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10972.927205
- Grant Sanderson, of 3blue1brown, has put up a phenomenal YouTube video explaining Grover’s algorithm, and dispelling the fundamental misconception about quantum computing, that QC works simply by “trying all the possibilities in parallel.” Let me not futz around: this video explains, in 36 minutes, what I’ve tried to explain over and over on this blog for 20 years … and it does it better. …
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67369.927548
Hyperscanning has been increasingly used to quantify the quality of social relationships by tracking the neural correlates of interpersonal interactions.This paper critically examines the use of hyperscanning to track the neural correlates of psychotherapeutic change, e.g., the patient-therapist relationship. First, we motivate our project by diagnosing a lack of complex models at the mesoscale in this domain and, consequently, a polarization of the analysis at the micro and macroscales. Looking for the causes of this issue, we highlight the epistemic blindspots of current methodologies that prioritize neural synchrony as a marker of therapeutic success. Drawing on empirical studies and theoretical frameworks, we identify an asymmetry between the neural and behavioral conceptual toolkits, with the latter remaining underdeveloped. We argue that this imbalance stems from two key issues: the underdetermined qualitative interpretation of brain data and the neglect of strong reciprocity in neuroscientific second-person paradigms. In light of our critical analysis, we suggest that further research could address the complexity of reciprocal, dynamic interactions in therapeutic contexts. Specifically, drawing on enactivism, we highlight that the autonomy of interactions is one of the factors that undermines the synchrony paradigm. This approach emphasizes the co-construction of meaning and shared experiences through embodied, reciprocal interactions, offering a more integrative understanding of therapeutic change that moves beyond static neural measures to account for the emergent and dynamic nature of social cognition.
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67448.92757
A number of authors (Morgan, 1999; Boumans, 2005; Morrison, 2009; Massimi and Bhimji, 2015; Parker, 2017) have argued that models can be quite literally thought of as measuring instruments. I here challenge this view by reconstructing three arguments from the literature and rebutting them. Further, I argue that models should be seen as cognitive rather than measuring instruments, and that the distinction is important for understanding scientific change: Both yield two distinct sources of insight that mutually depend on each other, and should not be equated. In particular, we may perform the exact same actions in the laboratory but conceive of them entirely differently by virtue of the models we endorse at different points in time.
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198479.927582
This paper proposes a theory-neutral formal framework designed to accommodate data that implicates consciousness in anomalous observer-linked phenomena, including structured accounts sometimes interpreted as involving alleged non-human intelligence. Motivated by growing empirical reports in which observer phenomenology appears coupled to system behavior, the paper introduces an explanatory workspace that expands the standard quantum state space to include a phenomenal dimension.
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371683.927593
Novel tools have allowed researchers to intervene into circuits at the mesoscale. The results of these interventions are often explained by appeal to functions. How are functions ascribed to circuit parts experimentally? I identify two kinds of function ascription practices in circuit interventions. Analysis of these practices shows us that function ascriptions are challenging due to a lack of interventive control and insufficient constraints on the class of candidate functions to discriminate in practice. One kind of function ascription practice— subtractive analysis—fares better at addressing these challenges.
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484627.927604
It has been argued that adult humans are absolutely time biased towards the future, at least as far as purely hedonic experiences (pain/pleasure) are concerned. What this means is that they assign zero value to them once they are in the past. Recent empirical studies have cast doubt on this claim, suggesting that while adults hold asymmetrical hedonic preferences – preferring painful experiences to be in the past and pleasurable experiences to lie in the future – these preferences are not absolute and are often abandoned when the quantity of pain or pleasure under consideration is greater in the past than in the future. Research has also examined whether such preferences might be affected by the utility people assign to experiential memories, since the recollection of past events can itself be pleasurable or aversive. We extend this line of research, investigating the utility people assign to experiential memories regardless of tense, and provide – to our knowledge – the first quantitative attempt at directly comparing the relative subjective weightings given to ‘primary’ experiences (i.e., living through the event first-hand) and ‘secondary’ (i.e., recollective or anticipatory) experiences. We find that when painful events are located in the past, the importance of the memory of the pain appears to be enhanced relative to its importance when they are located in the future. We also find extensive individual differences in hedonic preferences, reasons to adopt them, and willingness to trade them off. This research allows for a clearer picture of the utility people assign to the consumption of recollective experiences and of how this contributes to, or perhaps masks, time biases.
