Time plays a significant role in science and everyday life. Despite being experienced as a continuous flow, computational models of consciousness are typically restricted to a sequential temporal structure. This difference poses a serious challenge for computational phenomenology—a novel field combining phenomenology and computational modelling. By analysing the temporal structure of the active inference framework, we show that an integrated continuity of time can be achieved by merging Husserlian temporality with a sequential order of time. (...) We also show that a Markov blanket of the present moment integrates past and future moments of both subjective temporality and objective time in an asynchronous manner. By applying the integrated continuity, it is clear that active inference makes use of both subjective temporality and objective time in an integrated fashion. We conclude that active inference, on a temporal note, qualifies as a computational model for phenomenological investigations. (shrink)

We propose a non-representationalist framework for deep learning relying on a novel method computational phenomenology, a dialogue between the first-person perspective (relying on phenomenology) and the mechanisms of computational models. We thereby propose an alternative to the modern cognitivist interpretation of deep learning, according to which artificial neural networks encode representations of external entities. This interpretation mainly relies on neuro-representationalism, a position that combines a strong ontological commitment towards scientific theoretical entities and the idea that the (...) brain operates on symbolic representations of these entities. We proceed as follows: after offering a review of cognitivism and neuro-representationalism in the field of deep learning, we first elaborate a phenomenological critique of these positions; we then sketch out computational phenomenology and distinguish it from existing alternatives; finally we apply this new method to deep learning models trained on specific tasks, in order to formulate a conceptual framework of deep-learning, that allows one to think of artificial neural networks’ mechanisms in terms of lived experience. (shrink)

This essay examines the possibility that phenomenological laws might be implemented by a computational mechanism by carefully analyzing key passages from the Prolegomena to Pure Logic. Part I examines the famous Denkmaschine passage as evidence for the view that intuitions of evidence are causally produced by computational means. Part II connects the less famous criticism of Avenarius & Mach on thought-economy with Husserl's 1891 essay 'On the Logic of Signs (Semiotic).' Husserl is shown to reaffirm his earlier opposition (...) to associationist (Humean) and adaptationist (Darwinian) explanations of our thought-machine on the ground that they cannot reconstruct the notion of truth and its syntactic mental preservation in symbolic thought-trains. Part III reveals Husserl's interesting commitment to the idea that descriptive sciences necessarily transform into explanatory sciences on pain of contradicting the essence of science as a rational ideal. Since explanation in relation to phenomenology means causal explanation, and causal explanation in the form of the Denkmaschine accounts for phenomenological intuition, it is inferred that the rationally compelling ideal of explanatory science requires a computationalist reading of the subsequent logical investigations. (shrink)

Brain-computer interfaces (BCIs) are an emerging and converging technology that translates the brain activity of its user into command signals for external devices, ranging from motorized wheelchairs, robotic hands, environmental control systems, and computer applications. In this paper I functionally decompose BCI systems and categorize BCI applications with similar functional properties into three categories, those with (1) motor, (2) virtual, and (3) linguistic applications. I then analyse the relationship between these distinct BCI applications and their users from an epistemological and (...) phenomenological perspective. Specifically, I analyse functional properties of BCIs in relation to the abilities (particularly motor behaviour and communication) of their human users, asking how they may or may not extend these abilities. This includes a phenomenological analysis of whether BCIs are experienced as transparent extensions. Contrary to some recent philosophical claims, I conclude that, although BCIs have the potential to become bodily as well as cognitive extensions for skilled users, at this stage they are not. And while the electrodes and signal processor may to a variable degree be transparent and incorporated, the BCI system as a whole is not. Contemporary BCIs are difficult to use. Most systems only work in highly controlled laboratory settings, require a high amount of training and concentration, have very limited control options, have low and variable information transfer rates, and effector motions are often slow, clumsy and sometimes unsuccessful. These drawbacks considerably limit their possibilities for transparency and incorporation into either the body schema or cognitive system which is essential for bodily and cognitive extension. Current BCIs can therefore only be seen as a weak or metaphorical extension of the human central nervous system. To increase their potential for cognitive extension, I give suggestions for improving the interface design of what I refer to as linguistic applications. (shrink)

