Cognitive processes, cognitive psychology tells us, unfold in our heads. In contrast, several approaches in cognitive engineering argue for a shift of unit of analysis from what is going on in the heads of operators to the workings of whole socio-technical systems. This shift is sometimes presented as part of the development of a new understanding of what cognition is and where the boundaries of cognitive systems are. Cognition, it is claimed, is not just situated (...) or embedded, but extended and distributed in the world. My main question in this article is what the practical significance is of this framing of an expanded unit of analysis in a cognitive vocabulary. I focus on possible consequences for how cognitive engineering practitioners think about function allocation in system design, and on what the relative benefits and costs are of having a common framework and vocabulary for talking about both human and technical system components. I argue for what I call an *expansive but deflated conception of cognition*, primarily on pragmatic grounds. In addition, I claim that the important lesson of the “boundaries of cognition” debate in cognitive science is the negative claim that there is not anything special about the biological boundary of the skin and skull per se, rather than some positive claim about where the boundaries of extended or distributed cognitive systems really are. I also examine the role of the concept of cognition in the theoretical frameworks of distributed cognition, joint cognitive systems (also known as cognitive system engineering), and cognitive work analysis. (shrink)

We use the Newell Test as a basis for evaluating ACT-R as an effective architecture for cognitive engineering. Of the 12 functional criteria discussed by Anderson & Lebiere (A&L), we discuss the strengths and weaknesses of ACT-R on the six that we postulate are the most relevant to cognitive engineering.

In this article, some theories about evolutionary progress of human mind are examined and criticised. Through a comparative reading of these theories -which are sometimes contradictory to each other- it has been tried to present the common missing parts of these theories. The meaning of these theories for philosophy has been thought and the presupposition of linearity in these theories is criticised. The relation of the concept of emotion with the terms like cognition, apprehension, comprehension, intellect, self-awareness, consciousness -which stand (...) forward within these theories- is emphasized. Through the visual cliff experiment, it has been attempted to clarify this relation. (shrink)

The goals of public education, as well as conceptions of human intelligence and learning, are undergoing a transformation through the application of military-sponsored information technologies and information processing models of human thought. Recent emphases in education on thinking skills, learning strategies, and computer-based technologies are the latest episodes in the postwar military agenda to engineer intelligent components, human and artificial, for the optimal performance of complex technological systems. Public education serves increasingly as a “human factors” laboratory and production site for (...) this military enterprise, whose high performance technologies and command and control paradigms have also played central roles in the emergence of the information economy. (shrink)

While 4E approaches to cognition are increasingly introduced in educational contexts, little has been said about how 4E commitments can inform pedagogy aimed at fostering ethical competencies. Here, we evaluate a 4E-inspired ethics exercise that we developed at a technical university to enliven the moral imagination of engineering students. Our students participated in an interactive tinkering workshop, during which they materially redesigned a healthcare artifact. The aim of the workshop was twofold. Firstly, we wanted students to experience how material (...) choices at the levels of design and functionality can enable morally significant reimaginings of the affordances commonly associated with existing artifacts. We term this type of reimagining world-directed moral imagination. Secondly, through the design process, we wanted students to robustly place themselves in the lived embodied perspectives of (potential) users of their selected artifacts. We term this person-directed moral imagination. While student testimonies about the exercise indicate that both their world-directed and person-directed moral imagination were enlivened, we note that the fostering of robust person-directed moral imagination proved challenging. Using 4E insights, we diagnose this challenge and ask how it might be overcome. To this end, we engage extensively with a recent 4E-informed critique of person-directed moral imagination, raised by Clavel Vázquez and Clavel-Vázquez (2023). They argue that person-directed moral imagination is profoundly limited, if not fundamentally misguided, particularly when exercised in contexts marked by emphatic embodied situated difference between the imaginer and the imagined. Building upon insights from both the 4E field and testimonies from critical disability studies, we argue that, while their critique is valuable, it ultimately goes too far. We conclude that a 4E approach can take on board recent 4E warnings regarding the limits of person-directed moral imagination while contributing positively to the development of moral imagination in engineering ethics education. (shrink)