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487097.927614
This chapter addresses the development of tests for consciousness (C-tests), defined as any protocol or methodology devised to detect specific properties that, if present, would justify higher credence in the belief that the system under test is phenomenally conscious. Though inherently defeasible, C-tests are vital for reducing epistemic uncertainty, balancing ethical and practical considerations regarding the attribution of consciousness to systems like patients with disorders of consciousness, non-human animals, and artificial systems. In this chapter, we first present a taxonomy of current available C-tests, describing how they rely on specific neural and/or psychological properties to reduce uncertainty about the presence of consciousness in various target systems. Second, we clarify the notion of phenomenal consciousness as the target of C-tests, delineating the limits of C- tests in being able to capture it. Third, we address the question of whether a well-established theory of consciousness and/or pre-theoretical intuitions are necessary for validation of C-tests. Fourth, we evaluate several inferential strategies to justify extrapolations of consciousness from consensus to non-consensus cases. Finally, we conclude by describing the iterative natural kind approach as a multidimensional method that integrates multiple tests with weighted evidence. This model would provide probabilistic assessments of consciousness across different populations, offering a more reliable framework for addressing non-consensus cases and providing a valuable aid for practical decision-making.
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544869.92764
This paper critically examines Ian Hacking’s account of looping effects and human kinds, focusing on three related arguments defended by Hacking: (1) the looping effects of human science classifications render their objects of classification inherently unstable, (2) looping effects preclude the possibility of generating stable projectable inferences (i.e., reliable predictions) based on human kind terms, and (3) looping effects can demarcate human science classifications from natural science classifications. Contra-Hacking, I argue that: (1) some objects of human science classifications (viz., biological kinds) remain stable despite the feedback generated by their classifications, (2), human science classifications that individuate biological kinds yield stable projectable inferences, and (3) looping effects are a problematic criterion for distinguishing human science classifications from natural science classifications.
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640465.927657
The paper argues for a non-disjunctivist account of reference in episodic memory. Our account provides a uniform theory of reference for episodic memories that root in veridical and non-veridical experiences. It is independent from the particular mechanisms that subserve the respective source experiences. We reject both relationalist and intentionalist analyses of memory and build our approach on Werning and Liefke’s theory of referential parasitism and Werning’s theory of trace minimalism. The motivation for our non-disjunctivist account is the assumption that perceptual and non-perceptual memories with an episodic character share a uniform underlying causal mechanism and thus make up one and the same natural kind.
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708837.927668
Visual illusions provide a means of investigating the rules and principles through which approximate number representations are formed. Here, we investigated the developmental trajectory of an important numerical illusion – the connectedness illusion, wherein connecting pairs of items with thin lines reduces perceived number without altering continuous attributes of the collections. We found that children as young as 5 years of age showed susceptibility to the illusion and that the magnitude of the effect increased into adulthood. Moreover, individuals with greater numerical acuity exhibited stronger connectedness illusions after controlling for age. Overall, these results suggest the approximate number system expects to enumerate over bounded wholes and doing so is a signature of its optimal functioning.
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1410110.92768
Bell’s theorem states that no model that respects Local Causality and Statistical Independence can account for the correlations predicted by quantum mechanics via entangled states. This paper proposes a new approach, using backward-in-time conditional probabilities, which relaxes conventional assumptions of temporal ordering while preserving Statistical Independence as a “fine-tuning” condition. It is shown how such models can account for EPR/Bell correlations and, analogously, the GHZ predictions while nevertheless forbidding superluminal signalling.
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1459508.927692
The View from Everywhere is now available for those with an Oxford Scholarship Online subscription; hardcopies ship next month (but you can preorder now). I’ll probably write more about it as the print publication date approaches. …
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1558787.927702
An adequate theory of representation should distinguish between the structure of a representation and the structure of what it represents. I argue that the simplest sorts of transformers (the architecture that underlies most familiar Large Language Models) have only a very lightweight structure for their representations: insofar as they work with the structure of language, they represent it but do not use it. In addition to being interesting in its own right, this also shows how we may use high-level invariants at the computational level to place constraints on representational formats at the algorithmic level.
