Scientific understanding is a fundamental goal of science. However, there is currently no good way to measure the scientific understanding of agents, whether these be humans or Artificial Intelligence systems. Without a clear benchmark, it is challenging to evaluate and compare different levels of scientific understanding. In this paper, we propose a framework to create a benchmark for scientific understanding, utilizing tools from philosophy of science. We adopt a behavioral conception of understanding, according to which genuine understanding should be recognized (...) as an ability to perform certain tasks. We extend this notion of scientific understanding by considering a set of questions that gauge different levels of scientific understanding, covering information retrieval, the capability to arrange information to produce an explanation, and the ability to infer how things would be different under different circumstances. We suggest building a Scientific Understanding Benchmark (SUB), formed by a set of these tests, allowing for the evaluation and comparison of scientific understanding. Benchmarking plays a crucial role in establishing trust, ensuring quality control, and providing a basis for performance evaluation. By aligning machine and human scientific understanding we can improve their utility, ultimately advancing scientific understanding and helping to discover new insights within machines. (shrink)

The rapid development of natural language processing in the last three decades has drastically changed the way professional translators do their work. Nowadays most of them use computer-assisted translation or translation memory tools whose evolution has been overshadowed by the much more sensational development of machine translation systems, with which TM tools are sometimes confused. These two language technologies now interact in mutually enhancing ways, and their increasing role in human translation has become a subject of behavioral studies. Philosophers and (...) linguists, however, have been slow in coming to grips with these important developments. The present paper seeks to fill in this lacuna. I focus on the semantic aspects of the highly distributed human–computer interaction in the CAT process which presents an interesting case of an extended cognitive system involving a human translator, a TM tool, an MT engine, and sometimes other human translators or editors. Considered as a whole, such a system is engaged in representing the linguistic meaning of the source document in the target language. But the roles played by its various components, natural as well as artificial, are far from trivial, and the division of linguistic labor between them throws new light on the familiar notions that were initially inspired by rather different phenomena in the philosophy of language, mind, and cognitive science. (shrink)

There is a deluge of AI-assisted decision-making systems, where our data serve as proxy to our actions, suggested by AI. The closer we investigate our data (raw input, or their learned representations, or the suggested actions), we begin to discover “bugs”. Outside of their test, controlled environments, AI systems may encounter situations investigated primarily by those in other disciplines, but experts in those fields are typically excluded from the design process and are only invited to attest to the ethical features (...) of the resulting system or to comment on demonstrations of intelligence and aspects of craftmanship after the fact. This communicative impasse must be overcome. Our idea is that philosophical and engineering considerations interact and can be fruitfully combined in the AI design process from the very beginning. We embody this idea in the role of a philosopher engineer. We discuss the role of philosopher engineers in the three main design stages of an AI system: deployment management (what is the system’s intended use, in what environment?); objective setting (what should the system be trained to do, and how?); and training (what model should be used, and why?). We then exemplify the need for philosopher engineers with an illustrative example, investigating how the future decisions of an AI-based hiring system can be fairer than those contained in the biased input data on which it is trained; and we briefly sketch the kind of interdisciplinary education that we envision will help to bring about better AI. (shrink)

The idea of the present Issue originated in a workshop held at the University of Urbino, Italy, in June 2014, and subsequently developed into an independent editorial project by including contributions that were not initially presented at the workshop. The eight essays that follow authored by young and emerging philosophers as well as fully accomplished ones—touch upon various aspects of the most recent debate surrounding TEs, closely engaging with many influential proposals that have been put forward over the last few (...) years. They can be organised around three main areas of concern. The first group deals with general issues raised by the use of TEs, such as the possibility of drawing a principled distinction between scientific and philosophical TEs (Marco Buzzoni), the role played by intuitions within philosophical TEs (Julia Langkau), and the different ways in which the intended conclusion of a TE can be resisted (Roy Sorensen). The second group focuses on the logical form of philosophical TEs (Sören Häggqvist; Daniele Sgaravatti), and on the kind of access to modal knowledge they are standardly taken to provide (Vittorio Morato). The third and last group explores the virtues and limits of TEs used in two specific philosophical areas, namely the philosophy of science (Margherita Benzi), and the philosophy of mind (Elizabeth Schier). (shrink)

