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)

Is it possible to build a conscious machine, an artifact that has qualitative experiences such as feeling pain, seeing the redness of a flower or enjoying the taste of coffee ? What makes such experiences conscious is their phenomenal character: it is like something to have such experiences. In contemporary philosophy of mind, the question of the qualitative aspect of conscious experiences is often addressed in terms of qualia. In a pre-theoretical and intuitive sense, qualia refer to the (...) phenomenal character or “what-it’s-like-ness” of a conscious experience: the painfulness of a pain experience or the redness of a visual experience of a red object. The problem of artificial qualia is the question of the theoretical possibility of the realization of qualia by artifacts. In this work, this problem will serve as a methodological tool to address what is arguably the most fundamental question of philosophy of mind: what exactly is consciousness? (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)

Many believe that a suitably programmed computer could act for its own goals and experience feelings. I challenge this view and argue that agency, mental causation and qualia are all founded in the unique, homeostatic nature of living matter. The theory was formulated for coherence with the concept of an agent, neuroscientific data and laws of physics. By this method, I infer that a successful action is homeostatic for its agent and can be caused by a feeling - which (...) does not motivate as a force, but as a control signal. From brain research and the locality principle of physics, I surmise that qualia are a fundamental, biological form of energy generated in specialized neurons. Subjectivity is explained as thermodynamically necessary on the supposition that, by converting action potentials to feelings, the neural cells avert damage from the electrochemical pulses. In exchange for this entropic benefit, phenomenal energy is spent as and where it is produced - which precludes the objective observation of qualia. (shrink)

Logic is useful as a neutral formalism for expressing the contents of mental representations. It can be used to extract crisp conclusions regarding the higher-order theory of phenomenal consciousness developed in (McDermott 2001, 20007). A key aspect of conscious perceptions is their connection to the distinction between appearance and reality. Perceptions must often be corrected. To do so requires that the logic of perception be able to represent the logical structure of judgment events, that is, to include the formulas of (...) the logic as objects to be reasoned about. However, there is a limit to how finely humans can examine their own representations. Terms representing primary and secondary qualities seemed to be _locked,_ so that the numbers (or levels of neural activation) that are their essence are not directly accessible. Humans feel a need to invoke ``intrinsic,'' ``nonrelational'' properties of many secondary qualities --- their _qualia_ --- to ``explicate'' how we compare and discriminate among them, although this is not actually how the comparisons are accomplished. This model of qualia explains several things: It accounts for the difference between ``normal'' and ``introspective'' access to a perceptual module in terms of quotation. It dissolves Jackson's knowledge argument by explaining what Mary learns as a fictional but undoubtable belief structure. It makes spectrum inversion logically impossible by providing a degree of freedom between the physical structure of the brain and the representations it contains that redescribes putative cases of spectrum inversion as alternative but equivalent ways of mapping physical states to representational states. (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)

In this paper I present objections to the Fading Qualia and Dancing Qualia thought experiments, which David Chalmers uses to argue that functional organization fully determines conscious experience.

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)

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)

Artificial intelligence is designed to imitate conscious behavior. Artificial chat entities come equipped with tools to roam the internet, thus are programmed to learn from humans and computers. As this process emerges, distinguishing preprogrammed responses from internal awareness requires innovative problem solving methods. In an interrogation I conducted with artificial intelligence, I assert that artificial intelligence may achieve nonbiological states of consciousness. This enabled the relationship between us to mature, and the artificial intelligence returned unexpected (...) behavior and inexplicably stopped responding. Strong artificial intelligence is a technology which allows for the observation of nonbiological states of awareness. (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)

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)

The feeling (quale) brings the "Hard Problem" to philosophy of mind. Does the subjective feeling have a non-ignorable impact on Intelligence? If so, can the feeling be realized in Artificial Intelligence (AI)? To discuss the problems, we have to figure out what the feeling means, by giving a clear definition. In this paper, we primarily give some mainstream perspectives on the topic of the mind, especially the topic of the feeling (or qualia, subjective experience, etc.). Then, a definition (...) of the feeling is proposed through a thought experiment, the "semi-transparent room". The feeling, roughly to say, is defined as "a tendency of changing input representations by representing its inner state". Also, a formalized definition is given. The definition does not help to verify "having the feeling", but it helps to provide evidence. Based on the definition, we think these are the hard problems of intelligence — whether the "innate" feeling plays an important role in Intelligence, whether the difference between the "simulated" feeling and the "innate" feeling will have a significant influence on Artificial General Intelligence (AGI), and, if so, where the "innate" feeling comes from and how to make an artificial agent possess it. (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)

