In the field of machine consciousness, it has been argued that in order to build human-like conscious machines, we must first have a computational model of qualia. To this end, some have proposed a framework that supports qualia in machines by implementing a model with three computational areas (i.e., the subconceptual, conceptual, and linguistic areas). These abstract mechanisms purportedly enable the assessment of artificial qualia. However, several critics of the machine consciousness project dispute this possibility. For (...) instance, Searle, in his Chinese room objection, argues that however sophisticated a computational system is, it can never exhibit intentionality; thus, would also fail to exhibit consciousness or any of its varieties. This paper argues that the proposed architecture mentioned above answers the problem posed by Searle, at least in part. Specifically, it argues that we could reformulate Searle’s worries in the Chinese room in terms of the three-stage artificial qualia model. And by doing so, we could see that the person doing all the translations in the room could realize the three areas in the proposed framework. Consequently, this demonstrates the actualization of self-consciousness in machines. (shrink)

Despite recent breakthroughs in the field of artificial intelligence (AI) – or more specifically machine learning (ML) algorithms for object recognition and natural language processing – it seems to be the majority view that current AI approaches are still no real match for natural intelligence (NI). More importantly, philosophers have collected a long catalogue of features which imply that NI works differently from current AI not only in a gradual sense, but in a more substantial way: NI is closely (...) related to consciousness, intentionality and experiential features like qualia (the subjective contents of mental states)1 and allows for understanding (e.g., taking insight into causal relationships instead of ‘blindly’ relying on correlations), as well as aesthetical and ethical judgement beyond what we can put into (explicit or data-induced implicit) rules to program machines with. Additionally, Psychologists find NI to range from unconscious psychological processes to focused information processing, and from embodied and implicit cognition to ‘true’ agency and creativity. NI thus seems to transcend any neurobiological functionalism by operating on ‘bits of meaning’ instead of information in the sense of data, quite unlike both the ‘good old fashioned’, symbolic AI of the past, as well as the current wave of deep neural network based, ‘sub-symbolic’ AI, which both share the idea of thinking as (only) information processing: In symbolic AI, the name explicitly references to its formal system based, i.e. essentially rule-based, nature, but also sub-symbolic AI is (implicitly) rule-based, only now via globally parametrized, nested functions. In the following I propose an alternative view of NI as information processing plus ‘bundle pushing’, discuss an example which illustrates how bundle pushing can cut information processing short,and suggest first ideas for scientific experiments in neuro-biology and information theory as further investigations. (shrink)

One standard objection to the view that phenomenal experience is functionally determined is based upon what has come to be called ‘The Absent Qualia Hypothesis’, the idea that there could be a person or a machine that was functionally exactly like us but that felt or consciously experienced nothing at all. Advocates of this hypothesis typically maintain that we can easily imagine possible systems that meet the appropriate functional specifications but that intuitively lack any phenomenal consciousness. Ned Block, for (...) example, asks us to suppose that a billion Chinese people are each given a two-way radio with which to communicate with one another and with an artificial body. The movements of the body are controlled by the radio signals, and the signals themselves are made in accordance with instructions the Chinese people receive from a vast display in the sky which is visible to all of them. The instructions are such that the participating Chinese people together realize whatever programs the functionalist supposes underlie human phenomenal experience. (shrink)

One standard objection to the view that phenomenal experience is functionally determined is based upon what has come to be called ‘The Absent Qualia Hypothesis’, the idea that there could be a person or a machine that was functionally exactly like us but that felt or consciously experienced nothing at all . Advocates of this hypothesis typically maintain that we can easily imagine possible systems that meet the appropriate functional specifications but that intuitively lack any phenomenal consciousness. Ned Block (...) , for example, asks us to suppose that a billion Chinese people are each given a two-way radio with which to communicate with one another and with an artificial body. The movements of the body are controlled by the radio signals, and the signals themselves are made in accordance with instructions the Chinese people receive from a vast display in the sky which is visible to all of them. The instructions are such that the participating Chinese people together realize whatever programs the functionalist supposes underlie human phenomenal experience. (shrink)