Over the past 15 years, there have been two increasingly popular approaches to the study of meaning in cognitive science. One, based on theories of embodied cognition, treats meaning as a simulation of perceptual and motor states. An alternative approach treats meaning as a consequence of the statistical distribution of words across spoken and written language. On the surface, these appear to be opposing scientific paradigms. In this review, we aim to show how recent cross-disciplinary developments have done much to (...) reconcile these two approaches. The foundation to these developments has been the recognition that intralinguistic distributional and sensory-motor data are interdependent. We describe recent work in philosophy, psychology, cognitive neuroscience, and computational modeling that are all based on or consistent with this conclusion. We conclude by considering some possible directions for future research that arise as a consequence of these developments. (shrink)

Machine learning, and more broadly artificial intelligence (AI), is a fascinating technology and can be considered as the closest approximation to the Cartesian “thinking thing” that humans have ever created. Just as the industrial revolution required a new ethos, the age of intelligent machines will create its own, challenging the established moral, economic, and political presuppositions. This paper discusses the relationship between AI and society; it presents several thought experiments to explore the complexity of the relationship and highlights the insufficiency (...) of the current normative paradigm in addressing technological expansion. I argue that many of the externalities, such as security risks, loss of privacy, and economic instability will result from trying to fit the emerging technologies into the existing frame of efficiency and utility, by redefining the notions of human value, identity, autonomy, purity, and truth, among others. The age of the intelligent machine is elevating alienation to new levels, treating the individual as mere patterns in data—its primary commodity. I further argue that while the possibility of unintended consequences, due to the potential misuse of AI is ever present, the intelligent machine per se is unlikely to engage in a zero-sum game for power on its own initiative. I question whether singularity is at all attainable and argue that technology will forever remain a proxy for human interests. I conclude by posing questions for charting the path forward. Through this analysis, I aim to provide a more nuanced understanding of the complex relationship between the AI and humans. (shrink)

In the period between Turing’s 1950 “Computing Machinery and Intelligence” and the current considerable public exposure to the term “artificial intelligence ”, Turing’s question “Can a machine think?” has become a topic of daily debate in the media, the home, and, indeed, the pub. However, “Can a machine think?” is sliding towards a more controversial issue: “Can a machine be conscious?” Of course, the two issues are linked. It is held here that consciousness is a pre-requisite to thought. In Turing’s (...) imitation game, a conscious human player is replaced by a machine, which, in the first place, is assumed not to be conscious, and which may fool an interlocutor, as consciousness cannot be perceived from an individual’s speech or action. Here, the developing paradigm of machine consciousness is examined and combined with an extant analysis of living consciousness to argue that a conscious machine is feasible, and capable of thinking. The route to this utilizes learning in a “neural state machine”, which brings into play Turing’s view of neural “unorganized” machines. The conclusion is that a machine of the “unorganized” kind could have an artificial form of consciousness that resembles the natural form and that throws some light on its nature. (shrink)

In this article, I analyze how the relationship of developmental psychology with general psychology and cognitive science has unfolded. This historical analysis will provide a background for a critical examination of the present state of the art. I shall argue that the study of human mind is inherently connected with the study of its development. From the beginning of psychology as a discipline, general psychology and developmental psychology have followed parallel and relatively separated paths. This separation between adult and child (...) studies has also persisted with the emergence of cognitive science. The reason is due essentially to methodological problems that have involved not only research methods but also the very object of inquiry. At present, things have evolved in many ways. Psychology and cognitive science have enlarged their scope to include change process and the interaction between mind and environment. On the other hand, the possibility of using experimental methods to study infancy has allowed us to realize the complexity of young humans. These facts have paved the way for new possibilities of convergence, which are eliciting interesting results, despite a number of ongoing problems related to methods. (shrink)

