Search Results (13)

I recently developed the concept of eco-cognitive openness and situatedness to explain how cognitive systems, whether human or artificial, engage dynamically with their surroundings to generate information and creative outcomes through abductive cognition. Human cognition demonstrates significant eco-cognitive openness, utilizing external resources like tools and cultural contexts to produce contextually rich hypotheses, sometimes highly creative via what I called “unlocked strategies.” Conversely, generative AI, such as large language models (LLMs) and image generators, employs “locked strategies,” relying on pre-existing datasets with minimal real-time environmental interaction—this leads to limited creativity. While these systems can yield some low-level degrees of creative outputs, their lack of human-like eco-cognitive openness restricts their ability to achieve high-level creative abductive feats, which remain a human strength, especially among the most talented. However, LLMs often outperform humans in routine cognitive tasks, exposing human intellectual limitations rather than AI deficiencies. Much human cognition is repetitive and imitative, resembling “stochastic parrots,” much like LLMs. Thus, LLMs are potent cognitive tools that can enhance human performance but also endanger creativity. Future AI developments, such as human–AI partnerships, could improve eco-cognitive openness, but risks like bias and overcomputationalization necessitate human oversight to ensure meaningful results. In collaborative settings, generative AI can serve as an epistemic mediator, narrowing the gap toward unlocked creativity. To safeguard human creativity, control over AI output must be maintained, embedding them in socio-cultural contexts. I also express concern that ethical and legal frameworks to mitigate AI’s negative impacts may fail to be enforced, risking “ethics washing” and “law washing.” Full article

The paper revisits Janssen’s proposal of Common Origin Inferences (COIs), a powerful and scientifically fruitful inference pattern that (causally) traces striking coincidences back to a common origin. According to Janssen, COIs are a decisive engine for rational theory change across disciplines and eras. After a careful reconstruction of Janssen’s central tenets, we critically assess them, highlighting three key shortcomings: its strong realist and ontological commitments, its restriction to (or strong penchant for) causal/ontic explanations, and its intended employment for conferring evidential-epistemic status. To remedy these shortcomings, we moot a natural generalisation and amelioration of Janssen’s original conception—COI*s: Constraint-Omnivorous Inferences. COI*s warrant inference to pursuit-worthy hypotheses: it is rational to further study, work on, elaborate/refine or test hypotheses that account for multiple constraints in one fell swoop. As a demonstration of the utility of COI* reasoning, we finally show how it sheds light on, and dovetails, the three most significant breakthroughs in recent cosmology: the Dark Matter hypothesis, the Dark Energy postulate, and the theory of cosmic inflation. Full article

Permittivity measurements of concrete materials benefit from the application of high-frequency electromagnetic waves (HF-EMWs), but they still face the problem of being aleatory and exhibit epistemic uncertainty, originating from multi-phase heterogeneous materials and the limited knowledge of HF-EMW propagation. This limitation restricts the precision of non-destructive testing. This study proposes an evidential regression deep network for conducting permittivity measurements with uncertainty quantification. This method first proposes a finite-difference time-domain (FDTD) model with multi-phase heterogeneous concrete materials to simulate HF-EMW propagation in a concrete sample or structure, obtaining the HF-EMW echo that contains aleatory uncertainties owing to the limited knowledge of wave propagation. A U-net-based model is then proposed to denoise an HF-EMW, where the difference between a couple of observed and denoised HF-EMWs characterizes aleatory uncertainty owing to measurement noise. Finally, a Dempster–Shafer theory-based (DST-based) evidential regression network is proposed to compute permittivity, incorporating the quantification of two types of uncertainty using a Gaussian random fuzzy number (GRFN): a type of fuzzy set that has the characteristics of a Gaussian fuzzy number and a Gaussian random variable. An experiment with 1500 samples indicates that the proposed method measures permittivity with a mean square error of 7.50% and a permittivity uncertainty value of 74.70% in four types of concrete materials. Additionally, the proposed method can quantify the uncertainty in permittivity measurements using a GRFN-based belief measurement interval. Full article