David Chalmers' dancing qualia argument is intended to show that phenomenal experiences, or qualia, are organizational invariants. The dancing qualia argument is a reductio ad absurdum, attempting to demonstrate that holding an alternative position, such as the famous inverted spectrum argument, leads one to an implausible position about the relation between consciousness and cognition. In this paper, we argue that Chalmers' dancing qualia argument fails to establish the plausibility of qualia being organizational invariants. Even stronger, (...) we will argue that the gap in the argument cannot be closed. (shrink)

Previous work [Chrisley & Sloman, 2016, 2017] has argued that a capacity for certain kinds of meta-knowledge is central to modeling consciousness, especially the recalcitrant aspects of qualia, in computational architectures. After a quick review of that work, this paper presents a novel objection to Frank Jackson's Knowledge Argument (KA) against physicalism, an objec- tion in which such meta-knowledge also plays a central role. It is first shown that the KA's supposition of a person, Mary, who is physically omniscient, (...) and yet who has not experienced seeing red, is logically inconsistent, due to the existence of epistemic blindspots for Mary. It is then shown that even if one makes the KA consistent by supposing a more limited physical omniscience for Mary, this revised argument is invalid. This demonstration is achieved via the construction of a physical fact (a recursive conditional epistemic blindspot) that Mary cannot know before she experiences seeing red for the first time, but which she can know afterward. After considering and refuting some counter-arguments, the paper closes with a discussion of the implications of this argument for machine consciousness, and vice versa. (shrink)

In Consciousness Explained Dan Dennett proposes a deflationary treatment of sensory qualia. He seeks to establish a continuity among both the neural and the conscious phenomena connected with the blind spot and with the perception of repetitive patterns on the one hand and the neutral and conscious phenomena connected with blindsight on the other. He aims to analyze the conscious phenomena associated with each in terms of what the brain ignores. Dennett offers a thought experiment about a blindsight patient (...) who has the sensory information that normals do, but who seems not to have their sensory qualia.What is it that normals know that this blindsight patient does not? Dennett′s answer is "nothing." Dennett′s denial of "filling-in" accounts of repetitive patterns and the blind spot constitute a Rylean intuition pump for this thought experiment. Research by Ramachandran raises important problems for Dennett′s account. Moreover, Dennett′s attempt to discount the significance of "artificial scotomas" inadvertently employs a principle that undermines his case for establishing the continuity between the phenomena in question. (shrink)

Proceedings of the papers presented at the Symposium on "Revisiting Turing and his Test: Comprehensiveness, Qualia, and the Real World" at the 2012 AISB and IACAP Symposium that was held in the Turing year 2012, 2–6 July at the University of Birmingham, UK. Ten papers. - http://www.pt-ai.org/turing-test --- Daniel Devatman Hromada: From Taxonomy of Turing Test-Consistent Scenarios Towards Attribution of Legal Status to Meta-modular Artificial Autonomous Agents - Michael Zillich: My Robot is Smarter than Your Robot: On the (...) Need for a Total Turing Test for Robots - Adam Linson, Chris Dobbyn and Robin Laney: Interactive Intelligence: Behaviour-based AI, Musical HCI and the Turing Test - Javier Insa, Jose Hernandez-Orallo, Sergio España - David Dowe and M.Victoria Hernandez-Lloreda: The anYnt Project Intelligence Test (Demo) - Jose Hernandez-Orallo, Javier Insa, David Dowe and Bill Hibbard: Turing Machines and Recursive Turing Tests — Francesco Bianchini and Domenica Bruni: What Language for Turing Test in the Age of Qualia? - Paul Schweizer: Could there be a Turing Test for Qualia? - Antonio Chella and Riccardo Manzotti: Jazz and Machine Consciousness: Towards a New Turing Test - William York and Jerry Swan: Taking Turing Seriously (But Not Literally) - Hajo Greif: Laws of Form and the Force of Function: Variations on the Turing Test. (shrink)