This paper offers practical advice about how to interact with machines that we have reason to believe could have minds. I argue that we should approach these interactions by assigning credences to judgements about whether the machines in question can think. We should treat the premises of philosophical arguments about whether these machines can think as offering evidence that may increase or reduce these credences. I describe two cases in which you should refrain from doing as your favored philosophical view (...) about thinking machines suggests. Even if you believe that machines are mindless, you should acknowledge that treating them as if they are mindless risks wronging them. Suppose your considered philosophical view that a machine has a mind leads you to consider dating it. You may have reason to regret that decision should these dates lead on to a life-long relationship with a mindless machine. In the paper’s final section, I suggest that building a machine that is capable of performing all intelligent human behavior should produce a general increase in confidence that machines can think. Any reasonable judge should count this feat as evidence in favor of machines having minds. This rational nudge could lead to broad acceptance of the idea that machines can think. (shrink)

Штучний інтелект — це комп’ютерна система, яка мислить або діє як людина. Особливості ШІ втілюють імпліцитні уявлення його розробників про природу людини. «Сильний» ШІ, який має загальні коґнітивні здатності дорослої людини, досі не створено, натомість «слабкі» ШІ вже є частиною планетарної обчислювальної інфраструктури. Нейронно-мережеві ШІ імі- тують специфічні типи людської поведінки, узагальнюючи дані про повсякденне життя ко- ристувачів. Такий підхід у створенні ШІ відповідає філософському мейнстріму ХХ сторіччя, коли повсякденне життя розглядали як джерело мовних та соціальних наперед-даностей, що забезпечують порозуміння. (...) Також цей підхід спирається на класичну дихотомію «людина— машина» й відповідне уявлення, що людська природа є стабільною та незалежною від техно- логічного стану. Проте у постметафізичну добу, коли взаємодія людини з технікою є комуні- кативною, а не інструментальною, дані про людський побут не можуть бути незалежним зразком людськості. ШІ-застосунки не лише кодифікують дескриптивні аспекти людської природи, а й дисциплінують своїх користувачів, адже цифрове середовище, в якому можуть бути зібрані дані про повсякдення, уже впорядковане за допомогою ШІ. Відповідно, у цифро- во му середовищі люди змушені відтворювати нові норми поведінки, кодифіковані за допомо- гою ШІ, який є одним із способів видозміни людської природи самою людиною. Вплив ШІ непомітний, позаяк цифрове середовище, в якому люди взаємодіють з ШІ, організовано не- достат ньо зрозумілим для користувачів чином. Антропотехнологічний характер ШІ є по бічним наслідком розвитку платформ, тому творці ШІ не перебирають на себе відповідальність за вті лені в їхніх розробках норми. (shrink)

I will argue that the scientific investigation of philosophical intuition ('experimental philosophy') is of philosophical interest. I will defend the significance of experimental philosophy against two important types of objection. I will term the first objection 'eliminativism' about intuitions: roughly, it is the claim that philosophical methodology does not in fact rely on intuition, and thus experimental philosophy's investigation is ill-conceived—in the words of one such opponent, 'a big mistake.' I will then consider a second objection, the 'expertise' defence. The (...) expertise defence argues that the expert intuitions of professional philosophers are distinct, and to be preferred to those of the 'folk.' Against the eliminativists, I will argue that an ineliminable mental component remains that can be subject of fruitful empirical investigation. Against the expertise defence I will argue that, at least in the context of philosophy of language, expertise is itself a potential source of bias. Since expertise is domain-specific, however, a general rebuttal will not be given. I will conclude that experimental philosophy has much to contribute. (shrink)

The late 19th-century Ignorabimus controversy over the limits of scientific knowledge has often been characterized as proclaiming the end of intellectual progress, and by implication, as plunging Germany into a crisis of pessimism from which Liberalism never recovered. My research supports the opposite interpretation. The initiator of the Ignorabimus controversy, Emil du Bois-Reymond, was a physiologist who worked his whole life against the forces of obscurantism, whether they came from the Catholic and Conservative Right or the scientistic and millenarian Left. (...) Du Bois-Reymond’s doubt that scientists would ever elucidate consciousness must therefore be seen as an endorsement, and not a rejection, of his faith in reason. (shrink)

The main trends underlying advancements in AI technology are increased autonomy, increased functionality, higher level social interaction and integration, and, many suggest, hard-wired ethical codes of conduct. These trends, along with the promises of engineers and scientists, give us ample reason to evaluate the agency of future AI machines.

