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Virtual Time and Execution of Algorithms in Static Networks
Get PDFA concept for the emergence of a time-equivalent property from a static network of
interconnected states is shown. This property is referred to as virtual time. For each state, a set
of coefficients is defined, which locally represents the information embedded in the network’s
connectivity. Network structures denoted as repellers feature successive splits into a steadily
increasing number of quantum states. They convey an equivalent calculation of their static
connectivity coefficients and virtual particles dynamically propagating within them. Strong
indications are provided, that static networks are virtual Turing complete machines for
algorithms with finite runtime. This opens up a wide range of possible encodings for said
coefficients and motivates further research
Temporal Nonlocality from Indefinite Causal Orders
Get PDFA temporal counterpart to Bell nonlocality would intuitively refer to the presence of non-classical correlations between timelike-separated events. The hypothesis of temporal nonlocality has received recent support in the literature, and its existence would likely influence the future development of physical theories. This paper shows how Adlam's principle of temporal locality can be violated within a protocol involving indefinite causal orders. While the derivations of Leggett-Garg inequalities or the temporal CHSH inequality are said to involve problematic assumptions preventing a targeted probing of a well-defined notion of temporal nonlocality, the present test is free from such worries. However, it is shown that the test, in its current formulation, fails to be fully model-independent. We provide several considerations regarding the physicality of ICOs that could help alleviate this drawback. In the present work, a specific physical interpretation of ICOs in terms of retrocausal influences would explain the presence of temporally nonlocal correlations. It is argued that, as the physical underpinnings of temporal nonlocality might also account for standard Bell nonlocality, focusing on the former as a consequence of ICOs might support under-explored strategies to make sense of the latter
Navigating permanent underdetermination in dark energy and inflationary cosmology
Get PDFWe identify troubling cases of so-called `permanent underdetermination' in both dark energy and inflationary cosmology. We bring to bear (a) a taxonomy of possible responses to underdetermination, and (b) an understanding of both dark energy and inflationary cosmology from an effective field point of view. We argue that, under certain conditions, there are available viable responses which can alleviate at least some of the concerns about underdetermination in the dark energy and inflationary sectors. However, outside of these specific scenarios, the epistemic threat of permanent underdetermination will persist
The Social Sciences and the A Priori
Get PDFThe paper makes a novel case to vindicate social sciences as substantially a priori against the mainstream view that rejects apriorism as unscientific. After a brief review of the state of the art and the open options to defend a science that is a priori, we lay out a methodological dualism according to which human action is not accessible to the methods of empirical science but requires a normative stance to identify its subject matter as the expression of intentional action. Against this background, we then bring the apriorism of Mises, Rothbard, and Hoppe together with the normative turn in philosophy established by the Pittsburgh School of Philosophy, resulting in normative apriorism as a firmly established scientific method that is specific to the social sciences. In brief, the strategy thus is to bring in normativity as a characteristic trait of human action in order to show why a science of human action has to be a priori in order to capture its subject
Framing Effects in Object Perception
Get PDFIn this paper we argue that object perception may be affected by what we call “perceptual frames.” Perceptual frames are adaptations of the perceptual system that guide how perceptual objects are singled out from a sensory environment. These adaptations are caused by perceptual learning and realized through bottom-up functional processes such that sensory information is organized in a subject-dependent way leading to idiosyncratic perceptual object representations. Through domain-specific training, perceptual learning, and the acquisition of object-knowledge, it is possible to modulate the adaptive perceptual system such that its ability to represent becomes bespoke. Different perceivers with different perceptual frames may, therefore, receive the same sensory information and perceive different perceptual objects due to the effects of framing. Consequently, we demonstrate the plausibility of this account by surveying empirical data concerning the functions of (1) multisensory integration, (2) amodal completion, and (3) predictive anticipation. Regarding (1), we argue that the perceptual system’s optimization processes employ perceptual frames to facilitate multisensory feature binding. Regarding (2), we argue that amodal completion can occur with or without the help of mental imagery, yet either instance of amodal completion requires perceptual frames. Regarding (3), we demonstrate that perceptually anticipating an object’s motion involves the implementation of perceptual frames. We conclude that framing effects are a matter of perceptual diversity and highlight the need to accommodate unique perspectives in the philosophy and science of perception