In this article, I examine the external and internal syntax of instrumental indem-clauses in German. As a subordidating conjunction, indem takes a finite TP as its complement and triggers verb final position. I provide evidence showing that instrumental indem-clauses can only operate on the content level and that they cannot be interpreted epistemically, nor can they modify a speech act. Furthermore, I argue that although indem-clauses are restricted to a particular interpretation, they can attach at two distinct heights in the matrix clause. If they are analyzed as central adverbial clauses, they attach as T[ense]P[hrase] adjuncts. If, on the other hand, instrumental indem-clauses are treated as peripheral adverbial clauses, they are taken to be J[udge]P[hrase] adjuncts. Main evidence for the analysis comes from: i) variable binding and Principle C effects, ii) movement to the left periphery of the matrix clause, and iii) licensing conditions of weak and strong root phenomena. Full article

Anyone specialising in Islamic theology at a Western university is aware of the fact that their teaching and research will either be recognised by the institution as falling under the category of “Islamic Studies” or “Divinity”. In the first case, Islam is predominantly considered a cultural phenomenon and studied as such. In the second case, for reasons that have to do with what Marianne Moyaert in her latest book Christian Imaginations of the Religious Other has conceptualised as “Christian normativity” and the “religionisation” of other faiths, Islamic theology is de facto understood as Islamic speculative theology (kalām). In both cases, the understanding of how Islam theorises and practices theology is significantly restricted, when not altogether ignored. This article unpacks the genealogy of the secular version of a Christian epistemic framework that dominates the study of Islamic theology in the West and engages with the issues related to its application in the field of Islamic theology. In doing so, it opens a critical space for the investigation of Islamic literary productions as both dissensual and consensual theological terrains, through the analysis of the poetry of two theologians and polymathic scholars from two different periods of Islamic history, namely Ibn al-Fāriḍ (d. 632/1235) and Sidi Muḥammad Ibn al-Ḥabīb (d. 1390/1971). Full article

A restricted form of Landauer’s principle, independent of computational considerations, is shown to hold for thermal systems by reference to the joint entropy associated with conjugate observables. It is shown that the source of the compensating entropy for irreversible physical processes is due to the ontological uncertainty attending values of such mutually incompatible observables, rather than due to epistemic uncertainty, as traditionally assumed in the information-theoretic approach. In particular, it is explicitly shown that erasure of logical (epistemic) information via reset operations is not equivalent to erasure of thermodynamic entropy, so that the traditional, information-theoretic form of Landauer’s principle is not supported by the physics. A further implication of the analysis is that, in principle, there can be no Maxwell’s Demon in the real world. Full article

The artificial grammar learning paradigm is a classic method of investigating the influence of universal constraints on shaping learning biases on language acquisition. While this method has been used extensively by linguists to test theoretical claims in generative grammar, one of the most prevalent frameworks in language acquisition, several studies have questioned whether artificial grammar learning reflects language acquisition enough to allow us to use it to draw inferences about the validity of universal constraints, particularly those arising from phonetic naturalness. The current study tests whether artificial grammar learning shows the effect of one robust phonetic naturalness constraint: the restriction on nasal harmony patterns arising from the sonority hierarchy. Nasal harmony is of particular interest because it is one of the few types of harmony that occurs between consonants and vowels, which is an under-researched topic. The results, contrary to the skeptical concerns, showed that participants (n = 120) could learn an artificial grammar involving a natural pattern, but could not learn one corresponding to an arbitrary/phonetically unmotivated pattern in the same way or to the same degree. This study contributes epistemic support to the large body of work using artificial grammar experiments to test phonological operations. Full article

Background: The COVID-19 pandemic has considerably influenced all domains of people’s lives worldwide, determining a high increase in overall psychological distress and several clinical conditions. The study attempted to shed light on the relationship between the strategies adopted to manage the pandemic, vaccine hesitancy, and distinct features of personality and mental functioning. Methods: The sample consisted of 367 Italian individuals (68.1% women, 31.9% men; M age = 37, SD = 12.79) who completed an online survey, including an instrument assessing four response styles to the pandemic and lockdown(s), the Personality Inventory for DSM-5-Brief Form, the Defense Mechanisms Rating Scales-Self-Report-30, the Reflective Functioning Questionnaire, and the Epistemic Trust, Mistrust, Credulity Questionnaire. Results: Maladaptive response patterns to pandemic restrictions were related to dysfunctional personality traits, immature defense mechanisms, poor mentalization, and epistemic mistrust or credulity. Moreover, more severe levels of personality pathology were predictive of an extraverted-maladaptive response style to health emergency through the full mediation of low overall defensive functioning, poor certainty of others’ mental states, and high epistemic credulity. Conclusions: Recognizing and understanding dysfunctional psychological pathways associated with individuals’ difficulties in dealing with the pandemic are crucial for developing tailored mental-health interventions and promoting best practices in healthcare services. Full article