Open peer commentary on the article “Info-computational Constructivism and Cognition” by Gordana Dodig-Crnkovic. Upshot: The main problems with info-computationalism are: (1) Its basic concept of natural computing has neither been defined theoretically or implemented practically. (2. It cannot encompass human concepts of subjective experience and intersubjective meaningful communication, which prevents it from being genuinely transdisciplinary. (3) Philosophically, it does not sufficiently accept the deep ontological differences between various paradigms such as von Foerster’s second- order cybernetics and Maturana and Varela’s (...) theory of autopoiesis, which are both erroneously taken to support info-computationalism. (shrink)

Defenders of educational frog dissection tend to emphasize the claim that computer-simulated alternatives cannot replicate the same exact experience of slicing open a frog, with all its queasy and visceral impact. Without denying that point, I argue that this is not the only educational standard against which computer-simulated dissection should be evaluated. When real-world frog dissection is analyzed as a concrete technological practice rather than an assumed ideal, the particular educational advantages distinct to real-world dissection and virtual dissection can be (...) enumerated and compared. Building on the work of John Dewey and Don Ihde, I explore the still-expanding advantages of computer-simulated dissection, and in this proper context of comparison it becomes clear that virtual alternatives are increasingly the more educationally beneficial option. (shrink)

This book focuses on the study of heavy quarkonium production at high-energy colliders as a useful tool to explain both the perturbative and non-perturbative aspects of quantum choromodynamics. It provides the first comprehensive comparison between the theory and recent experiments and clarifies some longstanding puzzles in the heavy quarkonium production mechanism. In addition, it describes in detail a new framework for implementing precise computations of the physical observables in quantum field theories based on recently developed techniques. It can be used (...) to simulate the complicated collider environment of the Large Hadron Collider at the Conseil Européen pour la Recherche Nucléaire (CERN). Its accomplishment implies that the Monte Carlo simulations for high-energy physics experiments have reached the limits of precision. It offers readers a wealth of valuable information on the relevant techniques. (shrink)

This paper presents a version of neurophenomenology based on generative modelling techniques developed in computational neuroscience and biology. Our approach can be described as _computational phenomenology_ because it applies methods originally developed in computational modelling to provide a formal model of the descriptions of lived experience in the phenomenological tradition of philosophy (e.g., the work of Edmund Husserl, Maurice Merleau-Ponty, etc.). The first section presents a brief review of the overall project to naturalize phenomenology. The second section (...) presents and evaluates philosophical objections to that project and situates our version of computational phenomenology with respect to these projects. The third section reviews the generative modelling framework. The final section presents our approach in detail. We conclude by discussing how our approach differs from previous attempts to use generative modelling to help understand consciousness. In summary, we describe a version of computational phenomenology which uses generative modelling to construct a computational model of the inferential or interpretive processes that best explain this or that kind of lived experience. (shrink)

This article is a phenomenological study of students' lived experience in a computer conference learning environment. Issues for students in computer conferences revolved around spatial disorientation: existential location, appearances in space, imagined space, word space, secret space, and being alone within a group. Within these spatial issues the students grappled with getting into a computer space, familiarity of use, getting stuck, and the class as a "necessary evil. " The article poses critical questions for educators to consider the use of (...) computer conferencing as a learning environment. (shrink)

The stream of human consciousness appears to be interruptible, in that we can experience a sensation of ‘returning to ourselves after an absence of content’ (e.g. sleep, anaesthesia, full-absorption meditation). Prima facie, such evidence poses a challenge to simple applications of theories of consciousness based on electromagnetic or neural activity in the brain, because some of this activity persists during periods of interruption. This paper elaborates one of several possible responses to the challenge. We build on a previous theory in (...) which EM field topology delineates complex macrophenomenal experience. We first apply an analytic lens to identify different ways in which field topologies might generate sensations of ‘absence of content’. We then test the feasibility of a particular phenomenological approach for assessing those field topologies, powered by the unusual lucidity about cessation pathways induced via certain meditation practices and psychedelic dosages. We build computational simulations of these cessation pathways and test them on eight interviewees with various levels of experience in cessation states. We conclude that this approach can generate usable insight, but requires further formalisation to fulfil its potential. The findings tentatively support our claims but the theory remains speculative at this stage. We set out empirical tests with 11 specific predictions, both for further phenomenological research and for brain manipulation research. Although they align neatly, our ontological and cessation theories can also be separated. The paper describes how our theories can be consistent with other perspectives on consciousness, such as variants of predictive processing or global network theory. (shrink)

