived experience with technological interfaces that can be incorporated into their embodiment. This incorporation might be especially facilitated by bio-machine hybrid technology that is designed according the principles of biological autonomy and multi-agent coordination dynamics. (shrink)

In this paper we suggest that differing approaches to the science of social cognition mirror the arguments between radical embodied and traditional approaches to cognition. We contrast the use in social cognition of theoretical inference and mental simulation mechanisms with approaches emphasizing a direct perception of others’ mental states. We build from a recent integrative framework unifying these divergent perspectives through the use of dual-process theory and supporting social neuroscience research. Our elaboration considers two complementary notions of direct perception: one (...) primarily stemming from ecological psychology and the other from enactive cognition theory. We use this as the foundation from which to offer an account of the informational basis for social information and assert a set of research propositions to further the science of social cognition. In doing so, we point out how perception of the minds of others can be supported in some cases by lawful information, supporting direct perception of social affordances and perhaps, mental states, and in other cases by cues that support indirect perceptual inference. Our goal is to extend accounts of social cognition by integrating advances across disciplines to provide a multi-level and multi-theoretic description that can advance this field and offer a means through which to reconcile radical embodied and traditional approaches to cognitive neuroscience. (shrink)

Let me express my deep thanks to the contributors for taking the time to read my book, Mind in Life, and for writing their thoughtful commentaries, from which I have learned a great deal. Special thanks are due to Tobias Schlicht, whose hard work and dedication made this volume possible. In what follows, I will respond singly to each con-tributor and do my best to address their main points. My replies to the commentators will be longer or shorter depending on (...) the points they raised. (shrink)

The life–mind continuity thesis holds that mind is prefigured in life and that mind belongs to life. The biggest challenge faced by proponents of this thesis is to show how an explanatory framework that accounts for basic biological processes can be systematically extended to incorporate the highest reaches of human cognition. We suggest that this apparent ‘cognitive gap’ between minimal and human forms of life appears insurmountable largely because of the methodological individualism that is prevalent in cognitive science. Accordingly, a (...) twofold strategy is used to show how a consideration of sociality can address both sides of the cognitive gap: (1) it is argued from a systemic perspective that inter-agent interactions can extend the behavioral domain of even the simplest agents and (2) it is argued from a phenomenological perspective that the cognitive attitude characteristic of adult human beings is essentially intersubjectively constituted, in particular with respect to the possibility of perceiving objects as detached from our own immediate concerns. These two complementary considerations of the constitutive role of inter-agent interactions for mind and cognition indicate that sociality is an indispensable element of the life–mind continuity thesis and of cognitive science more generally. (shrink)

Multiple sciences have converged, in the past two decades, on a hitherto mostly unremarked question: what is observation? Here, I examine this evolution, focusing on three sciences: physics, especially quantum information theory, developmental biology, especially its molecular and “evo-devo” branches, and cognitive science, especially perceptual psychology and robotics. I trace the history of this question to the late 19th century, and through the conceptual revolutions of the 20th century. I show how the increasing interdisciplinary focus on the process of extracting (...) information from an environment provides an opportunity for conceptual unification, and sketch an outline of what such a unification might look like. (shrink)