Psychology, according to a standard dictionary definition, is the science of mind and behavior. For a major part of the twentieth century, (nonhuman) animal psychology was on a behavioristic track that explicitly denied the possibility of a science of animal mind. While many comparative psychologists remain wedded to behavioristic methods, they have more recently adopted a cognitive, information-processing approach that does not adhere to the strictures of stimulus-response explanations of animal behavior. Cognitive ethologists are typically willing to go much further (...) than comparative psychologists by adopting folk-psychological terms to explain the behavior of nonhuman animals. This different attitudes of many scientists presupposes a distinction between cognitive and mental state attributions that is not commonly articulated. This paper seeks to understand that distinction. (shrink)

David Haig propounds and illustrates the unity of a radically revised set of definitions of the family of terms at the heart of philosophy of cognitive science and mind: information, meaning, interpretation, text, choice, possibility, cause. This biological re-grounding of much-debated concepts yields a bounty of insights into the nature of meaning and life. An interpreter is a mechanism that uses information in choice. The capabilities of the interpreter couple an entropy of inputs to an entropy of outputs is dispelled (...) by observation. The second entropy is dispelled. I propose that an interpreter’s response to inputs meaning of the information for the interpreter. In this conceptual framework, the mechanisms of interpreters provide the much-debated link between Shannon information and semantics. (shrink)

The dualist / materialist debates about the nature of consciousness are based on the assumption that an entirely physical universe must ultimately be observable by humans (with infinitely advanced tools). Thus the dualists claim that anything unobservable must be non-physical, while the materialists argue that in theory nothing is unobservable. However, there may be fundamental limitations in the power of human observation, no matter how well aided, that greatly curtail our ability to know and observe even a fully physical universe. (...) This paper presents arguments to support the model of an inherently limited observer and explores the consequences of this view. (shrink)

Cognitive science has been beset for thirty years by foundational disputes about the nature and extension of cognition—e.g. whether cognition is necessarily representational, whether cognitive processes extend outside the brain or body, and whether plants or microbes have them. Whereas previous philosophical work aimed to settle these disputes, I aim to understand what conception of cognition scientists could share given that they disagree so fundamentally. To this end, I develop a number of variations on traditional conceptual explication, and defend a (...) novel explication of cognition called the sensitive management hypothesis. -/- Since expert judgments about the extension of “cognition” vary so much, I argue that there is value in explication that accurately models the variance in judgments rather than taking sides or treating that variance as noise. I say of explications that accomplish this that they are ecumenically extensionally adequate. Thus, rather than adjudicating whether, say, plants can have cognitive processes like humans, an ecumenically adequate explication should classify these cases differently: human cognitive processes as paradigmatically cognitive, and plant processes as controversially cognitive. -/- I achieve ecumenical adequacy by articulating conceptual explications with parameters, or terms that can be assigned a number of distinct interpretations based on the background commitments of participants in a discourse. For example, an explication might require that cognition cause “behavior,” and imply that plant processes are cognitive or not depending on whether anything plants do can be considered “behavior.” Parameterization provides a unified treatment of embattled concepts by isolating topics of disagreement in a small number of parameters. -/- I incorporate these innovations into an account on which cognition is the “sensitive management of organismal behavior.” The sensitive management hypothesis is ecumenically extensionally adequate, accurately classifying a broad variety of cases as paradigmatically or controversially cognitive phenomena. I also describe an extremely permissive version of the sensitive management hypothesis, arguing that it has the potential to explain several features of cognitive scientific discourse, including various facts about the way cognitive scientists ascribe representations to cognitive systems. (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)