Digital technologies are significantly changing the way our bodies constitute, or make sense of, the world around us. This article explores the impact of a largely unexplored generation of nature-inspired digital technolo­gies on bodily constitution. After explaining the scientific background, namely the unconventional field of computer science known as natural computing, the article analyzes a case study of related digital innovation. The selected case concerns biomimetic artificial organs that restore and often enhance the visual experience of non-congenital blind people. Genetic (...) phenomenology provides the conceptual framework for the analysis of the case study. The genetic phenomenological approach taken in this article is presented in the context of current phenomenological and postphenomenological research on human-robot interaction and human-machine hybrid intentionality. (shrink)

A number of recent attempts to bridge Husserlian phenomenology of time consciousness and contemporary tools and results from cognitive science or computational neuroscience are described and critiqued. An alternate proposal is outlined that lacks the weaknesses of existing accounts.

Phenomenologists or Continental thinkers argue for the subject-object continuum. For phenomenology, subjectivity is of the object, and object is for the subject. This book applies that continuum to the holistic foundations of work or specialization. The author devotes a chapter to each of eight cultural applications of the subject-object continuum. Chapter One examines the specialist-generalist continuum meaning specialization for general education. That continuum comprises the framework for the remaining seven chapters. Those seven include production for community, design for user, (...) automation for user, computing for society, taxation for society, information for manufacturing, and procedure for goal. These eight applications constitute the basis for a core curriculum. The core curriculum gives holistic meaning, order, or cosmos to all jobs and to all people. Cosmos is a Greek word meaning humanistic-scientific order, irreducible to physics. The core curriculum is fundamental cosmology. Each of the eight continuities follow in a logical, systematic manner from the analytic-subjective continuum meaning object for subjectivity. Phenomenology of education can become the human basis of a promising holistic logic, bringing together analytic and existential themes. (shrink)

This paper is a response to Henley who criticizes a previous paper of mine arguing against my claim that computers are devoid of consciousness. While the claim regarding computers and consciousness was not the main theme of my original paper, I do, indeed, subscribe to it. Here, I review the main characteristics of human consciousness presented in the earlier paper and argue that computers cannot exhibit them. Any ascription of these characteristics to computers is superficial and misleading in that it (...) fails to capture essential, intrinsic features of human cognition. More generally, psychological theory couched in terms of semantic representations and the computational operations associated with them is bound to be inadequate. The phenomenology of consciousness is a specific case marking this inadequacy. (shrink)

IN SEPTEMBER 1957, Herbert Simon, a pioneer in cognitive simulation, predicted that within ten years, i.e., by now, a computer would be world chess champion and would prove an important mathematical theorem. This prediction was based on Simon's early initial success in writing a program that could play legal chess and one able to prove simple theorems in logic and geometry. But the early successes turned out to be based on the solution of problems that were simple for machines, and (...) further progress turned out to be more and more difficult, until recently it has begun to be obvious to interested observers, and even to some workers in the field, that the original optimism of Simon and company was unfounded. (shrink)