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1698371.927711
I argue that the thoroughly algorithmic nature of current AI systems (such as LLMs) is no obstacle to their being conscious. To this end, I present a picture on which current AI systems comprise dispositional properties which realize categorical phenomenal properties where the laKer, in turn, provide the identity conditions for their dispositional realizers. This mutual ontological dependence, or, symmetrical grounding, at the heart of the proposal yields a novel picture of (AI) consciousness that avoids epiphenomenalism and is more permissive regarding the specific nature/functional organization of conscious systems than has been previously suggested. This, in turn, suggests an epistemology of AI consciousness focused on investigating the high-level behaviours of AI systems rather than their low-level functional organization.
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2028762.927723
With the stock market crash and the big protests across the US, I’m finally feeling a trace of optimism that Trump’s stranglehold on the nation will weaken. Just a trace. I still need to self-medicate to keep from sinking into depression — where ‘self-medicate’, in my case, means studying fun math and physics I don’t need to know. …
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2044427.927733
Pseudo-consciousness bridges the gap between rigid, task-driven AI and the elusive dream of true artificial general intelligence (AGI). While modern AI excels in pattern recognition, strategic reasoning, and multimodal integration, it remains fundamentally devoid of subjective experience. Yet, emerging architectures are displaying behaviors that look intentional—adapting, self-monitoring, and making complex decisions in ways that mimic conscious cognition. If these systems can integrate information globally, reflect on their own processes, and operate with apparent goal-directed behavior, do they qualify as functionally conscious? This paper introduces pseudo-consciousness as a new conceptual category, distinct from both narrow AI and AGI. It presents a five-condition framework that defines AI capable of consciousness-like functionality without true sentience. By drawing on insights from computational theory of mind, functionalism, and neuroscientific models—such as Global Workspace Theory and Recurrent Processing Theory—we argue that intelligence and experience can be decoupled. The implications are profound. As AI systems become more autonomous and embedded in critical domains like healthcare, governance, and warfare, their ability to simulate awareness raises urgent ethical and regulatory concerns. Could a pseudo-conscious AI be trusted? Would it manipulate human perception? How do we prevent society from anthropomorphizing machines that only imitate cognition? By redefining the boundaries of intelligence and agency, this study lays the foundation for evaluating, designing, and governing AI that seems aware—without ever truly being so.
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2047646.927745
This paper argues against the view, proposed in Langland-Hassan (2020), that attitudinal imaginings are reducible to basic folk-psychological attitudes such as judgments, beliefs, desires, decisions, or combinations thereof. The proposed reduction fails because attitudinal imaginings, though similar to basic attitudes in certain respects, function differently than basic attitudes. I demonstrate this by exploring two types of cases: spontaneous imaginings, and imaginings that arise in response to fiction, showing that in these cases, imaginings cannot be identified with basic attitudes. I conclude that imagining is a distinct attitude: it enables us to freely conjure up scenarios without being bound by the restrictions that govern basic folk-psychological attitudes.
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2047662.927755
According to the desire-satisfaction theory of welfare, something is good for me to the extent that I desire it. This theory faces the “scope problem”: many of the things I desire, intuitively, lie beyond the scope of my welfare. Here, I argue that a simple solution to this problem is available. First, I suggest that it is a general feature of desires that they can differ not only in their objects but also in their “targets,” or for the sake of whom one has the desire. For example, I can desire that my child win an award either for their sake or for my own sake. Second, I show that we can use this idea to solve the scope problem by holding that something is good for me to the extent that I desire it for my own sake. Despite first appearances, this solution is not ad hoc, incomplete, or circular.