Resolution Matrix Semantics for Modal Logic: Philosophical Implications of Indeterminacy and Poly-Logic Thinking
Get PDFThis paper explores the philosophical implications of Resolution Matrix Semantics (RMS) as an alternative foundation for modal logic. Unlike traditional Kripkean models, which interpret modality through relations between multiple possible worlds governed by classical logic, RMS treats indeterminate truth values as fundamental, operating within a single world. RMS introduces "blinking" truth assignments and sub-interpretations to resolve uncertainty, capturing the inherently poly-logical nature of human thought. Drawing a parallel to quantum physics, we argue that Kripke models resemble Everett’s Many-Worlds interpretation, while RMS aligns with the Copenhagen interpretation’s emphasis on intrinsic uncertainty. RMS offers a new view of modal reasoning—not as a proliferation of worlds, but as a diversification of perspectives within one world. The framework’s philosophical significance is examined through connections to poly-logic thinking, quantum cognitive models, and potential applications in artificial intelligence and parallel computing. RMS ultimately provides a dynamic, pluralistic model for rationality that better reflects the complexity of human cognition and decision-making under uncertainty
Misplaced Trust in Expertise: Pseudo-Experts and Unreliable Experts
Get PDFThe persistence of scientific misconceptions is often attributed to a decline in trust in experts. Against this simplistic picture, we emphasize that misplaced trust in expertise plays a crucial role in sustaining such misconceptions: even laypeople actively seeking expert guidance may nonetheless place their trust in unreliable sources. The paper identifies two main kinds of ’epistemic traps’ that are relevant to this phenomenon. In addition to fake experts who flaunt competence they lack (like pseudoexperts and pseudo-scientists), we emphasise the importance of unreliable experts, who possess relevant credentials but systematically offer unreliable testimony. The resulting picture clashes with the commonplace idea that laypeople bear significant epistemic blame for endorsing misconceptions. Even responsible agents can be misled by unreliable experts who display legitimate credentials: the less evident the source’s unreliability, the less responsible is the agent for being misled
Ontological perspectives in crystal solids
Get PDFThis paper addresses the issue of the different levels of description of matter and the relationships between them. Specifically, it focuses on the area of crystalline solids, a topic that has been scarcely analyzed in the philosophy of chemistry. Unlike other cases where the relevant levels are clearly defined, the scientific practice related to crystals introduces new entities, such as phonons, which complicate the ontological landscape. In order to organize the discussion, the conceptual implications of describing crystals through three distinct levels are explored: the atomistic, the phononic, and the crystal as a whole. Existing proposals for understanding the phenomenon are analyzed, and based on the introduction of the Tensor Product Structure approach, it is argued that the ontological perspectives of crystals depend on external criteria beyond the formalism that describes them. In the absence of external criteria, a pluralistic ontology is obtained, granting equal status to all entities. On the other hand, privileging the total system or the fundamental components leads to holistic or atomistic ontologies, respectively
From Computation to Coherence: Toward a Structural Symbolic Theory of General Intelligence
Get PDFWhat distinguishes genuine intelligence from sophisticated simulation? This paper argues that the answer lies in symbolic coherence—the structural capacity to interpret information, revise commitments, and maintain continuity of reasoning across contradiction. Current AI systems generate fluent outputs while lacking mechanisms to track their own symbolic commitments or resolve contradictions through norm-guided revision. This theory proposes F(S), a structural identity condition requiring interpretive embedding, reflexive situatedness, and internal normativity. This condition is substrate-neutral and applies to both biological and artificial systems. Unlike behavioral benchmarks, F(S) offers criteria for participation in symbolic reasoning rather than surface-level imitation. To demonstrate implementability, the paper presents a justification graph architecture that supports recursive coherence and transparent revision. A diagnostic scalar, symbolic density, tracks alignment over symbolic time. By uniting philosophical insights with concrete system design, this framework outlines foundations for machines that may one day understand rather than simulate understanding