This paper analyses the phenomenology and epistemology of chatbots such as ChatGPT and Bard. The computational architecture underpinning these chatbots are large language models (LLMs), which are generative artificial intelligence (AI) systems trained on a massive dataset of text extracted from the Web. We conceptualise these LLMs as multifunctional computational cognitive artifacts, used for various cognitive tasks such as translating, summarizing, answering questions, information-seeking, and much more. Phenomenologically, LLMs can be experienced as a “quasi-other”; when that happens, (...) users anthropomorphise them. For most users, current LLMs are black boxes, i.e., for the most part, they lack data transparency and algorithmic transparency. They can, however, be phenomenologically and informationally transparent, in which case there is an interactional flow. Anthropomorphising and interactional flow can, in some users, create an attitude of (unwarranted) trust towards the output LLMs generate. We conclude this paper by drawing on the epistemology of trust and testimony to examine the epistemic implications of these dimensions. Whilst LLMs generally generate accurate responses, we observe two epistemic pitfalls. Ideally, users should be able to match the level of trust that they place in LLMs to the degree that LLMs are trustworthy. However, both their data and algorithmic opacity and their phenomenological and informational transparency can make it difficult for users to calibrate their trust correctly. The effects of these limitations are twofold: users may adopt unwarranted attitudes of trust towards the outputs of LLMs (which is particularly problematic when LLMs hallucinate), and the trustworthiness of LLMs may be undermined. (shrink)

While the notion of the mind as information-processor--a kind of computational system--is widely accepted, many scientists and philosophers have assumed that this account of cognition shows that the mind's operations are characterizable independent of their relationship to the external world. Existential Cognition challenges the internalist view of mind, arguing that intelligence, thought, and action cannot be understood in isolation, but only in interaction with the outside world. Arguing that the mind is essentially embedded in the external world, Ron McClamrock (...) provides a schema that allows cognitive scientists to address such long-standing problems in artificial intelligence as the "frame" problem and the issue of "bounded" rationality. Extending this schema to cover progress in other studies of behavior, including language, vision, and action, McClamrock reinterprets the importance of the organism/environment distinction. McClamrock also considers the broader philosophical question of the place of mind in the world, particularly with regard to questions of intentionality, subjectivity, and phenomenology. With implications for philosophy, cognitive and computer science, AI, and psychology, this book synthesizes state-of-the-art work in philosophy and cognitive science on how the mind interacts with the world to produce thoughts, ideas, and actions. (shrink)

Most cognitive scientists are committed to some version of representationalism, the view that intelligent behavior is caused by internal processes that involve computations over representations. Phenomenologists, however, argue that certain types of intelligent behavior, engaged coping skills, are nonrepresentational. Recent neuroscientific work on multiple memory systems indicates that while many types of intelligent behavior are representational, the types of intelligent behavior cited by phenomenologists are indeed nonrepresentational. This neuroscientific research thus vindicates a key phenomenological claim about the nature of intelligent (...) behaviour. It also provides a framework for the ongoing reconciliation of cognitive science and phenomenology. (shrink)

We consider processes of emergence within the conceptual framework of the Information Loss principle and the concepts of systems conserving information; systems compressing information; and systems amplifying information. We deal with the supposed incompatibility between emergence and computability tout-court. We distinguish between computational emergence, when computation acquires properties, and emergent computation, when computation emerges as a property. The focus is on emergence processes occurring within computational processes. Violations of Turing-computability such as non-explicitness and incompleteness are intended to represent (...) partially the properties of phenomenological emergence, such as logical openness, given by the observer’s cognitive role; structural dynamics where change regards rules rather than only values; and multi-modelling where multiple non-equivalent models are required to model such structural dynamics. In this way, we validate, from an epistemological viewpoint, models and simulations of phenomenological emergence where the sequence of events constitutes the natural, analogical non-Turing computation which a cognitive complex system can reproduce through learning. Reproducibility through learning is different from Turing-like computational iteration. This paper aims to open a new, non-reductionist understanding of the conceptual relationship between emergence and computability. (shrink)