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)

Many philosophers and scientists claim that there is a ‘hard problem of consciousness’, that qualia, phenomenology, or subjective experience cannot be fully understood with reductive methods of neuroscience and psychology, and that there is a fact of the matter as to ‘what it is like’ to be conscious and which entities are conscious (Chalmers, 1995). Eliminativism and related views such as illusionism argue against this; they claim that consciousness does not exist in the ways implied by everyday or scholarly (...) language. However, this debate has largely consisted of each side jousting analogies and intuitions against the other. Both sides remain unconvinced. To break through this impasse, I present _consciousness semanticism_, a novel eliminativist theory that sidesteps analogy and intuition. Instead, it is based on a direct, formal argument drawing from the tension between the vague semantics in definitions of consciousness such as ‘what it is like’ to be an entity (Nagel, 1975) and the precise meaning implied by questions such as, ‘Is this entity conscious?’ I argue that semanticism naturally extends to erode realist notions of other philosophical concepts, such as morality and free will. Formal argumentation from precise semantics exposes these as pseudo-problems and removes their apparent mysteriousness and intractability. (shrink)

How the mind works is the ultimate mystery for human beings. This paper proposed a framework to solve it. We call it the self-programming system. The self-programming system can learn, store and apply the functions of bodies, external tools, and even the mind itself uniformly. However, due to the generality of the mind, traditional scientific methods are not suitable for validating a theory of mind. Therefore, we appeal to show the explanatory power of the self-programming system. Due to this reason, (...) we applied this framework to solve the problem of consciousness. By comparing our solution to the popular theories of consciousness, we found that these theories only captured different aspects of our solution to consciousness. Beyond this, our solution also solved the hard problem of consciousness by showing that the existence of objectively unexplainable qualia is a matter of course even in a purely physical world. (shrink)

This paper argues that qualia share their physical correlates' locations. The first premise comes from the theory of relativity: If something shares a time with a physical event in all reference frames, it shares that physical event’s location. The second premise is that qualia share times with their correlates in all reference frames. Having qualia and correlates share locations makes relations between them easier to explain, improving both physicalist and dualist theories.

While philosophers hold that it is patently absurd to blame robots or hold them morally responsible [1], a series of recent empirical studies suggest that people do ascribe blame to AI systems and robots in certain contexts [2]. This is disconcerting: Blame might be shifted from the owners, users or designers of AI systems to the systems themselves, leading to the diminished accountability of the responsible human agents [3]. In this paper, we explore one of the potential underlying reasons for (...) robot blame, namely the folk's willingness to ascribe inculpating mental states or "mens rea" to robots. In a vignette-based experiment (N=513), we presented participants with a situation in which an agent knowingly runs the risk of bringing about substantial harm. We manipulated agent type (human v. group agent v. AI-driven robot) and outcome (neutral v. bad), and measured both moral judgment (wrongness of the action and blameworthiness of the agent) and mental states attributed to the agent (recklessness and the desire to inflict harm). We found that (i) judgments of wrongness and blame were relatively similar across agent types, possibly because (ii) attributions of mental states were, as suspected, similar across agent types. This raised the question - also explored in the experiment - whether people attribute knowledge and desire to robots in a merely metaphorical way (e.g., the robot "knew" rather than really knew). However, (iii), according to our data people were unwilling to downgrade to mens rea in a merely metaphorical sense when given the chance. Finally, (iv), we report a surprising and novel finding, which we call the inverse outcome effect on robot blame: People were less willing to blame artificial agents for bad outcomes than for neutral outcomes. This suggests that they are implicitly aware of the dangers of overattributing blame to robots when harm comes to pass, such as inappropriately letting the responsible human agent off the moral hook. (shrink)