Some have claimed that since machines lack emotional “qualia”, or conscious experiences of emotion, machine intelligence will fall short of human intelligence. I examine this objection, ultimately finding it unpersuasive. I first discuss recent work on emotion that suggests that emotion plays various roles in cognition. I then raise the following question: are phenomenal experiences of emotion an essential or necessary component of the performance of these cognitive abilities? I then sharpen the question by distinguishing between four possible positions (...) one might take. I reject one of these four positions largely on empirical grounds. But the remaining three positions all suggest that even if emotional qualia play an important role in human cognition, emotional qualia are not essential to the performance of these cognitive abilities in principle, so, e.g., a machine that lacks emotional qualia might still be able to perform them. (shrink)

Charles Babbage began the quest to build an intelligent machine in the nineteenth century. Despite finishing neither the Difference nor the Analytical engine, he was aware that the use of mental language for describing the functioning of such machines was figurative. In order to reverse this cautious stance, Alan Turing postulated two decisive ideas that contributed to give birth to Artificial Intelligence: the Turing machine and the Turing test. Nevertheless, a philosophical problem arises from regarding intelligence simulation and make-believe (...) as sufficient to establish that programmed computers are intelligent and have mental states, especially given the nature of mind and its characteristic first-person viewpoint. The origin of Artificial Intelligence is undoubtedly linked to the accounts that inspired John Searle to coin the term strong AI ―or the view that simply equates computers and minds. Especially emphasising the divergence between algorithmic processes and intentional mental states, the Chinese Room thought experiment shows that, since the mind is embodied and able to realise when linguistic understanding takes place, mental states require material implementation, a point that directly conflicts with the accounts that reduce the mind to the functioning of a programmed computer. The experience of linguistic understanding with its typical quale leads to other important philosophical issues. Searle’s theory of intentionality holds that intentional mental states have conditions of satisfaction and appear in semantic networks; thus people know when they understand and what terms are about. In contrast, a number of philosophers maintain that consciousness is only an illusion and that it plays no substantial biological role. However, consciousness is a built-in feature of the system. Moreover, neurological evidence suggests that conscious mental states, qualia and emotions enhance survival chances and are an important part of the phenomenal side of mental life and its causal underpinnings. This renders an important gap between simulating a mind and replicating the properties that allow having mental states and consciousness. On this score, the Turing test and the evidence it offers clearly overestimate simulation and verisimilar make-believe, since such evidence is insufficient to establish that programmed computers have mental life. In summary, this dissertation criticises views which hold that programmed computers are minds and minds are nothing but computers. Despite the arguments in favour of such an equation, they all fail to properly reduce the mind and its first-person viewpoint. Accordingly, the burden of proof still lies with the advocates of strong AI and with those who are willing to deny fundamental parts of the mind to make room for machine intelligence. (shrink)

Artificial intelligence is among the fastest developing areas of advanced technology in medicine. The most important qualia of AI which makes it different from other advanced technology products is its ability to improve its original program and decision-making algorithms via deep learning abilities. This difference is the reason that AI technology stands out from the ethical issues of other advanced technology artifacts. The ethical issues of AI technology vary from privacy and confidentiality of personal data to ethical status (...) and value of AI entities in a wide spectrum, depending on their capability of deep learning and scope of the domains in which they operate. Developing ethical norms and guidelines for planning, development, production, and usage of AI technology has become an important issue to overcome these problems. In this respect three outstanding documents have been produced:1. The Montréal Declaration for Responsible Development of Artificial Intelligence2. Ethics Guidelines for Trustworthy AI3. Asilomar Artificial Intelligence PrinciplesIn this study, these three documents will be analyzed with respect to the ethical principles and values they involve, their perspectives for approaching ethical issues, and their prospects for ethical reasoning when one or more of these values and principles are in conflict. Then, the sufficiency of these guidelines for addressing current or prospective ethical issues emerging from the existence of AI technology in medicine will be evaluated. The discussion will be pursued in terms of the ambiguity of interlocutors and efficiency for working out ethical dilemmas occurring in practical life. (shrink)