In the article I discuss functionalist interpretations of Husserlian phenomenology. The first one was coined in the discussion between Hubert Dreyfus and Ronald McIntyre. They argue that Husserl’s phenomenology shares similarities with computational functionalism, and the key similarity is between the concept of noema and the concept of mental representation. I show the weaknesses of that reading and argue that there is another available functionalist reading of Husserlian phenomenology. I propose to shift perspective and approach the (...) relation between phenomenology and functionalism from a methodological perspective, specifically taking into account the functionalist explanatory strategy called functional analysis. I discuss the notion of function in Husserl’s works and Husserl’s idea of functional phenomenology. The key argument I develop is that in functional phenomenology we can find an explanatory strategy which is analogous to the strategy of functional decomposition used in functional analysis. I conclude that the proposed functionalist reading of phenomenology opens a new approach to the integration of phenomenology with cognitive sciences. (shrink)

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)

While the essays on this web site, taken together, explain most of the essentials of my metaphysical system, some material is not covered, and the different essays take quite different approaches. The essays were mostly written for undergraduate and graduate courses in philosophy at the University of Toronto and York University. Thus, each essay is slanted to the issues that were addressed in whatever course it was written for. However, I hope soon to pull all this material together into a (...) cohesive, single work that will explain my system more fully and with more focus, which will serve as my Ph.D. dissertation. In the meantime this brief overview gives the broad picture of what my philosophical system is, and how the various essays on these pages are inter-related. For those who do not wish to read through this entire page, the Quantum Phenomenology essay is probably the one you should read if you only have time to read one, as it is the closest to being comprehensive. (shrink)

The Computational Metaphor is an extremely influential notion, and more than any other trend has given rise to the field of Cognitive Science. Environmentalism is at present better formalised as a political movement than as a scientific paradigm, despite significant research by Gibson and his followers. This article attempts to address the difficult problem of synthesising these two apparently antagonistic research paradigms.

In this contribution I propose a contemporary reading of the ontological dimension of Max Scheler’s early phenomenology of sense perception. My examination will start with a brief informal explanation of this theory, and his scientific and philosophical sources. The second step will be the introduction of some elements of Formal Philosophy : this piece of research will focus on N. B. Cocchiarella’s interpretation of FP and it will allow me to introduce the concept of a Philosophical Formal Ontology in (...) comparison with the computational one. Finally, the third step will be the construction of a semi-formalized model of Scheler’s early phenomenology of sense perception. Here I will use a dynamic-epistemic version of the modal calculus KT5. (shrink)

The article deals with the phenomenological analysis of music perception on the material of rock songs. The structure of a song is simpler than the structure of a classical piece of music, but all the results are valid for any music with appropriate complication. “Listening device”—a computer program that translates sounds into musical notation - perceives individual sounds. But the musical consciousness understands the specific musical thought. It groups sounds into motifs and phrases. F. Tagg introduces the concept of “museme”—a (...) unit of musical meaning. Musemes have meaning only for the understanding consciousness. Musemes of different levels include motifs and phrases, metric signature, rhythm, and the structure of the whole work. In a melody there may be “key sites” in which the concentration of musical thought is maximized. They are constituted by musical consciousness and are largely subjective. The understanding of a musical work takes place in time, and this allows the consciousness to mark out a segment of time, to arrange the intelligible structure in it. A melody is a meaningful whole that has its own logic of unfolding. It encompasses a segment of time and transforms it into something stationary. Melody can be represented in the form of a scheme. The subject of music is the compression of time into such structures. An interesting example of musical perception is psychedelic rock. When listening to psychedelic music, the constitutive activity of consciousness is reduced and an altered state of consciousness occurs. The horizon of meaning narrows, the protention disappears. Here we should recall the notion of “saturated phenomenon” introduced by J.-L. Marion. The saturated phenomenon does not allow for constitution and assimilation. Psychedelic music modifies the horizons of future meanings. The article concludes with a question about computer music: will it make sense to us? So far there is no unequivocal answer to this question. (shrink)

Examining one of the fundamental issues in cognitive psychology: How does our conscious experience come to be the way it is?

Shaun Gallagher calls for a radical rethinking of the concept of nature and he resists reduction of phenomenology to computational-neural science. However, classic, reductionist science, at least in contemporary computational guise, has the resources to accommodate insights from transcendental phenomenology. Reductionism should be embraced, not feared.