We explore and critically reflect on the process of science and engineering research assistant skill development both within laboratory-based research teams and, when no team is present, within the faculty supervisor-research assistant interactions. Using a performance-based measure of research skill development, we identify research assistants who, over the course of an academic year of service as a researcher, markedly developed, modestly developed, or failed to develop their research skills. Interviews with these research assistants and their faculty supervisors, seen through (...) the lens of cognitive apprenticeship, provide insight into this variation. We found that within the contours of supervisory relationships and research teams, research skill development is indelibly shaped, for better or worse, by supervisor influence and abundant trial-and-error. (shrink)

The vivid terms, "Top-down" and "Bottom-up" have become popular in several different contexts in cognitive science. My task today is to sort out some different meanings and comment on the relations between them, and their implications for cognitive science.

This paper describes the processes of cognitive modeling and representation of human expertise for developing an ontology and knowledge base of an expert system. An ontology is an organization and classification of knowledge. Ontological engineering in artificial intelligence (AI) has the practical goal of constructing frameworks for knowledge that allow computational systems to tackle knowledge-intensive problems and supports knowledge sharing and reuse. Ontological engineering is also a process that facilitates construction of the knowledge base of an intelligent (...) system, which can be defined as a computer program that can duplicate problem-solving capabilities of human experts in specific areas. This paper presents the processes of knowledge acquisition, analysis, and representation, which laid the basis for ontology construction. In this case, the processes are applied in ontological engineering for construction of an expert system in the domain of monitoring of a petroleum production and separation facility. The acquired knowledge was also formally represented in two knowledge acquisition tools. (shrink)

I discuss whether there are some lessons for philosophical inquiry over the nature of simulation to be learnt from the practical methodology of reengineering. I will argue that reengineering serves a similar purpose as simulations in theoretical science such as computational neuroscience or neurorobotics, and that the procedures and heuristics of reengineering help to develop solutions to outstanding problems of simulation.

Bayesian reverse-engineering is a research strategy for developing three-level explanations of behavior and cognition. Starting from a computational-level analysis of behavior and cognition as optimal probabilistic inference, Bayesian reverse-engineers apply numerous tweaks and heuristics to formulate testable hypotheses at the algorithmic and implementational levels. In so doing, they exploit recent technological advances in Bayesian artificial intelligence, machine learning, and statistics, but also consider established principles from cognitive psychology and neuroscience. Although these tweaks and heuristics are highly pragmatic in (...) character and are often deployed unsystematically, Bayesian reverse-engineering avoids several important worries that have been raised about the explanatory credentials of Bayesian cognitive science: the worry that the lower levels of analysis are being ignored altogether; the challenge that the mathematical models being developed are unfalsifiable; and the charge that the terms ‘optimal’ and ‘rational’ have lost their customary normative force. But while Bayesian reverse-engineering is therefore a viable and productive research strategy, it is also no fool-proof recipe for explanatory success. (shrink)

Alan Turing draws a firm line between the mental and the physical, between the cognitive and physical sciences. For Turing, following a tradition that went back to D=Arcy Thompson, if not Geoffroy and Lucretius, throws talk of function, intentionality, and final causes from biology as a physical science. He likens Amother nature@ to the earnest A. I. scientist, who may send to school disparate versions of the Achild machine,@ eventually hoping for a test-passer but knowing that the vagaries of (...) his experimental course are history and accident. (shrink)

The first part of this article makes the case that human cognition is an intergenerational project enabled by the inheritance and bequeathal of cognitive technology (Sects. 2–4). The final two sections of the article (Sects. 5 and 6) explore the normative significance of this claim. My case for the intergenerational claim draws results from multiple disciplines: philosophy (Sect. 2), cultural evolutionary approaches in cognitive science (Sect. 3), and developmental psychology and neuroscience (Sect. 4). In Sect. 5, I propose (...) that cognitive technology should be given to future generations in accordance with principles of pluralism and transparency. In the final main section of the article, Sect. 6, I apply these principles to topics such as the preservation of information, environmental offloading of cognition, and thinking itself. (shrink)