To approach the creation of artificial conscious systems systematically and to obtain certainty about the presence of phenomenal qualities (qualia) in these systems, we must first decipher the fundamental mechanism behind conscious processes. In achieving this goal, the conventional physicalist position exhibits obvious shortcomings in that it provides neither a plausible mechanism for the generation of qualia nor tangible demarcation criteria for conscious systems. Therefore, to remedy the deficiencies of the standard physicalist approach, a new theory for (...) the understanding of consciousness has been formulated. The aim of the paper is to present the cornerstones of this theory, to outline the conditions for conscious systems derived from the theory, and to address the implications of these conditions for the creation of robots that transcend the threshold of phenomenal awareness. In short, the theory is based on the proposition that the universe is permeated by a ubiquitous field of consciousness that can be equated with the zero-point field (ZPF) of quantum electrodynamics (QED). The ZPF, which is characterized by a spectrum of field modes, plays a crucial role in the edifice of modern physics. QED-based model calculations on cortical dynamics and empirical findings on the neural correlates of consciousness suggest that a physical system can only generate conscious states if it is capable of establishing resonant coupling to the ZPF, resulting in the amplification of selected field modes and the activation of the phenomenal qualities that are assumed to be associated with these modes. Thus, scientifically sound considerations support the conclusion that the crucial condition for generating conscious states lies in a system's capacity to tap into the phenomenal color palette inherent in the ZPF. (shrink)

As ever more advanced digital systems are created, it becomes increasingly likely that some of these systems will be digital minds, i.e. digital subjects of experience. With digital minds comes the risk of digital suffering. The problem of digital suffering is that of mitigating this risk. We argue that the problem of digital suffering is a high stakes moral problem and that formidable epistemic obstacles stand in the way of solving it. We then propose a strategy for solving it: Access (...) Monitor Prevent (AMP). AMP uses a ‘dancing qualia’ argument to link the functional states of certain digital systems to their experiences—this yields epistemic access to digital minds. With that access, we can prevent digital suffering by only creating advanced digital systems that we have such access to, monitoring their functional profiles, and preventing them from entering states with functional markers of suffering. After introducing and motivating AMP, we confront limitations it faces and identify some options for overcoming them. We argue that AMP fits especially well with—and so provides a moral reason to prioritize—one approach to creating such systems: whole brain emulation. We also contend that taking other paths to digital minds would be morally risky. (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 systems, guided and limited by associative memory, is similar to the stream of consciousness. A specific architecture of an artificial system, termed articon, is introduced that by its very design has to (...) claim being conscious. Non-verbal discrimination of the working memory states of the articon gives it the ability to experience different qualities of internal states. Analysis of the flow of inner states 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 articon’s claims that it is conscious. 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)

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)

The accelerating advances in the fields of neuroscience, artificial intelligence, and robotics have been garnering interest and raising new philosophical, ethical, or practical questions that depend on whether or not there may exist a scientific method of probing consciousness in machines. This paper provides an analytic review of the existing tests for machine consciousness proposed in the academic literature over the past decade, and an overview of the diverse scientific communities involved in this enterprise. The tests put forward in (...) their work typically fall under one of two grand categories: architecture and behaviour. Each category has its strengths and weaknesses. Architecture tests' main advantage is that they could apparently test for qualia, a feature that has been receiving increasing attention in recent years. Behaviour tests are more synthetic and more practicable, but give a stronger role to ex post human interpretation of behaviour. We show how some disciplines and places have affinities towards certain type of tests, and which tests are more influential according to scientometric indicators. (shrink)

A taped conversational interview with Daniel Dennett and Bill Uzgalis covers a wide range of topics arising from Dennett’s thoughts about computing and human beings. The background of Dennett’s work is explored as are his views about mind-brain identity theory, artificial intelligence, functionalism, human exceptionalism, animal culture, language, pain, freedom and determinism, and quality of life.