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2047739.927765
Inphilosophyofscience,constitutive explanation shave attracted much attention sinceCraver’sinfluentialbookExplaining the Brain(2007).HisMutualManipulability(MM)theory of constitution aimed to explicate constitution as anon-causal explanatory relation and to demarcate between constituent sand non-constituents. But MM received decisive criticism.Inresponse,Craveretal.(2021)haverecently proposedanewtheory,called Matched Inter level Experiments(MIE),whichis currently gaining traction in various fields. The authors claim that MIE retains “the spirit of MM without conceptual confusion.”Our paper argues that this claim isnotborneout:neitherdoesMIEmeetMM’sob jectivesnorisit free of conceptual confusion.Atthesametime,we show that it is possible to meet MM’sobjectivesin aconceptuallysoundmanner—byadoptingtheso-calledNoDe-Couplingtheory ofconstitution.
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2047766.927775
LOGOS Research Group in Analytic Philosophy, Universitat Autònoma de Barcelona Perception is said to have assertoric force: It inclines the perceiver to believe its content. In contrast, perceptual imagination is commonly taken to be non-assertoric: Imagining winning a piano contest does not incline the imaginer to believe they actually won. However, abundant evidence from clinical and experimental psychology shows that imagination influences attitudes and behavior in ways similar to perceptual experiences. To account for these phenomena, I propose that perceptual imaginings have implicit assertoric force and put forth a theory—the Prima Facie View—as a unified explanation for the empirical findings reviewed. According to this view, mental images are treated as percepts in operations involving associative memory. Finally, I address alternative explanations that could account for the reviewed empirical evidence—such as a Spinozian model of belief formation or Gendler’s notion of alief—as well as potential objections to the Prima Facie View.
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2047808.927784
Detecting introspective errors about consciousness presents challenges that are widely supposed to be difficult, if not impossible, to overcome. This is a problem for consciousness science because many central questions turn on when and to what extent we should trust subjects’ introspective reports. This has led some authors to suggest that we should abandon introspection as a source of evidence when constructing a science of consciousness. Others have concluded that central questions in consciousness science cannot be answered via empirical investigation. I argue that on closer inspection, the challenges associated with detecting introspective errors can be overcome. I demonstrate how natural kind reasoning—the iterative application of inference to the best explanation to home in on and leverage regularities in nature—can allow us to detect introspective errors even in difficult cases such as judgments about mental imagery, and I conclude that worries about intractable methodological challenges in consciousness science are misguided.
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2151095.927794
Philosophers have struggled to explain the mismatch of emotions and their objects across time, as when we stop grieving or feeling angry despite the persistence of the underlying cause. I argue for a sceptical approach that says that these emotional changes often lack rational fit. The key observation is that our emotions must periodically reset for purely functional reasons that have nothing to do with fit. I compare this account to David Hume’s sceptical approach in matters of belief, and conclude that resistance to it rests on a confusion similar to one that he identifies.
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2275036.927807
This paper explores the implications of the Extended Mind Hypothesis (ExM), as introduced by Andy Clark and David Chalmers in 1998. Focusing on cognitive integration and the Trust and Glue criteria, we have two objectives. First, we examine how ExM reshapes perspectives on human-AI interaction, particularly by challenging the Standard model of AI. We argue that AI, as an active non-organic agent, significantly influences cognitive processes beyond initial expectations. Secondly, we propose the maintainability as a fourth criterion in the Trust and Glue criteria of ExM, in addition to trustworthiness, reliability and accessibility.
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2362033.92783
How is it that individuals who deny experiencing visual imagery nonetheless perform normally on tasks which seem to require it? This puzzle of aphantasia has perplexed philosophers and scientists since the late nineteenth century. Contemporary responses include: (i) idiosyncratic reporting, (ii) faulty introspection, (iii) unconscious imagery, and (iv) complete lack of imagery combined with the use of alternative strategies. None offers a satisfying explanation of the full range of first-person, behavioural and physiological data. Here, I diagnose the puzzle of aphantasia as arising from the mistaken assumption that variation in imagery is well-captured by a single ‘vividness’ scale. Breaking with this assumption, I defend an alternative account which elegantly accommodates all the data. Crucial to this account is a fundamental distinction between visual-object and spatial imagery. Armed with this distinction, I argue that subjective reports and objective measures only testify to the absence of visual-object imagery, whereas imagery task performance is explained by preserved spatial imagery which goes unreported on standard ‘vividness’ questionnaires. More generally, I propose that aphantasia be thought of on analogy with agnosia, as a generic label for a range of imagery deficits with corresponding sparing.