Describing a cognitive system at a mechanistic level requires an engineering task analysis. This involves identifying the task and developing models of possible solutions. Evolutionary psychology and Bayesian modeling make complimentary contributions: Evolutionary psychology suggests the types of tasks that human brains were designed to solve, while Bayesian modeling provides a rigorous description of possible computational solutions to such problems.

Daniel C. Dennett ha dedicado una parte considerable de su obra a concebir una aplicación de la ingeniería inversa y el adaptacionismo para explicar la evolución de la mente humana. Dennet considera esta perspectiva como una posibilidad prometedora en el desarrollo de una psicología científica, en contraposición al "materialismo eliminacionista" de la neurociencia. En este artículo se expone una aproximación conceptual y se examina un antecedente filosófico en las discusiones sobre el adaptacionismo en biología y psicología evolutiva: la intencionalidad o (...) teoría de los sistemas intencionales. Daniel C. Dennett has dedicated a great part of his work to the conception of an application of reverse engineering and adaptationism in order to explain the evolution of the human mind. Dennett sees this perspective as a promising possibility in the development of a scientific psychology, in contrast to the "eliminative materialism" of neuroscience. The article provides a conceptual approach and examines a philosophical precedent in the discussions regarding adaptationism in biology and evolutionary psychology: intentionality or the theory of intentional systems. Daniel C. Dennett dedicou uma parte considerável de sua obra a conceber uma aplicação da engenharia inversa e do adaptacionismo para explicar a evolução da mente humana. Dennett considera essa perspectiva como uma possibilidade prometedora no desenvolvimento de uma psicologia científica, em contraposição ao "materialismo eliminacionista" da neurociência. Neste artigo, expõe-se uma aproximação conceitual e examina-se um antecedente filosófico nas discussões sobre o adaptacionismo em biologia e psicologia evolutiva: a intencionalidade ou teoria dos sistemas intencionais. (shrink)

This paper describes the processes of cognitive modeling and representation of human expertise for developing an ontology and knowledge base of an expert system. An ontology is an organization and classification of knowledge. Ontological engineering in artificial intelligence has the practical goal of constructing frameworks for knowledge that allow computational systems to tackle knowledge-intensive problems and supports knowledge sharing and reuse. Ontological engineering is also a process that facilitates construction of the knowledge base of an intelligent system, (...) which can be defined as a computer program that can duplicate problem-solving capabilities of human experts in specific areas. This paper presents the processes of knowledge acquisition, analysis, and representation, which laid the basis for ontology construction. In this case, the processes are applied in ontological engineering for construction of an expert system in the domain of monitoring of a petroleum production and separation facility. The acquired knowledge was also formally represented in two knowledge acquisition tools. (shrink)

The widespread use of online search engines to answer the general public’s needs for information has raised concerns about possible biases and the emerging of a ‘filter bubble’ in which users are isolated from attitude-discordant messages. Research is split between approaches that largely focus on the intrinsic limitations of search engines and approaches that investigate user search behavior. This work evaluates the findings and limitations of both approaches and advances a theoretical framework for empirical investigations of cognitive biases in (...) online search activities about health-related topics. We aim to investigate the interaction between the user and the search engine as a whole. Online search activity about health-related topics is considered as a hypothesis-testing process. Two questions emerge: whether the retrieved information provided by the search engines are fit to fulfill their role as evidence, and whether the use of this information by users is cognitively and epistemologically valid and unbiased. (shrink)