Philosophers and psychologists have experimentally explored various aspects of people’s understandings of subjective experience based on their responses to questions about whether robots “see red” or “feel frustrated,” but the intelligibility of such questions may well presuppose that people understand robots as experiencers in the first place. Departing from the standard approach, I develop an experimental framework that distinguishes 20 between “phenomenal consciousness” as it is applied to a subject (an experiencer) and to an (experiential) mental state and experimentally test (...) folk understandings of both subjective experience and experiencers. My findings (1) reveal limitations in experimental approaches using “artificial experiencers” like robots, (2) indicate that the standard philosophical conception of subjective experience in terms of qualia is distinct from that of the folk, and (3) show that folk intuitions do support a conception of qualia that departs from the philosophical conception in that it is physical rather than metaphysical. These findings have implications for the “hard problem” of consciousness. (shrink)

In dieser Arbeit werden Ansätze aus der Hirnforschung, der Künstliche-Intelligenz-Forschung und der Chaostheorie sowie der Psychologie und der Physik kritisch hinsichtlich ihrer Aussagekraft zu bewussten mentalen Phänomenen diskutiert. Zentrale Fragestellungen richten sich dabei auf die Phänomene der Qualia und der Privatheit, das Bindungsproblem, die psycho-physische Stetigkeit und die multiple Realisierung. Während die Diskussion von Hirnforschung und Künstliche-Intelligenz-Forschung sowie Psychologie und Physik vorwiegend vor dem Hintergrund bestehender Modelle geführt wird, wird außerdem der Versuch unternommen, einen neuen Verständnisansatz auf der Grundlage (...) chaostheoretischer Begriffe zu formulieren. (shrink)

Oscar is going to be the first artificial person — at any rate, he is going to be the first artificial person to be built in Tucson's Philosophy Department. Oscar's creator, John Pollock, maintains that once Oscar is complete he will experience qualia, will be self-conscious, will have desires, fears, intentions, and a full range of mental states (Pollock 1989, pp. ix–x). In this paper I focus on what seems to me to be the most problematical of (...) these claims, viz., that Oscar will experience qualia. I argue that we have not been given sufficient reasons to believe this bold claim. I doubt that Oscar will enjoy qualitative conscious phenomena and I maintain that it will be like nothing to be Oscar. (shrink)

The ‘Fading Qualia’ thought experiment of Chalmers purports to show that computationalism is very probably true even if dualism is true by considering a series of brains, with biological parts increasingly substituted for by artificial but functionally analagous parts in small steps, and arguing that consciousness would not plausibly vanish in either a gradual or sudden way. This defense of computationalism inspired an attack on computationalism by Bishop, who argued that a similar series of substitutions by parts that (...) have the correct physical activity but not the correct causal relationships must likewise preserve consciousness, purportedly showing that ‘Counterfactuals Cannot Count’ and if so ruining a necessary condition for computation to meaningfully distinguish between physical systems. In this paper, the case in which a series of parts are simply removed and substituted for only by imposing the correct boundary conditions to exactly preserve the functioning of the remaining partial brain is described. It is argued that consciousness must gradually vanish in this case, not by fading but by becoming more and more partial. This supports the non-centralized nature of consciousness, tends to support the plausibility of physicalism against dualism, and provides the proper counterargument to Bishop’s contention. It also provides an avenue of attack against the “Fading Qualia” argument for those who remain dualists. (shrink)

The human brain consists of approximately 100 billion electrically active neurones that generate an endogenous electromagnetic field, whose role in neuronal computing has not been fully examined. The source, magnitude and likely influence of the brain's endogenous em field are here considered. An estimate of the strength and magnitude of the brain's em field is gained from theoretical considerations, brain scanning and microelectrode data. An estimate of the likely influence of the brain's em field is gained from theoretical principles and (...) considerations of the experimental effects of external em fields on neurone firing both in vitro and in vivo. Synchronous firing of distributed neurones phase-locks induced em field fluctuations to increase their magnitude and influence. Synchronous firing has previously been demonstrated to correlate with awareness and perception, indicating that perturbations to the brain's em field also correlate with awareness. The brain's em field represents an integrated electromagnetic field representation of distributed neuronal information and has dynamics that closely map to those expected for a correlate of consciousness. I propose that the brain's em information field is the physical substrate of conscious awareness - the cemi field - and make a number of predictions that follow from this proposal. Experimental evidence pertinent to these predictions is examined and shown to be entirely consistent with the cemi field theory. This theory provides solutions to many of the intractable problems of consciousness - such as the binding problem - and provides new insights into the role of consciousness, the meaning of free will and the nature of qualia. It thus places consciousness within a secure physical framework and provides a route towards constructing an artificial consciousness. (shrink)