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2448076.927842
Large Language Models (LLMs) increasingly produce outputs that resemble introspection, including self-reference, epistemic modulation, and claims about internal states. This study investigates whether such behaviors display consistent patterns across repeated prompts or reflect surface-level generative artifacts. We evaluated five open-weight, stateless LLMs using a structured battery of 21 introspective prompts, each repeated ten times, yielding 1,050 completions. These outputs are analyzed across three behavioral dimensions: surface-level similarity (via token overlap), semantic coherence (via sentence embeddings), and inferential consistency (via natural language inference). Although some models demonstrate localized thematic stability—especially in identity - and consciousness-related prompts—none sustain diachronic coherence.
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2563477.927853
The (dis)continuism debate in the philosophy of memory revolves around the question of whether memory and imagination belong to the same natural kind. Continuism, on the one hand, defends that they belong to the same natural kind. Discontinuism, on the other hand, defends that they do not belong to the same natural kind. By adopting a minimal notion of natural kind, one can recognize that there are different legitimate ways of sorting kinds, which lead to different positions in the debate. In this paper, I interpret continuism as a mechanistic thesis, according to which memory and imagination belong to the same natural kind because they are underpinned by the same constitutive mechanism. I clarify the implications of this thesis and show that most of the discontinuist attacks on continuism do not constitute a challenge to the mechanistic thesis. I also present a possible challenge to mechanistic continuism. This suggests that there may be multiple (dis)continuism debates. Keywords: Continuism. Discontinuism. Natural kinds. Mechanism. Episodic Memory. Episodic Imagination.
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2621152.927866
Theories of consciousness are abundant, yet few directly address the structural conditions necessary for subjectivity itself. This paper defends and develops the QBist constraint: the proposal that any conscious system must implement a first-person, self-updating inferential architecture. Inspired by Quantum Bayesianism (QBism), this constraint specifies that subjectivity arises only in systems capable of self-referential probabilistic updating from an internal perspective. The QBist constraint is not offered as a process theory, but as a metatheoretical adequacy condition: a structural requirement which candidate theories of consciousness must satisfy if they are to explain not merely behaviour or information processing, but genuine subjectivity. I assess five influential frameworks — the Free Energy Principle (FEP), Predictive Processing (PP), Integrated Information Theory (IIT), Global Workspace Theory (GWT), and Higher-Order Thought (HOT) theory — and consider how each fares when interpreted through the lens of this constraint. I argue that the QBist constraint functions as a litmus test for process theories, forcing a shift in focus: from explaining cognitive capacities to specifying how an architecture might realize first-personal belief updating as a structural feature.
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2868700.927876
Sunwin chính chủ sở hữu bộ core game cùng hệ thống chăm sóc khách hàng vô địch. Sunwin hiện nay giả mạo rất nhiều anh em chú ý check kĩ uy tín đường link để đảm bảo an toàn và trải nghiệm game đỉnh cao duy nhất. …
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2868700.927886
Sunwin chính chủ sở hữu bộ core game cùng hệ thống chăm sóc khách hàng vô địch. Sunwin hiện nay giả mạo rất nhiều anh em chú ý check kĩ uy tín đường link để đảm bảo an toàn và trải nghiệm game đỉnh cao duy nhất. …
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2909510.927896
Philosophers of mind and philosophers of science have markedly different views on the relationship between explanation and understanding. Reflecting on these differences highlights two ways in which explaining consciousness might be uniquely difficult. First, scientific theories may fail to provide a psychologically satisfying sense of understanding—consciousness might still seem mysterious even after we develop a scientific theory of it. Second, our limited epistemic access to consciousness may make it difficult to adjudicate between competing theories. Of course, both challenges may apply. While the first has received extensive philosophical attention, in this paper I aim to draw greater attention to the second. In consciousness science, the two standard methods for advancing understanding—theory testing and refining measurement procedures through epistemic iteration—face serious challenges.