This paper argues that cognitive psychology's practice of explaining mental processes in terms which avoid invoking phenomenology, and the person-level self-conception with which it is associated in common sense psychology, leads to a hybrid Cartesian dualism. Because phenomenology is considered to be fundamentally irrelevant in any scientific explanation of the mind, the person-level is regarded as scientifically invisible: it is a ghost-like housing for sub-personal computational cognition. The problem of explaining how the sub-personal and sub-phenomenological machinery of (...) mind is related to person-level experience is as troublesome for cognitive psychology as the problem Descartes faced in explaining how the ghost (the non-corporeal mind) is related to the machine (the material body).This paper outlines the historical roots of cognitive dualism, showing how it has come to recapitulate a number of puzzling conceptual dichotomies that have hindered scientific and philosophical psychology since Kantian constructivism. It then defends the view that cognitive psychology's commitment to the sub-personal explanatory level leads to exaggerated deflationary claims about the explanatory significance of phenomenology, and the personlevel framework. It is argued that phenomenological description must function as a constraint upon, and guide for, theory formation in cognitive psychology (as illustrated in the work of the cognitive neuro-psychologist A.R. Luria). Phenomenology must be brought into a kind of reflective equilibrium with the cognitive and neuro-sciences. (shrink)

I argue for a more complicated but nonetheless computationally feasible and algorithmically intelligible interplay between exploration and exploitation and for admitting into our conceptual toolkit regimes of exploitative exploration and exploratory exploitation that can enhance the novelty and usefulness of the results of either problemistic or serendipitous search.

My comments will focus on the issue of what, according to Gallagher and Zahavi (2008, hereafter G&Z; all references will be to this book unless otherwise noted), the phenomenological approach can contribute to the cognitive sciences (including cognitive neuroscience), one of their major themes. Toward the end of the paper, I will say something about a second major theme of theirs, the relationship of phenomenology to philosophy of mind. Conventional wisdom within cognitive science has it is that phenomenology (...) is hostile to the scientific study of human cognition. Hubert Dreyfus, a self-declared phenomenologist, writes works with titles such as What computers can’t do (1972) and What computers still can’t do (1992), both of which urge that the attempt to understand the mind as a computational information-processor, at any rate, is doomed to failure. Since the computational, information-processing model is the only remotely worked-out scientific model of cognition that we have, it is not too surprising that phenomenology and cognitive science have generally been viewed as being at loggerheads. (shrink)

The aim of this work is to analyze the constitution of a new collective subject thanks to wearable computers. Wearable computers are emerging technologies which are supposed to become pervasively used in the near future. They are devices designed to be on us every single moment of our life and to capture every experience we have. Therefore, we need to be prepared to such intrusive devices and to analyze potential effect they will have on us and our society. Thanks to (...) a phenomenological and postphenomenological analysis, we will show how these technologies are able to generate a new collective subject with its different collective needs and appetites by merging the living body of many subjects into one. The world becomes dwelled by these new collective subjects, and we will feed their own peculiar needs. (shrink)

This paper aims to explore mechanistic and teleological explanations of consciousness. In terms of mechanistic explanations, it critiques various existing views, especially those embodied by existing computational cognitive models. In this regard, the paper argues in favor of the explanation based on the distinction between localist (symbolic) representation and distributed representation (as formulated in the connectionist literature), which reduces the phenomenological difference to a mechanistic difference. Furthermore, to establish a teleological explanation of consciousness, the paper discusses the issue of (...) the functional role of consciousness on the basis of the aforementioned mechanistic explanation. A proposal based on synergistic interaction between the conscious and the unconscious is advanced that encompasses various existing views concerning the functional role of consciousness. This two-step deepening explanation has some empirical support, in the form of a cognitive model and various cognitive data that it captures. © 2001 Elsevier Science B.V. All rights reserved. (shrink)