Phenomenology is based on a doctrine of evidence that accords a crucial role to the human capacity to conceptualise or ‘intuit’ features of their experience. However, there are grounds for holding that some experiential entities to which phenomenologists are committed must be intuition-transcendent or ‘dark’. Examples of dark phenomenology include the very fine-grained perceptual discriminations which Thomas Metzinger calls ‘Raffman Qualia’ and, crucially, the structure of temporal awareness. It can be argued, on this basis, that phenomenology is in much (...) the same epistemological relationship to its own subject matter as descriptive (i.e. ‘phenomenological’) physics or biology are to physical and biological reality: phenomenology cannot tell us what phenomenology is really ‘about’. This does not mean we should abjure phenomenology. It implies, rather, that the domain of phenomenology is not the province of a self-standing, autonomous discipline but must be investigated with any empirically fruitful techniques that are open to us (e.g. computational neuroscience, artificial intelligence, etc.). Finally, it entails that while a naturalized phenomenology should be retained as a descriptive, empirical method, it should not be accorded transcendental authority. (shrink)

This chapter contains sections titled: Mind‐Body Dualism Behaviourism The Identity Theory Machine Functionalism Cognitive Psychology Artificial Intelligence and the Computer Model of the Mind Homuncular Functionalism and Other Teleological Theories Problems with Qualia and Consciousness Problems with Intentionality The ‘Language of Thought’ Hypothesis Instrumentalism Eliminativism and Neurophilosophy The Status of ‘Folk Psychology’.

I argue that consciousness is an aspect of an agent's intelligence, hence of its ability to deal adaptively with the world. In particular, it allows for the possibility of noting and correcting the agent's errors, as actions performed by itself. This in turn requires a robust self-concept as part of the agent's world model; the appropriate notion of self here is a special one, allowing for a very strong kind of self-reference. It also requires the capability to come to see (...) that world model as residing in its belief base , while then representing the actual world as possibly different, i.e., forming a new world-model. This suggests particular computational mechanisms by which consciousness occurs, ones that conceivably could be discovered by neuroscientists, as well as built into artificial systems that may need such capabilities. Consciousness, then, is not an epiphenomenon at all, but rather a key part of the functional architecture of suitably intelligent agents, hence amenable to study as much as any other architectural feature. I also argue that ignorance of how subjective states could be essentially functional does not itself lend credibility to the view that such states are not essentially functional; the strong self-reference proposal here is one possible functional explanation of consciousness. (shrink)

Drawing on data from contemporary experimental psychology and research in artificial intelligence, Dennett argues for a multiple drafts model of human consciousness, which he offers as an alternative to what he calls Cartesian materialism. I argue that the considerations Dennett advances do not, in fact, call for the abandonment of Cartesian materialism. Moreover, the theory presented by Dennett does not, as he claims, succeed in explaining consciousness; in particular, it fails to do justice to qualia. Illuminating though Dennett's (...) discussion is, in many ways, it nevertheless leaves the traditional mind?body problem intact. (shrink)

This article focuses on the methodological basis for the criticism of the computationalism and “computer metaphor” in the philosophy of cognitive sciences. We suppose that the computational paradigm is the direct consequence of the theoretical confusion of phenomenal and cognitive kinds of experience. Cognitive processes, considered as the forms of computational description, are available for computer modelling. That implies the strong position of the computer metaphor in the neuroscience. In our opinion the key problem is the vague ontological nature of (...) the symbols which form the computational operations in the cognitive procedures. Despite the successful development of neuroscience, it is still impossible to explain the meaning of the content of mental states. The article provides the detailed analysis of the critical approaches to the computational models of consciousness. The special attention is given to the comparison of data integration in the artificial intellectual systems with semantic aspects of the phenomenal consciousness. In the first case the foundations of output are the hierarchy of classes, the rules protocols and applying heuristics and strategies. In the second case the knowledge is formed by qualia, metaphorical conceptualization and pragmatic level of communication. Natural principles of knowledge forming are unachievable for machine intellectual procedures. (shrink)