Drawing on a range of literature, I introduce two new concepts for understanding and exploring distributed cognition: resilience engineering and degeneracy. By re-examining Ed Hutchins’ (1995) ethnographic study of the navigation team I show how a focus on the developmental acquisition of cognitive practices can draw out several crucial insights that have been overlooked. Firstly, that the way in which agents learn and acquire cognitive practices enables a form of resilience engineering: the process by which the (...) system is able to overcome and adapt to errors and the vagaries of nature. Secondly, that the best way to engineer a resilient system is through promoting degeneracy – how differing structures produce the same function – at the level of cognitive practices. These two features show that focusing on cognitive practices and developmental trajectories is important for both greater explanatory leverage; and is also useful in regard to the practicalities of designing real-world cognitive systems. (shrink)

This study examines the assumption that training in professional ethics is a predictor of the meta-moral cognitive ability of engineering students. The main purpose of the study was to check the difference in the meta-moral cognitive abilities between those students who studied a course on professional ethics, as part of the engineering curriculum, and those who did not undertake such a course. Using the survey method, the author conducted a pilot study amongst 243 engineering undergraduates. (...) The meta-moral cognitive awareness inventory developed on the basis of the meta-cognitive awareness inventory prepared by Schraw Gregory and Dennison Rayne Sperling was used to measure the meta-moral cognitive level of the respondents. The results show that there was a substantial difference in the meta-moral cognitive abilities between those students who studied professional ethics, and those who did not. The univariate analysis of variance of the collected data reveals a significant variance. (shrink)

In this paper we review some problems with traditional approaches for acquiring and representing knowledge in the context of developing user interfaces. Methodological implications for knowledge engineering and for human-computer interaction are studied. It turns out that in order to achieve the goal of developing human-oriented (in contrast to technology-oriented) human-computer interfaces developers have to develop sound knowledge of the structure and the representational dynamics of the cognitive system which is interacting with the computer.We show that in a (...) first step it is necessary to study and investigate the different levels and forms of representation that are involved in the interaction processes between computers and human cognitive systems. Only if designers have achieved some understanding about these representational mechanisms, user interfaces enabling individual experiences and skill development can be designed. In this paper we review mechanisms and processes for knowledge representation on a conceptual, epistemological, and methodologieal level, and sketch some ways out of the identified dilemmas for cognitive modeling in the domain of human-computer interaction. (shrink)

Should engineering ethics be taught? Despite the obvious truism that we all want our students to be moral engineers who practice virtuous professional behavior, I argue, in this article that the question itself obscures several ambiguities that prompt preliminary resolution. Upon clarification of these ambiguities, and an attempt to delineate key issues that make the question a philosophically interesting one, I conclude that engineering ethics not only should not, but cannot, be taught if we understand “teaching engineering (...) ethics” to mean training engineers to be moral individuals (as some advocates seem to have proposed). However, I also conclude that there is a justification to teaching engineering ethics, insofar as we are able to clearly identify the most desirable and efficacious pedagogical approach to the subject area, which I propose to be a case study-based format that utilizes the principle of human cognitive pattern recognition. (shrink)

An article by Alexandra Kirsch accepted for publication in Cognitive Processing occasioned debate among reviewers about broad methodological issues in cognitive science. One of these issues is the proper place of Popperian falsificationism in the interdisciplinary cluster. Another is the tension between abstract models and theories that apply to wide classes of cognitive systems, and models of more restricted scope intended to predict specifically human patterns of thought and behavior. The lead editorial in a Commentary debate invited (...) by the journal’s editors considers these issues from the perspective of a pragmatist philosophy of science inspired by Herbert Simon’s classic, MIT Press, Cambridge, 1969) reflections on the blurring of the distinction between science and engineering in cognitive science. (shrink)