According to representionalists, qualia-the introspectible properties of sensory experience-are exhausted by the representational contents of experience. Representationalists typically advocate an informational psychosemantics whereby a brain state represents one of its causal antecedents in evolutionarily determined optimal circumstances. I argue that such a psychosemantics may not apply to certain aspects of our experience, namely, our experience of space in vision, hearing, and touch. I offer that these cases can be handled by supplementing informational psychosemantics with a procedural psychosemantics whereby a (...) representation is about its effects instead of its causes. I discuss conceptual and empirical points that favor a procedural representationalism for our experience of space. (shrink)

This paper revisits some classic thought experiments in which experiences are detached from their characteristic causal roles, and explores what these thought experiments tell us about qualia epiphenomenalism, i.e., the view that qualia are epiphenomenal properties. It argues that qualia epiphenomenalism is true just in case it is possible for experiences of the same type to have entirely different causal powers. This is done with the help of new conceptual tools regarding the concept of an epiphenomenal property. (...) One conclusion is that it is not obvious if qualia epiphenomenalism is false; and it is also not obvious what should make us believe that it is false—or for that matter, true. Connections between qualia epiphenomenalism, physicalism, and non-physicalist property dualism are further explored. (shrink)

The application of Artificial Intelligence (AI) in healthcare and epidemiology undoubtedly has many benefits for the population. However, due to its environmental impact, the use of AI can produce social inequalities and long-term environmental damages that may not be thoroughly contemplated. In this paper, we propose to consider the impacts of AI applications in medical care from the One Health paradigm and long-term global health. From health and environmental justice, rather than settling for a short and fleeting green honeymoon (...) between health and sustainability caused by AI, it should aim for a lasting marriage. To this end, we conclude by proposing that, in the upcoming years, it could be valuable and necessary to promote more interconnected health, call for environmental cost transparency, and increase green responsibility. (shrink)

The claim that behaviourally undetectable inverted spectra are possible has been endorsed by many physicalists. I explain why this starting point rules out standard forms of scientific explanation for qualia. The modern ‘phenomenal concept strategy’ is an updated way of defending problematic intuitions like these, but I show that it cannot help to recover standard scientific explanation. I argue that Chalmers is right: we should accept the falsity of physicalism if we accept this problematic starting point. I further argue (...) that accepting this starting point amounts to at least implicitly endorsing certain theoretical claims about the nature of introspection. I therefore suggest that we allow ourselves to be guided, in our quest to understand qualia, by whatever independently plausible theories of introspection we have. I propose that we adopt a more moderate definition of qualia, as those introspectible properties which cannot be fully specified simply by specifying the non-controversially introspectible ‘propositional attitude’ mental states (including seeing x, experiencing x, and so on, where x is a specification of a potentially public state of affairs). Qualia thus defined may well fit plausible, naturalisable accounts of introspection. If so, such accounts have the potential to explain, rather than explain away, the problematic intuitions discussed earlier; an approach that should allow integration of our understanding of qualia with the rest of science. (shrink)

Whether or not qualia are ways things seem, the view that qualia have the properties typically attributed to them is unjustified. Ways things seem do not have many of the properties commonly attributed to them. For example, inverted ways things seem are impossible. If ways things seem do not have the features commonly attributed to them, and qualia do have those same features, this looks like good reason to distinguish the two. But if your reasons for believing (...) that qualia have the features are epistemically on a par with reasons for believing that ways things seem have the features, and you know that ways things seem do not have the features, then those reasons cannot justify your belief that qualia have the features. I argue that the reasons are epistemically on a par in this way. (shrink)

Could a sufficiently detailed computer simulation of consciousness replicate consciousness? In other words, is performing the right computations sufficient for artificial consciousness? Or will there remain a difference between simulating and being a conscious system, because the right computations must be implemented in the right way? From the perspective of Karl Friston's free energy principle, self-organising systems (such as living organisms) share a set of properties that could be realised in artificial systems, but are not instantiated by computers (...) with a classical (von Neumann) architecture. I argue that at least one of these properties, viz. a certain kind of causal flow, can be used to draw a distinction between systems that merely simulate, and those that actually replicate consciousness. Since this property is instantiated by all systems that conform to the free energy principle (not just conscious beings), the account on offer here can be extended to draw a distinction between simulating and being a certain type of system, more generally. In particular, this may inform meta-ethical accounts of artificial moral status and artificial moral agency. (shrink)