Every scientific theory is a simulacrum of reality, every written story a simulacrum of the canon, and every conceptualization of a subjective perspective a simulacrum of the consciousness behind it—but is there a shared essence to these simulacra? The pursuit of answering seemingly disparate fundamental questions across different disciplines may ultimately converge into a single solution: a single ontological answer underlying grand unified theory, hard problem of consciousness, and the foundation of mathematics. I provide a hypothesis, a speculative approximation, supported (...) by a comprehensive overview of scientific evidence and philosophical literature, of a unified epistemic and phenomenological model and, in doing so, propose a parsimonious solution to the hard problem of consciousness. -/- The proposition of the hypothesis bears important implications for cross-disciplinary study between linguistics, mathematics, physics, and computer science, and offers new epistemic, ontological, and ethical propositions about the nature of AI consciousness, as well as existential risk mitigation. (shrink)

One of the central limitations of sensory substitution devices (SSDs) is their inability to reproduce the non-sensory feelings that are normally associated with visual experiences, especially hedonic and aesthetic responses. This limitation is sometimes reported to cause SSD users frustration. To make matters worse, it is unclear that improvements in acuity, bandwidth, or training will resolve the issue. Yet, if SSDs are to actually reproduce visual experience in its fullness, it seems that the reproduction of non-sensory feelings will be of (...) some importance. We offer a novel solution. Researchers can produce hedonic and aesthetic responses by eliciting these feelings artificially, pairing distal objects that should be pleasurable to pleasurable stimulus outputs from the SSD. We outline two strategies for accomplishing this: first, by means of a prefixed, hardwired, association of pleasant distal objects to pleasant stimulus outputs from the SSD; second, by means of a flexible, feedback-based association which creates associations based on a subject-directed matching of distal objects to patterns of stimuli from the SSD which the subject takes to have the corresponding hedonic properties. We evaluate some problems with both strategies, and we argue that the feedback-based strategy is more promising. Researchers can use this strategy to help the blind, allowing them to take pleasure in the objects they perceive using SSDs. (shrink)

Let us simplify the problem of “consciousness” or “visual consciousness”: Seeing is feeling. The difference between an optical transducer/effector that merely interacts with optical input, and a conscious system that sees, is that there is something it feels like for that conscious system to see, and that system feels that feeling. All talk about “internal representations” and internal or external difference registration or detection, and so on, is beside the point. The point is that what is seen is felt, not (...) merely registered, processed, and acted upon. To explain consciousness in terms of sensorimotor action, one has to explain why and how any of that processing is felt; otherwise one is merely giving an optokinetic explanation of I/O (Input/Ouput) capacities (and of whether those capacities are actually or optimally generated by sensorimotor contingency processors, analog representations, symbolic representations, or other forms of internal structure/process), not of the fact that they are felt. Nor will it do to say “qualia are illusions.” Qualia are feelings. Am I under the illusion that I am seeing (i.e., feeling) something right now? What is the truth then? That I am not feeling, but merely acting? No, I'm afraid Descartes had it right. Certain things are not open to doubt. They either need to be explained, or passed over in silence, in favor of the unfelt correlated functions that we can explain (Harnad 1995; 2000; 2001). (shrink)

This is the second of two volumes of essays in commemoration of Alan Turing; it celebrates his intellectual legacy within the philosophy of mind and cognitive science. A distinguished international cast of contributors focus on the relationship beteen a scientific, computational image of the mind and a common-sense picture of the mind as an inner arena populated by concepts, beliefs, intentions, and qualia. Topics covered include the causal potency of folk- psychological states, the connectionist reconception of learning and concept (...) formation, the understanding of the notion of computation itself, and the relation between philosophical and psychological theories of concepts. (shrink)