Qualia--the "what it's like features" of minds--pose a great challenge to a materialist view of the world. The two strongest and most popular objections to materialism based on qualia are the Zombie Argument and the Knowledge Argument. The current dissertation defends materialism against these two popular arguments. ;I argue that if zombie worlds exist, then qualia cause no physical events--they're epiphenomenal$\sb{\rm p},$ or epiphenomenal with respect to the physical domain of our world. I argue, however, that there is good reason (...) to reject the view that qualia are epiphenomenal$\sb{\rm p},$ and thus that there is good reason to deny the existence of zombie worlds. In turn, I argue that the Knowledge Argument likewise requires the existence of zombie worlds, and thus that the Knowledge Argument should likewise be rejected. (shrink)

What type of artificial systems will claim to be conscious and will claim to experience qualia? The ability to comment upon physical states of a brain-like dynamical system coupled with its environment seems to be sufficient to make claims. The flow of internal states in such system, guided and limited by associative memory, is similar to the stream of consciousness. Minimal requirements for an artificial system that will claim to be conscious were given in form of specific architecture named articon. (...) Nonverbal discrimination of the working memory states of the articon gives it the ability to experience different qualities of internal states. Analysis of the inner state flows of such a system during typical behavioral process shows that qualia are inseparable from perception and action. The role of consciousness in learning of skills, when conscious information processing is replaced by subconscious, is elucidated. Arguments confirming that phenomenal experience is a result of cognitive processes are presented. Possible philosophical objections based on the Chinese room and other arguments are discussed, but they are insufficient to refute claims articon’s claims. Conditions for genuine understanding that go beyond the Turing test are presented. Articons may fulfill such conditions and in principle the structure of their experiences may be arbitrarily close to human. (shrink)

For a long time, philosophers have considered the conundrums of consciousness, self-awareness and free will. Much more recently, scientists have joined in and begun to unravel the secrets of mind. Biologists, physicians and psychologists, studying the human brain, but also physicists, engineers, and computer scientists, working on organizational principles of intelligent information processing systems, have contributed to the subject. This contribution explains several “roads to self-awareness”, all of them based on the natural sciences. The first one follows our bio-psychological evolution. (...) The second road starts with the engineer’s point of view and mainly builds on information science and technology, in particular robotics. The third road taken is the most abstract; it exploits complex dynamic systems and their emergent properties. Despite their different origins and methods, these lines of investigation converge. That is, the findings of various fields can be combined into a unified theory of mind and self-awareness, which is the main purpose of this paper. This overall synthesis suggests that the mind results from a multi-hierarchical organizational structure, and self-reflexive flows of information in embodied systems. In addition to this, stable self-awareness appears spontaneously in sufficiently complex robots, when the system’s capability of describing itself crosses the level of conceptually clear information processing. As an application, one obtains a number of construction principles for mentally developing systems that are explained towards the end of this contribution. (shrink)

I argue against the commonly held intuition that robots and virtual agents will never have emotions by contending robots can have emotions in a sense that is functionally similar to humans, even if the robots' emotions are not exactly equivalent to those of humans. To establish a foundation for assessing the robots' emotional capacities, I first define what emotions are by characterizing the components of emotion consistent across emotion theories. Second, I dissect the affective-cognitive architecture of MIT's Kismet and Leonardo, (...) two robots explicitly designed to express emotions and to interact with humans, in order to explore whether they have emotions. I argue that, although Kismet and Leonardo lack the subjective feelings component of emotion, they are capable of having emotions. (shrink)

In this paper we aim to defend a version of the thesis of “extended mind” against the criticism of some authors that consider that the “extracraneal” devices cannott acomplish the requirements that the components of mental processes must meet. We propose a quality of integration as a criterion to be a mental process, and we consider that, in some situations, external devices can be considered as meeting this criterion.

