Foundations of Science最新文献

The increasing interplay of science and technology is often portrayed with an air of inevitability, but few studies explicitly discuss the source and nature of their interaction. Based on Polanyi’s thoughts on science, technology and personal research activity, in this paper, we consider the relationship between the (relative) divergence of science and the (relative) convergence of technology, and use it to analyse the interaction between science and technology. In particular, we consider the inter-confinement between science and technology that can be attributed to the interaction between the divergence of science and the convergence of technology. This science-technology nexus might have its impact on achieving technology-science progress.

Since the early days of humankind, people have been asking questions about Nature of two kinds: why did that happen? And how can that be used? In a broad sense, science was born that day. We show indeed that science has two complementary and interdependent souls that aim, respectively, to how to understand and how to control Nature. Through a broad historical analysis, this essay aims to (1) give an account of the development of science as an oscillation and an interplay between its two intrinsic natures, (2) demonstrate that this happened already in ancient times starting from the 6th century BC, and (3) the fact that in different periods one of the two natures was largely favored over the other is a consequence of science being a cultural product of the different social-historical contexts.

The paper examines the semiotic and cognitive status of interactive exhibits at science centers, taking the Copernicus Science Center in Warsaw (CSC) as an example. Such science centers support bottom-up interactions, encouraging visitors to spontaneously explore the exhibits in various ways. We analyze one distinctive way of interaction, when young visitors ignore an exhibit’s instruction and use it as if it were a kind of a toy or machine to play with (this is particularly common with exhibits that are unfamiliar “open-ended objects”). Drawing on cognitive semiotics we describe this particular way of interacting with exhibits as the reality mode of experience, in which the user ignores an intended exhibit’s representational function. We consider whether such interactive objects can be framed as cognitive artifacts, given that standard conceptualizations of artifacts emphasize their representational function. How can we convincingly describe the process by which the cognitive function of an exhibit experienced in reality mode is constituted? In this paper we apply concept of ecological cognitive artifact and the idea of the enactive signification to these questions. We argue that exhibits experienced in reality mode do indeed perform cognitive functions, even in the absence of a representational relation. Our investigation provides insights into the cognitive functions of exhibits and contributes to the conceptualization of non-representational cognitive artifacts.

This paper examines the interplay between integrative explanatory pluralism and the quest for unified theories. We argue that when grounded in virtues associated with satisfactory explanations, integrative pluralism exhibits an inherent instability stemming from the conflict between the demand for unity and the commitment to preserving a patchwork of disparate partial explanations. A case study in cognitive science illuminates the challenges of maintaining both systematicity and depth in explanations within this framework. While this instability does not render integrative pluralism fundamentally flawed, it stresses the importance of a diachronic analysis of scientific dynamics and norms. The conclusion highlights the continued value of integrative pluralism in interdisciplinary research programs, while emphasizing its role as a temporary rather than permanent approach.

Accurate skin lesion segmentation is an important task in dermatology for facilitating early diagnosis and treatment planning. The challenges in skin lesion segmentation comprehend the variability in lesion, low contrast, heterogeneous backgrounds, overlapping or connected lesions, noise and certain artifacts. Despite of these challenges, Deep learning models accomplish remarkable results for skin lesion segmentation by automatically learning discriminative features. The current research introduces a novel approach utilizing the ASSP-based Deeplabv3+ for skin lesion segmentation along with other UNET-based learners while employing VGG-16, VGG-19 and Dense nets as encoders. In addition, an analysis is conducted on GAN-UNET to evaluate the potential of Generative Artificial Intelligence in generating segmented images of skin lesions. Three benchmark medical image datasets, namely ISIC-2016, ISIC-2018, and HAM10000 Lesion Boundary Segmentation, are used to evaluate all five models. The models are trained exclusively on the ISIC-2018 dataset. A comparative analysis is performed, comparing the performance of these models against state-of-the-art segmentation methods, focusing on standard computer vision metrics. The proposed Deeplabv3+ model outperforms by showcasing its ability to accurately delineate skin lesions and surpassing existing techniques in terms of segmentation accuracy as 0.97, Jaccard coefficient as 0.84 and dice coefficient as 0.91.

In quantum information and computation, entanglement is a resource. When combining concepts, the application of entanglement outside of micro-physical systems is an useful tool. We suggest new cognitive image-based tests that do not need to be translated. No prior knowledge of terms related to the concepts is required, therefore the choice is more intuitive. We examine the merging of two concepts that establish non-classical statistical correlation and present an entanglement-aware vector encoding algorithm. This research’s added value results in an automated system that teaches artificial intelligence to identify and handle entangled concepts.

Quantum mechanics poses several challenges in ontological elucidation. Contextuality threatens determinism and favors realism about possibilia. Indistinguishability challenges traditional identity criteria associated with individual objects. Entanglement favors holistic and relational approaches. These issues, in close connection with different interpretations of quantum mechanics, have given rise to various proposals for the ontology of quantum mechanics. There is a proposal that is realistic about possibilia, where quantum systems are seen as bundles of possible intrinsic properties. This proposal is developed in close connection with modal interpretations and addresses quantum contextuality straightforwardly. There are also proposals based on relations, associated with the relational quantum mechanics interpretation. In this paper, features of these proposals are combined to obtain a modal bundle-theorist relational proposal. Its aim is to consistently and straightforwardly address both contextuality and the holistic and relational aspects of quantum mechanics arising from quantum entanglement. The proposal, if some additional principles are assumed, may turn out to be both an instance of moderate structuralism and priority monism.

Language not only reflects and cocreates social universes but can also be and is performative regarding the planetary common good, e.g., through international treaties and agreements. This paper investigates the rationale and feasibility of altering the language used by Glasgow Climate Pact to a posthuman mode that addresses the issue of more-than-human inequality by becoming inclusive toward nonhuman actors, and presents a selection of edited excerpts. The main findings state that (1) the language of the Glasgow Climate Pact is inadequate concerning its expected agency, (2) the reasons for this include its anthropocentrism, capitalocentrism and technocentrism, and (3) it is possible to rephrase the Glasgow Climate Pact and similar documents to address the diagnosed problems in a radically inclusive way. This paper represents a starting point for a discussion on the interrelations between climate and language and on the importance of language used by policy documents in the optics of climate action.

The foundations of biology have been a topic of debate for the past few decades. The traditional perspective of the Modern Synthesis, which portrays organisms as passive entities with a limited explanatory role in evolutionary theory, is giving way to a new paradigm where organisms are recognized as active agents, actively shaping their own phenotypic traits for adaptive goals. Within this context, this article raises the question of whether contemporary biological theory is undergoing a cognitive revolution. This inquiry can be approached in two ways: from a theoretical standpoint, exploring the centrality of the cognitive sciences in current theoretical biology; and from a historical perspective, examining the resemblance between the current state of theoretical biology and the Cognitive Revolution of the mid-twentieth century. Both inquiries yield affirmative answers, though important nuances will be emphasized. The cognitive sciences’ explanatory framework is employed to elucidate the agentic characteristics of organisms, establishing a clear parallelism between the Cognitive Revolution and the present state of theoretical biology.