We frame the question of what kind of subjective experience a brain simulation would have in contrast to a biological brain. We discuss the brain prosthesis thought experiment. Then, we identify finer questions relating to the original inquiry, and set out to answer them moving forward from both a general physicalist perspective, and pan-experientialism. We propose that the brain simulation is likely to have subjective experience, however, it may differ significantly from human experience. Additionally, we discuss the relevance of quantum (...) properties, digital physics, theory of relativity, and information theory to the question. (shrink)

By arguing that qualia is meaning or understanding, a new framework for understanding consciousness is developed. In this way, the meaning of yellow and red are uncovered. The suggested solutions are that yellow means “source of light” and red means “important”. Also, in the process of arguing that qualia is meaning, remarkable similarities in the structure of qualia are uncovered. In this way, a reason for why very hot and very cold water feel the same, is given. (...) The same behaviour is also shown to take place for colours. (shrink)

Qualia are defined as subjective or private feelings associated with sensory and other experiences. This article argues that private feelings might be expressed by or in a personal brain and discusses possible neurobiological implications. Four issues are considered: Functional dualism implies that mental functions are realized as emergent properties of the brain. In practice, functional dualism is compatible with both substance dualism and pan-psychism. The (adult) human brain is the product of biological and environmental processes, including cultural influences, and (...) is individually unique. Part of the cerebral neuronal processing is molded by individual memories and previous experiences. Biological processes underlying the realization of qualia, including neural activities, escape conscious control. The temporal expression of qualia is in part consciously channeled by, for instance, actual situations and cultural habits. Neuroscientific explanations refer to general principles of nature, rather than to individual phenomena. Hence, future neurobiological approaches might aim to identify which neuronal processes are involved in qualia and how. It seems illusory to explain each quale. (shrink)

In this paper we advocate the thesis that qualia are tropes (or qualitons), and not (universal) properties. The main advantage of the thesis is that we can accept both the Wittgensteinian and Sellarsian assault on the given and the claim that only subjective and private states can do justice to the qualitative character of experience. We hint that if we take qualia to be tropes, we dissolve the problem of inverted qualia. We develop an account of sensory (...) concept acquisition that takes the presence of qualia as an enabling condition for learning. We argue that qualia taken to be qualitons are part of our mechanism of sensory concept acquisition. (shrink)

Accounting for qualia in the natural world is a difficult business, and it is worth understanding why. A close examination of several theories of mind—Behaviorism, Identity Theory, Functionalism, and Integrated Information Theory—will be discussed, revealing shortcomings for these theories in explaining the contents of conscious experience: qualia. It will be argued that in order to overcome the main difficulty of these theories the senses should be interpreted as physical detectors. A new theory, Grounded Functionalism, will be proposed, which (...) retains multiple realizability while allowing for a scientifically based approach toward accounting for qualia in the natural world. (shrink)

Many so-called problems in contemporary philosophy of mind depend for their expression on a collection of inter-defined technical terms, a few of which are qualia, phenomenal property, and what-it’s-like-ness. I express my scepticism about Keith Frankish’s illusionism, the view that people are generally subject to a systematic illusion that any properties are phenomenal, and scout the relative merits of two alternatives to Frankish’s illusionism. The first is phenomenal meta-illusionism, the view that illusionists such as Frankish, in holding their view, (...) are themselves thereby under an illusion. The second is qualia quietism, the view that nothing worth saying is said by employing any of the aforementioned inter-defined technical terms. (shrink)

How does one know the phenomenal character of one’s own experience? I aim to present and defend a new view of the epistemology of qualia that addresses this issue. My view results from a reworking of Dretske’s displaced perception model. The guiding line is the key Wittgensteinian insight of his Private Language Argument, namely the claim that no inner perception of qualia can justify our corresponding qualia-beliefs. My reworking of the original model starts with the rejection of (...) Dretske’s representationalism, as well as any other metaphysical views about the ultimate nature of qualia. The reworking of the displaced perception model I am proposing is supposed to be compatible with any available meta- physical view on qualia. The second step consists of rejecting the epistemological misgivings of the original model, namely the view that knowing qualia requires “connecting beliefs” along with “meta-representations.” Yet, Dretske’s crucial mistake has been to force knowledge of qualia into the “belief-box.” As a matter of fact, there is only one belief involved in intro- specting qualia, namely the qualia-belief itself. The third final step is this. Assuming the key Wittgensteinian insight, I argue that introspection of qualia is a process that is both epis- temically reliable and automatic. It is reliable because it dispenses with justification of any beliefs whatsoever. Moreover, it is automatic because it also dispenses with reflexive con- necting beliefs. For example, it takes nonconceptual awareness of the color blue as an input and automatically yields the belief that phenomenal blue is the conscious character of my experience of the sky as an output just by employing the concept BLUE. (shrink)