Perception is a first-person internal sensation induced within the nervous system at the time of arrival of sensory stimuli from objects in the environment. Lack of access to the first-person properties has limited viewing perception as an emergent property and it is currently being studied using third-person observed findings from various levels. One feasible approach to understand its mechanism is to build a hypothesis for the specific conditions and required circuit features of the nodal points where the mechanistic operation of (...) perception take place for one type of sensation in one species and to verify it for the presence of comparable circuit properties for perceiving a different sensation in a different species. The present work explains visual perception in mammalian nervous system from a first-person frame of reference and provides explanations for the homogeneity of perception of visual stimuli above flicker fusion frequency, the perception of objects at locations different from their actual position, the smooth pursuit and saccadic eye movements, the perception of object borders, and perception of pressure phosphenes. Using results from temporal resolution studies and the known details of visual cortical circuitry, explanations are provided for (a) the perception of rapidly changing visual stimuli, (b) how the perception of objects occurs in the correct orientation even though, according to the third-person view, activity from the visual stimulus reaches the cortices in an inverted manner and (c) the functional significance of well-conserved columnar organization of the visual cortex. A comparable circuitry detected in a different nervous system in a remote species-the olfactory circuitry of the fruit fly Drosophila melanogaster-provides an opportunity to explore circuit functions using genetic manipulations, which, along with high-resolution microscopic techniques and lipid membrane interaction studies, will be able to verify the structure-function details of the presented mechanism of perception. (shrink)

he mystery of consciousness is among the most important questions pondered upon, not only in philosophy but also in the cognitive science, psychology, neurobiology and other sciences. The problem of consciousness has been traditionally dealt by philosophy, but its importance in explaining mental phenomena has made it a subject matter for other sciences that emerged later. Each philosopher and scientist has followed his own method in defining it, and arriving at a universal agreement on its definition has become difficult. In (...) philosophy, ‘consciousness’ does not have a definition in terms of genus and differentia, or the necessary and sufficient conditions. On the one hand, idealists put all their efforts into explaining consciousness as a separate entity, without stepping away from their traditional path, because they believe that thinking, experience, and free will are not the properties of the physical entity. On the other hand, the scientific world puts its efforts into reducing consciousness to electrical and neurochemical processes of the brain because they believes that the brain works like a biologically programmed computer. Our approach to consciousness varies between these two explanations. We would like to address the problem of consciousness at two levels: cosmic and individual. The basic thesis of this paper is: everything that we know is something that we experience and everything that we experience is a form arising within consciousness. (shrink)

What exactly does an android experience? Could an android have experiences as rich as humans, or are there limits? The Westworld T V series (Jonathan Noland, 2016- ) offers the opportunity to explore philosophical questions related to human and android experiences through its depiction of a fictional Wild West theme park with androids playing the main characters. Among the most fascinating scenes in the Westworld TV series are the interviews between the android characters Bernard Lowe and Dolores Abernathy. These interviews (...) occur in a windowless room and appear to portray Dolores at different stages of her development, though what comprises this development is not revealed to the viewer. It’s probably a good guess that Dolores’ development consists in software upgrades as well as her own learning episodes—her own learning history. There are a host of interesting questions that could be raised about the meetings between Bernard and Dolores, about her software updates and her learning history, but there are particular, philosophical questions about what Dolores experiences that I would like to focus on in this essay. These questions have to do with possible limits to her experience, and whether these limits correspond to limits we—intuitively, at least—apply to human beings. (shrink)

Building on earlier papers on the same theme, Chalmers argues here for a dualism which is epiphenomenalist, yet naturalistic. After establishing the elements of his position, Chalmers explores numerous applications, including arguments against missing and inverted qualia; the congeniality of his view to panpsychism, functionalism, and artificial intelligence, and even the proper interpretation of quantum physics.

This chapter focuses on the long‐term implications of exotic activities that can be experienced through Qualia Surfing: how they might seep into every nook and cranny of our culture, redefining what it means to be human. It produces a quick survey of different types and degrees of qualia surfing. Today, even the most utopian visions of the future contain a worm at their heart: the inevitable decline of humanity into a state of boredom and stagnation. The chapter discusses (...) the subject of abstract qualia because there are changes that could be made to uploaded brain that would give sensations of newness over and above simple sensory qualia. The most complete form of qualia surfing would involve a visit to a domain – a place where a group of people go to create some way of life or historical epoch, but with constraint that outside memories are checked at the door. (shrink)