Solitons, i.e. solitary localized waves with particle-like behaviour, and multi-solitons occur virtually everywhere. There is a good reason for that in that there is a solid, albeit somewhat heuristic argument which says that for wave-like phenomena the 'soliton approximation' is the next one after the linear one. It is also not too difficult via some searching in the voluminous literature - many hundreds of papers on solitons each year - to write down a long list of equations which admit soliton (...) solutions and which model phenomena ranging over all the physical, biological, chemical and geological sciences as well as engineering. Yet, when lecturing on (mathematical) aspects of solitons I have found it not so easy to go beyond listing these equations. Largely because of lack of a book like this, which discusses where and how solitons arise, how they behave, whether or not they are stable and in what sense, which discusses approximate solitons and solitons in multidimensional spaces (which in a first simple natural formulation cannot exist), which discusses soliton (computer) experiments; all this for a wide range of phenomena especially in connection with solid state physics. There is a great deal of analytic material as well as there is especially a considerable collection of challenges for theoretical understanding. A great deal of the material covered in this book has not appeared in the monographic literature before. The phenomenology of solitons is very rich indeed. (shrink)

In our contribution we will observe phenomenal architecture of a mind and operational architectonics of the brain and will show their intimate connectedness within a single integrated metastable continuum. The notion of operation of different complexity is the fundamental and central one in bridging the gap between brain and mind: it is precisely by means of this notion that it is possible to identify what at the same time belongs to the phenomenal conscious level and to the neurophysiological level of (...) brain activity organization, and what mediates between them. Implications for linguistic semantics, self-organized distributed computing algorithms, artificial machine consciousness, and diagnosis of dynamic brain diseases will be discussed briefly. (shrink)

[1] In _What Computers Can't Do_ (1972), Hubert Dreyfus identified several basic assumptions about the nature of human knowledge which grounded contemporary research in cognitive science. Contemporary artificial intelligence, he argued, relied on an unjustified belief that the mind functions like a digital computer using symbolic manipulations ("the psychological assumption") (Dreyfus 1992: 163ff), or at least that computer programs could be understood as formalizing human thought ("the epistemological assumption") (Dreyfus 1992: 189). In addition, the project depended upon an assumption about (...) the data about the human world which we employ in thought - namely, that it consists of discrete, determinate, and explicit pieces which can be processed heuristically ("the ontological assumption") (Dreyfus 1992: 206). (shrink)

This textbook on vision reflects the integrated computational approach of modern research scientists, combining psychological, computational and neuroscientific perspectives.

phenomenology and logical analysis. John Searle and Bert Dreyfus are for me two of the paradigm figures of contemporary philosophy, so I am extremely proud to have been offered the opportunity to engage with their work. The editors of The Harvard Review of Philosophy, it seems to me, have shown a keen sense of what is deep and important in our discipline by publishing extended interviews with these two influential thinkers. At the same time, writing this article meant entering (...) into a debate between Searle and Dreyfus about the priority of their respective philosophical methodologies, and this, I am afraid, is at best a no-win situation. My strategy, therefore, has been to try to engage as sympathetically as possible with the programs of each philosopher, and to draw from their work lessons that seem to me important for any philosophical account of intentionality and social reality. I have not shied away from criticism; indeed the whole paper is an extended series of criticisms of the work of both philosophers. But I hope they will recognize this for what it is: an engagement with the work of each that is based on the deepest respect and admiration. Before I jump into the fray, I should mention that I owe a personal debt of gratitude to Searle and Dreyfus as well. They were not only my two advisors in graduate school, but were the two main reasons I entered philosophy. Having become dissatisfied with the formal worlds of mathematics and computer science, their respective critiques of artificial intelligence and cognitivism showed me the rich possibilities of philosophy and struck me as a reason to become a philosopher. It is a difficult discipline, sometimes unforgiving; but I am glad I followed them into it. (shrink)

This book is an introduction, entirely by example, to the possibilities of using computer models as tools in phosophical research in general and in philosophical logic in particular. Topics include chaos, fractals, and the semantics of paradox; epistemic dynamics; fractal images of formal systems; the evolution of generosity; real-valued game theory; and computation and undecidability in the spatialized Prisoner's Dilemma.