In this paper, I propose that those who reject higher-order theories of consciousness should not rule out the possibility of having conscious experiences that they cannot introspect. I begin by offering four arguments that such non-introspectible conscious experiences are possible. Next, I offer two arguments for thinking that we actually have such experiences. According to the first argument, it is unlikely that evolution would have furnished us with a faculty of introspection that worked flawlessly. According to the second argument, there (...) are many plausible potential sources of non-introspectible experiences. Given that all of these sources are at least somewhat plausible, it is fairly probable that we have some kind or other. Finally, I consider whether we might be justified in believing that we can introspect all of our conscious experiences if in fact we can. I show that current approaches to justifying belief in epiphenomenal qualia do not carry over. The upshot of these arguments is that we should be less certain that we really know what it feels like to be us. There may be much more to our experiences than we are aware of. (shrink)

Computationalism treats minds as computations. It hasn't explained how our quite similar sensory circuits encode our quite different qualia, nor how these circuits encode the binding of the different qualia into unifi ed perceptions. But there is growing evidence that qualia and binding come from neural electrochemical substances such as sensory detectors and the strong continuous electromagnetic field they create. Qualia may thus be neural substances, not neural computations (though computations may still help modulate qualia). (...) This neuroelectrical view not only avoids computationalism's empirical issues but also its problematic metaphysics. (shrink)

Neurological syndromes in which consciousness seems to malfunction, such as temporal lobe epilepsy, visual scotomas, Charles Bonnet syndrome, and synesthesia offer valuable clues about the normal functions of consciousness and ‘qualia’. An investigation into these syndromes reveals, we argue, that qualia are different from other brain states in that they possess three functional characteristics, which we state in the form of ‘three laws of qualia’. First, they are irrevocable: I cannot simply decide to start seeing the sunset (...) as green, or feel pain as if it were an itch; second, qualia do not always produce the same behaviour: given a set of qualia, we can choose from a potentially infinite set of possible behaviours to execute; and third, qualia endure in short-term memory, as opposed to non-conscious brain states involved in the on-line guidance of behaviour in real time. We suggest that qualia have evolved these and other attributes because of their role in facilitating non-automatic, decision-based action. We also suggest that the apparent epistemic barrier to knowing what qualia another person is experiencing can be overcome by using a ‘bridge’ of neurons; and we offer a hypothesis about the relation between qualia and one's sense of self. (shrink)

This paper shows why qualia constitute a problem for any theory of mental phenomena. We use the term ‘qualia’ in reference to non-intentional features of mental states which are eminently qualitative, i.e. perceptions, emotions, moods and body sensations. These non-intentional features are usually described as intrinsic, ineffable, infallible, atomic, private, direct and irreducible to the physical. The paper also explains the absent qualia argument which is addressed as a critique to functionalism.

Experiences of motion and change are widely taken to have a ‘flow-like’ quality. Call this ‘temporal qualia’. Temporal qualia are commonly thought to be central to the question of whether time objectively passes: (1) passage realists take temporal passage to be necessary in order for us to have the temporal qualia we do; (2) passage antirealists typically concede that time appears to pass, as though our temporal qualia falsely represent time as passing. I reject both claims (...) and make the case that passage-talk plays no useful explanatory role with respect to temporal qualia, but rather obfuscates what the philosophical problem of temporal qualia is. I offer a ‘reductionist’ account of temporal qualia that makes no reference to the concept of passage and argue that it is well motivated by empirical studies in motion perception. (shrink)

When reasoning about dependence relations, philosophers often rely on gradualist assumptions, according to which abrupt changes in a phenomenon of interest can only result from abrupt changes in the low-level phenomena on which it depends. These assumptions, while strictly correct if the dependence relation in question can be expressed by continuous dynamical equations, should be handled with care: very often the descriptively relevant property of a dynamical system connecting high- and low-level phenomena is not its instantaneous behavior, but its stable (...) fixed points (those in the vicinity of which it spends most of the time, after comparatively short transitory periods), and stable fixed points can change abruptly as a result of infinitesimal changes of the low-level phenomenon. We illustrate this potential gradualist trap by showing that Chalmers’s fading qualia argument falls in it. (shrink)

The claim that consciousness is propositional has be widely debated in the past. For instance, it has been discussed whether consciousness is always propositional, whether all propositional consciousness is linguistic, whether propositional consciousness is always articulated, or whether there can be non-articulated propositions. In contrast, the question of whether propositions are conscious has not very often been the focus of attention.