We explore a particular way of reformulating quantum theory in classical terms, starting with phase space rather than Hilbert space, and with actual probability distributions rather than quasiprobabilities. The classical picture we start with is epistemically restricted, in the spirit of a model introduced by Spekkens. We obtain quantum theory only by combining a collection of restricted classical pictures. Our main challenge in this paper is to find a simple way of characterizing the allowed sets of classical pictures. We present one promising approach to this problem and show how it works out for the case of a single qubit. Full article

(1) Background: COVID-19 disruptions offer researchers insight into how pandemics are at once biological and social threats, as communities struggle to construct meaning from novel challenges to their ontological status quo. Multiple epistemes, in which public health imperatives confront and negotiate locally derived knowledge and traditions, vie for legitimacy and agency, resulting in new cultural forms. (2) Methods: To investigate the context and construction of community responses, a systematic review of qualitative literature was conducted with the aim of evaluating those insights provided by empirical, social field research in low- and middle-income countries since the onset of COVID-19. Six scholarly databases were searched for empirical, qualitative, field-based, or participatory research that was published in peer-reviewed journals between December 2019 and August 2021. (3) Results: Twenty-five studies were selected for data extraction, following critical appraisal for methodological rigor by two independent reviewers, and were then analyzed thematically. Faced with unprecedented social ruptures, restrictions in social and physical mobility, and ever-looming uncertainties of infection, financial insecurity, stigma, and loss, communities worldwide reacted in multiple and complex ways. Pervasive misinformation and fear of social rejection resulted in noncompliance with pandemic sanctions, resistance, and increased isolation, allowing the spread of the disease. The meaning of, and understandings about, COVID-19 were constructed using traditional, religious, and biomedical epistemologies, which were occasionally in conflict with each other. Innovations and adaptations, through syntheses of traditional and biomedical discourses and practice, illustrated community resilience and provided models for successful engagement to improve public health outcomes. (4) Conclusion: Local context and community engagement were indispensable considerations when enacting effective public health interventions to meet the challenges of the pandemic. Full article

The idea that knowledge may exist in different forms may present a conceptual challenge for many university teachers. Our experience has shown that STEM teachers tend to view knowledge through a singular epistemological lens, driven by their disciplinary background. Such a restricted view impedes the development of teaching beyond traditional transmission models. In order to help STEM academics engage with a broader view of knowledge (and so help their students to engage in meaningful learning that does not exclude deeply held cultural perspectives), we propose a gateway into the ecology of knowledges. In this case, the gateway is created by using the analogy of protein structure—a complex idea that science teachers will be familiar with, and which demonstrates the importance of multiple perspectives on a single object. In this conceptual paper, we offer this as a tool to support the adoption of a multi-epistemic appreciation of knowledge that may lead to a more scholarly approach to university teaching. Full article

We apply the geometric quantization procedure via symplectic groupoids to the setting of epistemically-restricted toy theories formalized by Spekkens (Spekkens, 2016). In the continuous degrees of freedom, this produces the algebraic structure of quadrature quantum subtheories. In the odd-prime finite degrees of freedom, we obtain a functor from the Frobenius algebra of the toy theories to the Frobenius algebra of stabilizer quantum mechanics. Full article

This study aims to disentangle complexity from randomness and chaos, and to present a definition of complexity that emphasizes its epistemically distinct qualities. I will review existing attempts at defining complexity and argue that these suffer from two major faults: a tendency to neglect the underlying dynamics and to focus exclusively on the phenomenology of complex systems; and linguistic imprecisions in describing these phenomenologies. I will argue that the tendency to discuss phenomenology removed from the underlying dynamics is the main root of the difficulties in distinguishing complex from chaotic or random systems. In my own definition, I will explicitly try to avoid these pitfalls. The theoretical contemplations in this paper will be tested on a sample of five models: the random Kac ring, the chaotic CA30, the regular CA90, the complex CA110 and the complex Bak-Sneppen model. Although these modelling studies are restricted in scope and can only be seen as preliminary, they still constitute on of the first attempts to investigate complex systems comparatively. Full article