Forty years’ experience as a bacterial geneticist has taught me that bacteria possess many cognitive, computational and evolutionary capabilities unimaginable in the first six decades of the twentieth century. Analysis of cellular processes such as metabolism, regulation of protein synthesis, and DNA repair established that bacteria continually monitor their external and internal environments and compute functional outputs based on information provided by their sensory apparatus. Studies of genetic recombination, lysogeny, antibiotic resistance and my own work on transposable elements revealed (...) multiple widespread bacterial systems for mobilizing and engineering DNA molecules. Examination of colony development and organization led me to appreciate how extensive multicellular collaboration is among the majority of bacterial species. Contemporary research in many laboratories on cell–cell signaling, symbiosis and pathogenesis show that bacteria utilise sophisticated mechanisms for intercellular communication and even have the ability to commandeer the basic cell biology of ‘higher’ plants and animals to meet their own needs. This remarkable series of observations requires us to revise basic ideas about biological information processing and recognise that even the smallest cells are sentient beings. (shrink)

Conceptual engineers aim to revise rather than describe our concepts. But what are concepts? And how does one engineer them? Answering these questions is of central importance for implementing and theorizing about conceptual engineering. This paper discusses and criticizes two influential views of this issue: semanticism, according to which conceptual engineers aim to change linguistic meanings, and psychologism, according to which conceptual engineers aim to change psychological structures. I argue that neither of these accounts can give us the full (...) story. Instead, I propose and defend the Dual Content View of Conceptual Engineering. On this view, conceptual engineering targets concepts, where concepts are understood as having two kinds of contents: referential content and cognitive content. I show that this view is independently plausible and that it gives us a comprehensive account of conceptual engineering that helps to make progress on some of the most difficult problems surrounding conceptual engineering. (shrink)

This essay focuses on conceptual engineers who aim to improve other people's patterns of inference and attention by shaping their concepts. Such conceptual engineers sometimes engage in a form of epistemic paternalism that I call paternalistic cognitive engineering: instead of explicitly persuading, informing and educating others, the engineers non-consultatively rely on assumptions about the target agents’ cognitive systems to improve their belief forming. The target agents could reasonably regard such benevolent exercises of control as violating their sovereignty (...) over their own belief formation. This is a pro tanto reason against such engineering. In addition to the relevant projects of conceptual engineering, paternalistic cognitive engineering plausibly includes certain kinds of nudging and evidence suppression. I distinguish the sovereignty-based concern from other ethical worries about conceptual engineering and discuss how one might justify the relevant conceptual engineering projects despite the sovereignty-based reason against them. (shrink)

Conceptual engineering is the method for assessing and improving our representational devices. On its ‘broad‐spectrum’ version, it is expected to be appropriately applicable to any of our representation‐involving cognitive activities, with major consequences for our whole cognitive life. This paper is about the theoretical foundations of conceptual engineering thus characterised. With a view to ensuring the actionability of conceptual engineering as a broad‐spectrum method, it addresses the issue of how best to construe the subject matter (...) of conceptual engineering and successively defends the theses that conceptual engineering should be: (i) About concepts, (ii) psychologically theorised, (iii) as multiply realised functional kinds. Thereby, I claim to theoretically secure and justify the maximum scope, flexibility, and impact for the method of conceptual engineering on our representational devices in our whole cognitive life—in other words, a broad‐spectrum version of conceptual engineering. (shrink)

According to predictive processing, an increasingly influential paradigm in cognitive science, the function of the brain is to minimize the prediction error of its sensory input. Conceptual engineering is the practice of assessing and changing concepts or word meanings. We contribute to both strands of research by proposing the first cognitive account of conceptual engineering, using the predictive processing framework. Our model reveals a new kind of implementation problem as prediction errors are only minimized if enough (...) agents embrace conceptual changes. This problem can be overcome by emphasizing the importance of social norms and conceptual pluralism. (shrink)