In recent years there has been some hard-won but still limited agreement that phenomenology may be of central importance to the cognitive sciences. This realization comes in the wake of dismissive gestures made by philosophers of mind like Dennett (1991), who mistakenly associates phenomenological method with the worst forms of introspection. For very different reasons, resistance can also be found on the phenomenological side of this issue. There are many thinkers well versed in the Husserlian tradition who do not (...) even want to consider the usefulness of phenomenology for enlightening the sciences of the mind. For them cognitive science is simply too computational or too reductionistic to be seriously considered as capable of explaining experience or consciousness. [1] This is surprising in light of the fact that a highly respected phenomenologist like Merleau-Ponty was integrating phenomenological analyses with considerations drawn from the empirical sciences of psychology and neurology long before cognitive science was constructed as a framework to include just those aspects of psychology and neurology that focus on cognitive experience. Merleau-Ponty aside, philosophers on both sides of this issue have only gradually come to acknowledge the possibility that phenomenology may be directly relevant for a scientific understanding of cognition. Sometimes the empirical scientists themselves have arrived at this conclusion even before, and in spite of the philosophers. Francisco Varela's work on neurophenomenology provides an important example (Varela, 1996). Even the hardest of hard scientists have made peace offerings to phenomenology. Recently, for example, the neuroscientist Jean-Pierre Changeux declares that his purpose "is not to go to war against phenomenology; to the contrary, [he wants] to see what constructive contribution it can make to our knowledge of the psyche, acting in concert with the neurosciences" (Changeux and Ricoeur, 2000, p. 85). (shrink)

In this paper I explore systematically the relationship between Brain-Computer Interfaces (BCIs) and their human users from a phenomenological and cognitive perspective. First, I functionally decompose BCI systems and develop a typology in which I categorize BCI applications with similar functional properties into three categories, those with (1) motor, (2) virtual, and (3) linguistic applications. Second, developing and building on the notions of an embodied tool and cognitive tool, I analyze whether these distinct BCI applications can be seen as bodily (...) or cognitive extensions. Contrary to some recent philosophical claims, I will argue that, although BCI technology may have the potential to become bodily and cognitive extensions for skilled users, at this stage they are not. And while the electrodes may to a variable degree be transparent and incorporated in the body schema, the BCI system as a whole is not. Moreover, BCIs do not have a functional role characteristic for cognition and are therefore not cognitive extensions. Third, based on concepts from the distributed cognition framework, I give a number of suggestions to improve the interface design of linguistic applications, i.e. BCIs that allow its user to spell words by selecting letters on a screen. These suggestions may result in cognitive extension and would enhance the autonomy and quality of life of its users. In sum, in this paper I develop a typology, analysis and critique on the current philosophical debate on BCIs, thereby providing a richer conceptual understanding of BCI systems which allows me to offer some suggestions for improving the interface design of linguistic applications. (shrink)

The phenomenology of controlled action depends on comparisons between predicted and actually perceived sensory feedback called action-effects. We investigated if intervening task-irrelevant but semantically related information influences monitoring processes that give rise to a sense of control. Participants judged whether a moving box “obeyed” or “disobeyed” their own arrow keystrokes or visual cues representing the computer’s choices . During 1 s delays between keystrokes/cues and box movements, participants vocalized directions cued by letters inside the box. Congruency of cued vocalizations (...) was manipulated relative to previously selected keystrokes and upcoming box movements. In Experiment 1, reported obey moves and feelings of control reflected the true frequency of obey moves, but were also modulated by vocalizations. Incongruent vocalizations reduced reported obey moves, whereas congruent vocalizations increased them. In Experiment 2, vocalizations had stronger effects when their congruence with primary-task box movement was consistent for several consecutive moves before congruence changed. In Experiment 3, analogous impacts of vocalizations occurred when the computer selected the directions and participants judged whether the computer had control of the box. We conclude that predicted and perceived action-effects associated with semantically related but separate and ostensibly irrelevant actions can be conflated with one another. This interference is not restricted to actions performed with the same effector or within the same modality, or even by the same actor. Thus in estimating degrees of control, the mind integrates across ongoing action systems, whether or not they are logically task-relevant. (shrink)