Causal representation in shamanic consciousness is compared with causal representation in ordinary waking consciousness. Causal representation in shamanic experience and in ordinary waking experience can engage strategies involving attribution of intentionality , heuristics , and magical thinking . Such strategies have consequences involving social biases , locus of control, authorship of actions, and supernaturalizing of social life. Similarities of causal representation in shamanic experience and in ordinary waking experience have implications for theories of mind and theories of causal representation, and (...) these implications involve use of metaphor and analogy, modular processing of social information, use of behavioural criteria for mental states, differences between physical causality and social causality, property transmission in causal representation, and whether causal representation involves general or state-specific processes. Principles of causal representation in shamanic consciousness appear consistent with principles of causal representation in ordinary waking consciousness. (shrink)

Interdisciplinary investigations marry the methods and concerns of different fields. Computer science is the study of precise descriptions of finite processes; semantics is the study of meaning in language. Thus, computational semantics embraces any project that approaches the phenomenon of meaning by way of tasks that can be performed by following definite sets of mechanical instructions. So understood, computational semantics revels in applying semantics, by creating intelligent devices whose broader behavior fits the meanings of utterances, and not just their form. (...) IBM’s Watson (Ferrucci, Brown, Chu-Carroll, Fan, Gondek, Kalyanpur, Lally, Murdock, Nyberg, Prager, Schlaefer & Welty 2010) is a harbinger of the excitement and potential of this technology. (shrink)

We argue that the locomotion of organisms is better understood as a form of interaction with a subjective environment, rather than as a set of behaviors allegedly amenable to objective descriptions. An organism's interactions with its subjective environment are in turn understandable in terms of its cognitive architecture. We propose a large-scale classification of the possible types of cognitive architectures, giving a sketch of the subjective structure that each of them superimposes on space and of the relevant consequences on locomotion. (...) The classification comprises a main division between nonrepresentational and representational architectures and further subdivisions. (shrink)

The multidimensional logic is a paraconsistent logic modelling suitable for the human features’ simulations involving contradiction. This paper briefly present how AI (artificial intelligence) can make its logic procedures more flexible by multidimensional logic. The analysis of this logic modelling raise fundamental problems involving human mind’s models, as the evaluation of truthfulness of logic premises. In this sense, alternative ways are pointed through the establishment of motivated rather than arbitrary relations between premises used in logic and something that are represented (...) by them. We claim that motivated relations could be an interesting way toward a most satisfactory AI model of human mind, instead just a simulation of it. (shrink)

The overall aim of this thesis is to look at some philosophical issues surrounding autonomous systems in society and war. These issues can be divided into three main categories. The first, discussed in papers I and II, concerns ethical issues surrounding the use of autonomous systems – where the focus in this thesis is on military robots. The second issue, discussed in paper III, concerns how to make sure that advanced robots behave ethically adequate. The third issue, discussed in papers (...) IV and V, has to do with agency and responsibility. Another issue, somewhat aside from the philosophical, has to do with coping with future technologies, and developing methods for dealing with potentially disruptive technologies. This is discussed in papers VI and VII. Paper I systemizes some ethical issues surrounding the use of UAVs in war, with the laws of war as a backdrop. It is suggested that the laws of war are too wide and might be interpreted differently depending on which normative moral theory is used. Paper II is about future, more advanced autonomous robots, and whether the use of such robots can undermine the justification for killing in war. The suggestion is that this justification is substantially undermined if robots are used to replace humans to a high extent. Papers I and II both suggest revisions or additions to the laws or war. Paper III provides a discussion on one normative moral theory – ethics of care – connected to care robots. The aim is twofold: first, to provide a plausible and ethically relevant interpretation of the key term care in ethics of care, and second, to discuss whether ethics of care may be a suitable theory to implement in care robots. Paper IV discusses robots connected to agency and responsibility, with a focus on consciousness. The paper has a functionalistic approach, and it is suggested that robots should be considered agents if they can behave as if they are, in a moral Turing test. Paper V is also about robots and agency, but with a focus on free will. The main question is whether robots can have free will in the same sense as we consider humans to have free will when holding them responsible for their actions in a court of law. It is argued that autonomy with respect to norms is crucial for the agency of robots. Paper VI investigates the assessment of socially disruptive technological change. The coevolution of society and potentially disruptive technolgies makes decision-guidance on such technologies difficult. Four basic principles are proposed for such decision guidance, involving interdisciplinary and participatory elements. Paper VII applies the results from paper VI – and a workshop – to autonomous systems, a potentially disruptive technology. A method for dealing with potentially disruptive technolgies is developed in the paper. (shrink)