Forty years’ experience as a bacterial geneticist has taught me that bacteria possess many cognitive, computational and evolutionary capabilities unimaginable in the first six decades of the twentieth century. Analysis of cellular processes such as metabolism, regulation of protein synthesis, and DNA repair established that bacteria continually monitor their external and internal environments and compute functional outputs based on information provided by their sensory apparatus. Studies of genetic recombination, lysogeny, antibiotic resistance and my own work on transposable elements revealed (...) multiple widespread bacterial systems for mobilizing and engineering DNA molecules. Examination of colony development and organization led me to appreciate how extensive multicellular collaboration is among the majority of bacterial species. Contemporary research in many laboratories on cell–cell signaling, symbiosis and pathogenesis show that bacteria utilise sophisticated mechanisms for intercellular communication and even have the ability to commandeer the basic cell biology of ‘higher’ plants and animals to meet their own needs. This remarkable series of observations requires us to revise basic ideas about biological information processing and recognise that even the smallest cells are sentient beings. Previous article in issue. (shrink)

Conceptual engineering means to provide a method to assess and improve our concepts working as cognitive devices. But conceptual engineering still lacks an account of what concepts are (as cognitive devices) and of what engineering is (in the case of cognition). And without such prior understanding of its subject matter, or so it is claimed here, conceptual engineering is bound to remain useless, merely operating as a piecemeal approach, with no overall grip on its (...) target domain. The purpose of this programmatic paper is to overcome this knowledge gap by providing some guidelines for developing the theories of concepts and of cognition that will ground the systematic unified framework needed to effectively implement conceptual engineering as a widely applicable method for the cognitive optimization of our conceptual devices. (shrink)

What is it about art that can be so captivating? How is it that we find value in the often odd and abstract objects and events we call artworks? William P. Seeley proposes that artworks are attentional engines. They are artifacts that have been intentionally designed to direct attention to critical stylistic features that reveal their point, purpose, or meaning. In developing this view, Seeley argues that there is a lot we can learn about the value of art from interdisciplinary (...) research focused on our perceptual engagement with artworks. Recent breakthroughs in cognitive science and behavioral science can explain how we recognize artworks and how we differentiate them from more quotidian artifacts. Seeley pushes this line of reasoning, showing how cognitive science can help reveal the way artworks function as a unique source of value. Cognitive systems integrate this information into our experience of art, guiding attention and shaping what we perceive. Our understanding and appreciation of artworks is therefore carried in our perceptual experience of them. -/- Attentional Engines explores the pitfalls and potential of this interdisciplinary strategy for understanding art. It articulates a cognitivist theory of art grounded in perceptual psychology and neuroscience and demonstrates its application to a range of puzzles in the philosophy of the arts. This includes questions about the nature of depiction, the role played by metakinesis in dance appreciation, the nature of musical expression, and the power of movies. The provocative interdisciplinary theories Seeley presents will appeal to scholars and students interested in aesthetics, philosophy of mind, philosophy of art, cognitive science, and anyone with a burning curiosity about how artworks work. (shrink)

Conceptual engineering is the method for assessing and improving our concepts. Some have recently claimed that the implementation of such method in the form of ameliorative projects is truth-driven and should thus be epistemically constrained, ultimately at least (Simion 2018; cf. Podosky 2018). This paper challenges that claim on the assumption of a social constructionist analysis of ideologies, and provides an alternative, pragmatic and cognitive framework for determining the legitimacy of ameliorative conceptual projects overall. The upshot is that (...) one should not ameliorate for the sake of truth or knowledge, in the case of ideologies—at least, not primarily. (shrink)

Recent scientific approaches to aesthetics include evolutionary theories about the origin of art behavior, psychological investigations into human aesthetic experience and preferences, and neurophysiological explorations of the mechanisms underlying art experience. Critics of these approaches argue that they are ultimately irrelevant to a philosophical aesthetics because they cannot help us understand the distinctive conceptual basis and normativity of our art experience. This criticism may seem plausible given the piecemeal nature of these scientific approaches, but a more comprehensive naturalistic framework can (...) help us understand the conceptual basis and normativity of art. In particular, the ecology of art, an understanding of how individuals interact within particular environments, can help us understand the engineered art niches in which we create and experience art. Each niche is associated with a particular deme, or set of individuals that interact within that niche, and a set of cognitive, epistemic, and pedagogical technologies that form the conceptual basis of a niche-dependent normativity. This is to be contrasted with the niche-independent normativity revealed by many of the scientific approaches. This framework, and the conflicting streams of normativity it reveals, allows us to better understand conflicts in normativity and the implausibility of unequivocal and universal normative principles. (shrink)