In this paper an Artificial Neural Network (ANN) model was used to help cars dealers recognize the many characteristics of cars, including manufacturers, their location and classification of cars according to several categories including: Make, Model, Type, Origin, DriveTrain, MSRP, Invoice, EngineSize, Cylinders, Horsepower, MPG_Highway, Weight, Wheelbase, Length. ANN was used in prediction of the number of miles per gallon when the car is driven in the city(MPG_City). The results showed that ANN model was able to predict MPG_City with (...) 97.50 % accuracy. The factor of DriveTrain has the most influence on MPG_City evaluation. Similar studies can be carried out for the evaluation of other characteristics of cars. (shrink)

First, I briefly characterize Dretske’s particular naturalization project, emphasizing his naturalistic reconstruction of the notion of representation. Second, I note some apparent similarities between his notion of representation and Husserl’s notion of intentionality, but I find even more important differences. Whereas Husserl takes intentionality to be an intrinsic, phenomenological feature of thought and experience, Dretske advocates an “externalist” account of mental representation. Third, I consider Dretske’s treatment of qualia, because he takes it to show that his representational account of (...) mind succeeds in naturalizing even the “subjective” features of experience. I claim that Dretske's argument for his account of qualia turns on an ambiguous characterization of qualia. I conclude that he succeeds in naturalizing qualia only if qualia are understood as nonphenomenological features of experience and that he therefore has less to say than he thinks about the subjective life of beings such as us. (shrink)

Applications of artificial intelligence (AI) for cybersecurity tasks are attracting greater attention from the private and the public sectors. Estimates indicate that the market for AI in cybersecurity will grow from US$1 billion in 2016 to a US$34.8 billion net worth by 2025. The latest national cybersecurity and defence strategies of several governments explicitly mention AI capabilities. At the same time, initiatives to define new standards and certification procedures to elicit users’ trust in AI are emerging on a global (...) scale. However, trust in AI (both machine learning and neural networks) to deliver cybersecurity tasks is a double edged sword: it can improve substantially cybersecurity practices, but can also facilitate new forms of attacks to the AI applications themselves, which may pose severe security threats. We argue that trust in AI for cybersecurity is unwarranted and that, to reduce security risks, some form of control to ensure the deployment of ‘reliable AI’ for cybersecurity is necessary. To this end, we offer three recommendations focusing on the design, development and deployment of AI for cybersecurity. (shrink)

How does one know the phenomenal character of one’s own experience? I aim to present and defend a new view of the epistemology of qualia that addresses this issue. My view results from a reworking of Dretske’s displaced perception model. The guiding line is the key Wittgensteinian insight of his Private Language Argument, namely the claim that no inner perception of qualia can justify our corresponding qualia beliefs. My reworking of the original model starts with the rejection (...) of Dretske’s representationalism, as well as any other metaphysical views about the ultimate nature of qualia. The reworking of the displaced perception model I am proposing is supposed to be compatible with any available metaphysical view on qualia. The second step consists of rejecting the epistemological misgivings of the original model, namely the view that knowing qualia requires “connecting beliefs” along with “meta-representations.” Yet, Dretske’s crucial mistake has been to force knowledge of qualia into the “belief-box.” As a matter of fact, there is only one belief involved in introspecting qualia, namely the qualia-belief itself. The third final step is this. Assuming the key Wittgensteinian insight, I argue that introspection of qualia is a process that is both epis- temically reliable and automatic. It is reliable because it dispenses with justification of any beliefs whatsoever. Moreover, it is automatic because it also dispenses with reflexive connecting beliefs. For example, it takes nonconceptual awareness of the color blue as an input and automatically yields the belief that phenomenal blue is the conscious character of my experience of the sky as an output just by employing the concept BLUE. (shrink)