Prompted and ever diversified by the specifically human interrogative logos, scientific inquiries seek a common system of links in order to mutually confirm and rectify their results. Coming closer and closer to phenomenology, the sciences of life find the common ground of the reality in the ontopoiesis of life. Could it not be that the interrogative logos of science, participating in human creative inventiveness will bring together also the divergent scientific methods in a common network? A network which comprises natural (...) processes, societal sharing-in-life, and existential communication. Papers by: Gary Backhaus, Anjana Bhattacharjee, Simon Du Plock, Ignacy Fiut, Maria Golaszewska, Wendy C. Hamblet, Alexandr Kouzmin, Nikolay Kozhevnikov, Olga Louchakova, Jarlath Mc Kenna, Amy Louise Miller, Aria Omrani, Arthur Piper, Leszek Pyra, W. Kim Rogers, A.L. Samian, Camilo Serrano Bonitto, Natalia Smirnova, Eva Syristova, Anna-Teresa Tymieniecka, Roberto Verolini, Eldon C. Wait, Leo Zonneveld. (shrink)

Eliminative functionalism is the view that mental attributes, of humans and other machines, consist ultimately in behavioural abilities or dispositions. Hence, ‘Strong AI’: if a machine consistently acts as if it were fully conscious, then conscious it is. From these assumptions, optimistic futurists have derived a variety of remarkable visions of our ‘post-human’ future; from widely-recognised ‘robot rights’ to ‘mind uploading’, immortality, ‘apotheosis’ and beyond. It is argued here, however, that eliminative functionalism is false; for at least on our present (...) knowledge, the subjectively qualitative characteristics of conscious experience are neither deducible from, nor logically required to generate, the performance of any sort of overtly ‘intelligent’, or indeed, characteristically human behaviour. Thus, a machine could easily be designed to report awareness of phenomenal qualities, without necessarily possessing them; and Alan Turing’s ‘Imitation Game’ test for artificial thinking is unable to determine whether or not a machine is sentient. An alternative test is proposed, in which the machine is asked phenomenological questions under conditions designed to detect any form of cheating—whilst also, potentially revealing evidence for the occurrence of genuine qualitative experience. (shrink)

Resumen Este artículo examina el papel de la ficción como laboratorio mental, que ayuda al filósofo a plantear y discutir los diferentes análisis creados en el campo de la filosofía de la mente. De manera particular se enfoca en algunos de los cuentos que Daniel Dennett ha contado acerca del problema de la conciencia. Es por eso que este artículo también intenta responder preguntas como: ¿Cuál es la relación entre la conciencia y el Centro de Gravedad Narrativo propuesto por Dennett? (...) ¿La mente está hecha de historias? ¿Puede haber un uso semántico en el habla de una inteligencia artificial que no posee experiencia corporal del mundo? Palabras clave: ficción; cuerpo; mente; conciencia; self; creencias; semántica. Fiction, Body and Mind: The Dennett CaseThis paper examines the role of fiction as a mental laboratory that helps the philosopher to pose and discuss the various analyses created in the philosophy of mind. It focuses particularly on some of the tales that Daniel Dennett has told about the problem of consciousness. That is why this paper also attempts to answer questions such as: What is the relation of consciousness to Dennett’s Center of Narrative Gravity? Is the mind made of stories? Can there be a semantic use in speech of an artificial inteligence that does not have a bodily experience of the world? Keywords : Fiction; Body; Mind; Consciousness; Self; Beliefs; Semantics. (shrink)