For the uninitiated, there are two major tendencies in the modeling of human cognition. The older, tradtional school believes, in essence, that full human cognition can be modeled by dividing the world up into distinct entities -- called __symbol s__-- such as “dog”, “cat”, “run”, “bite”, “happy”, “tumbleweed”, and so on, and then manipulating this vast set of symbols by a very complex and very subtle set of rules. The opposing school claims that this system, while it might be good (...) at concluding that Paris is the capital of France or that there must be blood flowing in the left-rear leg of a cow, can never capture the full measure -- indeed, the essence -- of human cognition. For them, the essential features of cognition emerge from the combined effects of myriad, tiny actions far below the surface of consciousness. This is the camp to which Paul Churchland belongs. (shrink)

The type of principles which cognitive engineers need to design better work environments are principles which explain interactivity and distributed cognition: how human agents interact with themselves and others, their work spaces, and the resources and constraints that populate those spaces. A first step in developing these principles is to clarify the fundamental concepts of environment, coordination, and behavioural function. Using simple examples, I review changes the distributed perspective forces on these basic notions.

Conceptual engineering is the method for assessing and improving our representational devices. On its ‘broad-spectrum’ version, it is expected to be appropriately applicable to any of our representation-involving cognitive activities, with major consequences for our whole cognitive life. This paper is about the theoretical foundations of conceptual engineering thus characterised. With a view to ensuring the actionability of conceptual engineering as a broad-spectrum method, it addresses the issue of how best to construe the subject matter (...) of conceptual engineering and successively defends the theses that conceptual engineering should be: (i) About concepts, (ii) psychologically theorised, (iii) as multiply realised functional kinds. Thereby, I claim to theoretically secure and justify the maximum scope, flexibility, and impact for the method of conceptual engineering on our representational devices in our whole cognitive life—in other words, a broad-spectrum version of conceptual engineering. (shrink)

This is the first interdisciplinary exploration of the philosophical foundations of the Web, a new area of inquiry that has important implications across a range of domains. -/- Contains twelve essays that bridge the fields of philosophy, cognitive science, and phenomenology Tackles questions such as the impact of Google on intelligence and epistemology, the philosophical status of digital objects, ethics on the Web, semantic and ontological changes caused by the Web, and the potential of the Web to serve as (...) a genuine cognitive extension Brings together insightful new scholarship from well-known analytic and continental philosophers, such as Andy Clark and Bernard Stiegler, as well as rising scholars in "digital native" philosophy and engineering Includes an interview with Tim Berners-Lee, the inventor of the Web. (shrink)

One of the core insights from Eleanor Rosch’s work on categorization is that human categorization isn’t arbitrary. Instead, two psychological principles constrain possible systems of classification for all human cultures. According to these principles, the task of a category system is to provide maximum information with the least cognitive effort, and the perceived world provides us with structured rather than arbitrary features. In this paper, I show that Rosch's insights give us important resources for making progress on the 'feasibility (...) question' in conceptual engineering: the question of how we can implement conceptual engineering projects in ways that are practically feasible. Specifically, I show that one overlooked upshot of Rosch's work is that naming practices play an extremely important role in the construction of perceived similarities within and dissimilarities between categories, and, correspondingly, the dissemination of social stereotypes that serve as markers between different categories that are otherwise similar. Thus, naming practices will be a crucial constraint for the feasibility of certain ameliorative projects. (shrink)

Frost's critique reveals the limitations of the reverse-engineering approach to cognitive modeling – the style of psychological explanation in which a stipulated internal organization explains a relatively narrow set of phenomena. An alternative is to view organization as both the explanation for some phenomena and a phenomenon to be explained. This move poses new and interesting theoretical challenges for theories of word reading.