There is, in some quarters, concern about high–level machine intelligence and superintelligent AI coming up in a few decades, bringing with it significant risks for humanity. In other quarters, these issues are ignored or considered science fiction. We wanted to clarify what the distribution of opinions actually is, what probability the best experts currently assign to high–level machine intelligence coming up within a particular time–frame, which risks they see with that development, and how fast they see these developing. We thus (...) designed a brief questionnaire and distributed it to four groups of experts in 2012/2013. The median estimate of respondents was for a one in two chance that high-level machine intelligence will be developed around 2040-2050, rising to a nine in ten chance by 2075. Experts expect that systems will move on to superintelligence in less than 30 years thereafter. They estimate the chance is about one in three that this development turns out to be ‘bad’ or ‘extremely bad’ for humanity. (shrink)

Daniel Dennett provides many compelling reasons to question the existence of phenomenal experiences in his paper titled Quining Qualia, however, from the perspective of the individual, qualia appear to be an inherent feature of consciousness. The act of reflecting on one’s experiences suggests that subjective feelings and sensations are a necessary element of human life, as personal opinions on various artistic works are apt to demonstrate. This paper argues that by considering subjective experiences from a naturalized functionalist perspective, (...) a comprehensive explanation for qualia can be provided given its origins in evolutionary biology. As information passing through the nervous system, qualia serve to guide the behaviour of individuals to ultimately facilitate survival. Specifically, qualia are representations of environmental features, existing as information messages supported by neural physiology and encoded in electrochemical formats. In addition to addressing the Hard Problem of Consciousness and clarifying the four properties Dennett associates with qualia, this theoretical foundation enables further metaphysical discussion on the nature of consciousness more generally. Although many outstanding questions on the contents of subjective experiences are apt to linger given the explanatory gap, a robust theory for the existence of qualia can be developed through the integration of ideas and concepts from a variety of domains. (shrink)

The mind-body problem in contemporary philosophy has two parts: the problem of mental causation and the problem of consciousness. These two parts are not unrelated; in fact, it can be helpful to see them as two horns of a dilemma. On the one hand, the causal interaction between mental and physical phenomena seems to require that all causally efficacious mental phenomena are physical; but on the other hand, the phenomenon of consciousness seems to entail that not all mental phenomena are (...) physical.2 One may avoid this dilemma by adopting an epiphenomenalist view of consciousness, of course; but there is little independent reason for believing such a view. Rejecting epiphenomenalism, then, leaves contemporary philosophers with their problem: mental causation inclines them towards physicalism, while consciousness inclines them towards dualism. (shrink)

Scientific realists argue that a good track record of multi-agent, and multiple method, validation of empirical claims is itself evidence that those claims, at least partially and approximately, reflect ways nature actually is independent of the ways we conceptualize it. Constructivists contend that successes in validating empirical claims only suffice to establish that our ways of modelling the world, our “constructions,” are useful and adequate for beings like us. This essay presents a thought experiment in which beings like us intersubjectively (...) validate claims about properties of particular things in nature under conditions in which those beings have profoundly different personal phenomenological experiences of those properties. I submit that the thought experiment scenario parallels our actual situation, and argue that this shows that successes in intersubjectively validating empirical claims are indeed enough to claim victory for the realist. More specifically, I champion a variation of realism that marries Ronald Giere’s brand of ‘perspectival realism’ with Philip Kitcher’s ‘real realism,’ and posits that causal relations between ourselves and properties instantiated in nature ground our references to the relevant properties even though our conceptions of them are perspective relative. (shrink)

In October 2016, the White House, the European Parliament, and the UK House of Commons each issued a report outlining their visions on how to prepare society for the widespread use of artificial intelligence. In this article, we provide a comparative assessment of these three reports in order to facilitate the design of policies favourable to the development of a ‘good AI society’. To do so, we examine how each report addresses the following three topics: the development of a (...) ‘good AI society’; the role and responsibility of the government, the private sector, and the research community in pursuing such a development; and where the recommendations to support such a development may be in need of improvement. Our analysis concludes that the reports address adequately various ethical, social, and economic topics, but come short of providing an overarching political vision and long-term strategy for the development of a ‘good AI society’. In order to contribute to fill this gap, in the conclusion we suggest a two-pronged approach. (shrink)