My book Abductive Cognition. The Epistemological and Eco-Cognitive Dimensions of Hypothetical Reasoning basically refers to all kinds of human hypothetical cognition, also of creative kind. During the research related to the preparation of that book I soon had the opportunity to examine the studies regarding the human process of continuous delegation and distribution of cognitive functions to the environment to lessen cognitive limitations, also and especially in the case of what has been called ‘manipulative abduction’. These design (...) activities are closely related to the process of cognitive niche construction, which I will specifically address in this article. Niche construction should be regarded as a second major participant, after natural selection, in evolution. Indeed, by altering their environment and partly controlling some of the energy and matter fluxes in their ecosystems, organisms are capable of changing some of the natural selective pressures in their local environments. The question I plan to answer is the following: we need to hypothesize a fundamental role of non-genetic information in the evolution, but what kind of evolution could we obtain in this case? I will illustrate that in building various mediating structures, humans transform the environment and create cognitive niches. Thus, humans and other non-human animals become ecological engineers and chance seekers, involved in the processing, the alteration, and even the creation of external structures to reduce or suppress their cognitive limitations. Hence, this article will address a detailed analysis of the role of extragenetic information in evolution and what this process of selection selects for purposeful organisms, so niche-constructing ones. (shrink)

My book Abductive Cognition. The Epistemological and Eco-Cognitive Dimensions of Hypothetical Reasoning basically refers to all kinds of human hypothetical cognition, also of creative kind. During the research related to the preparation of that book I soon had the opportunity to examine the studies regarding the human process of continuous delegation and distribution of cognitive functions to the environment to lessen cognitive limitations, also and especially in the case of what has been called ‘manipulative abduction’. These design (...) activities are closely related to the process of cognitive niche construction, which I will specifically address in this article. Niche construction should be regarded as a second major participant, after natural selection, in evolution. Indeed, by altering their environment and partly controlling some of the energy and matter fluxes in their ecosystems, organisms are capable of changing some of the natural selective pressures in their local environments. The question I plan to answer is the following: we need to hypothesize a fundamental role of non-genetic information in the evolution, but what kind of evolution could we obtain in this case? I will illustrate that in building various mediating structures, humans transform the environment and create cognitive niches. Thus, humans and other non-human animals become ecological engineers and chance seekers, involved in the processing, the alteration, and even the creation of external structures to reduce or suppress their cognitive limitations. Hence, this article will address a detailed analysis of the role of extragenetic information in evolution and what this process of selection selects for purposeful organisms, so niche-constructing ones. (shrink)

Designing, building, and experimenting with physical simulation models are central problem‐solving practices in the engineering sciences. Model‐based simulation is an epistemic activity that includes exploration, generation and testing of hypotheses, explanation, and inference. This paper argues that to interpret and understand how these simulation models function in creating knowledge and technologies requires construing problem solving as accomplished by a researcher–artifact system. It draws on and further develops the framework of “distributed cognition” to interpret data collected in ethnographic and (...) class='Hi'>cognitive‐historical studies of two biomedical engineering research laboratories, and articulates the notion of distributed model‐based cognition to answer the question posed in the title. (shrink)

As scientific progress approaches the point where significant human enhancements could become reality, debates arise whether such technologies should be made available. This paper evaluates the widespread concern that human enhancements will inevitably accentuate existing inequality and analyzes whether prohibition is the optimal public policy to avoid this outcome. Beyond these empirical questions, this paper considers whether the inequality objection is a sound argument against the set of enhancements most threatening to equality, i.e., cognitive enhancements. In doing so, I (...) shall argue that cognitive enhancements can be embraced wholeheartedly, for three separate reasons. However, though the inequality objection does not sufficiently support the conclusion that cognitive enhancements should be prohibited, it raises several concerns for optimal policy design that shall be addressed here. (shrink)