Hasil untuk "Philosophy. Psychology. Religion"

Anthony Maocheia-Ricci, Edith Law

Value-based approaches such as Value Sensitive Design (VSD) enable technology designers to engage with and integrate human values in technology through a tripartite methodology of conceptual, empirical, and technical investigations. However, VSD contains pitfalls in both translating values to requirements and a lack of normative grounding, leading to adaptations such as Jacobs' Capability Sensitive Design (CSD). Inspired by CSD and extensions of the design approach, we propose the concept of creating -Sensitive Design (-SD); a meta-framework to embed various political or ideological values as norms in a design research process. We exemplify this through \emph{Dependency}-Sensitive Design (DSD), combining ideas from Kittay's critiques of classical liberal theory within a practical VSD framework. Finally, we push for further work combining philosophy and design in areas beyond CSD and DSD.

Stelios Negrepontis, Athanase Papadopoulos

Even though Plato's philosophy in ancient times was always closely associated with mathematics, modern Platonic scholarship, during the last five centuries, has moved steadily toward de-mathematization. The present work aims to outline a radical re-interpretation of Plato's philosophy, according to which the Platonic Idea, that is, the intelligible Being, has the structure of the philosophical analogue of a geometric dyad in a philosophic anthyphaeresis -- the precursor of modern continued fractions -- which was studied by the Pythagoreans, Theodorus and Theaetetus in relation with the discoveries of quadratic incommensurabilities. This mathematical structure is clearly visible in the Platonic method of Division and Collection, equivalently Name and Logos, equivalently True Opinion plus Logos, in the dialogues Theaetetus, Sophist, Statesman, Meno, and Parmenides. Equipped with this structure of an intelligible Being, we provide definitive answers to fundamental questions, that were not be resolved by Platonists, concerning the following topics: the dialectic numbers, which are based on the anthyphairetic periodicity and the plus one rule, stating that the dialectic number of terms of a sequence is the (number of) ratios of successive terms plus one (stated in the Parmenides 148d-149d); the description of the intelligible being as an Indivisible Line, a statement bordering on the contradictory; the also seemingly contradictory Sophist 's statement that ``the not-Being is a Being'', based on the equalization of the two elements of the dyad defining an intelligible Being; the more general self-similar Oneness of an intelligible Being, based on the equalization of all parts generated by the anthyphairetic division of an intelligible Being; and finally the Third Man Argument in the Introduction to the Parmenides, appearing as a threat for Plato's theory, but essentially innocuous because of the self-similar Oneness. The third part of our study aims to prove that, contrary to the presently dominant interpretation of Zeno's arguments and paradoxes as being devoid of mathematical content, the analysis of Zeno's presence in the Parmenides, Sophist (via the Eleatic Stranger), and Zeno's verbatim Fragments preserved by Simplicius, show that Plato's intelligible Beings essentially coincide with Zeno's true Beings, and hence that Zeno's philosophical thought was already anthyphairetic, and hence heavily influenced by the Pythagorean's Mathematics. These findings run against Burkert's claim that ``ontology is prior to mathematics''. Modern Platonists have never obtained a clear description of the structure of an intelligible Idea in terms of the mathematics of periodic anthyphairesis, and thus were not able to answer fundamental questions, nor to realize the close connection of Zeno's intelligible beings with Zeno's true Beings.

Rubens Kim, Stephan Carney, Yvonne Fonken et al.

We examine whether measured cognitive processes predict cyber-attack behavior. We analyzed data that included psychometric scale responses and labeled attack behaviors from cybersecurity professionals who conducted red-team operations against a simulated enterprise network. We employed multilevel mixed-effects Poisson regression with technique counts nested within participants to test whether cognitive processes predicted technique-specific usage. The scales significantly predicted technique use, but effects varied by technique rather than operating uniformly. Neither expertise level nor experimental treatment condition significantly predicted technique patterns, indicating that cognitive processes may be stronger drivers of technique selection than training or experience. These findings demonstrate that individual cognitive differences shape cyber-attack behavior and support the development of psychology-informed defense strategies.

Moussa Koulako Bala Doumbouya, Dan Jurafsky, Christopher D. Manning

Work in psychology has highlighted that the geometric model of similarity standard in deep learning is not psychologically plausible because its metric properties such as symmetry do not align with human perception of similarity. In contrast, Tversky (1977) proposed an axiomatic theory of similarity with psychological plausibility based on a representation of objects as sets of features, and their similarity as a function of their common and distinctive features. This model of similarity has not been used in deep learning before, in part because of the challenge of incorporating discrete set operations. In this paper, we develop a differentiable parameterization of Tversky's similarity that is learnable through gradient descent, and derive basic neural network building blocks such as the Tversky projection layer, which unlike the linear projection layer can model non-linear functions such as XOR. Through experiments with image recognition and language modeling neural networks, we show that the Tversky projection layer is a beneficial replacement for the linear projection layer. For instance, on the NABirds image classification task, a frozen ResNet-50 adapted with a Tversky projection layer achieves a 24.7% relative accuracy improvement over the linear layer adapter baseline. With Tversky projection layers, GPT-2's perplexity on PTB decreases by 7.8%, and its parameter count by 34.8%. Finally, we propose a unified interpretation of both types of projection layers as computing similarities of input stimuli to learned prototypes for which we also propose a novel visualization technique highlighting the interpretability of Tversky projection layers. Our work offers a new paradigm for thinking about the similarity model implicit in modern deep learning, and designing neural networks that are interpretable under an established theory of psychological similarity.

Fangyu Peng, Jingxin Nie

With the development of science and the continuous progress of artificial intelligence technology, Large Language Models (LLMs) have begun to be widely utilized across various fields. However, in the field of psychological counseling, the ability of LLMs have not been systematically assessed. In this study, we assessed the psychological counseling ability of mainstream LLMs using 1096 psychological counseling skill questions which were selected from the Chinese National Counselor Level 3 Examination, including Knowledge-based, Analytical-based, and Application-based question types. The analysis showed that the correctness rates of the LLMs for Chinese questions, in descending order, were GLM-3 (46.5%), GPT-4 (46.1%), Gemini (45.0%), ERNIE-3.5 (45.7%) and GPT-3.5 (32.9%). The correctness rates of the LLMs for English questions, in descending order, were ERNIE-3.5 (43.9%), GPT-4 (40.6%), Gemini (36.6%), GLM-3 (29.9%) and GPT-3.5 (29.5%). A chi-square test indicated significant differences in the LLMs' performance on Chinese and English questions. Furthermore, we subsequently utilized the Counselor's Guidebook (Level 3) as a reference for ERNIE-3.5, resulting in a new correctness rate of 59.6%, a 13.8% improvement over its initial rate of 45.8%. In conclusion, the study assessed the psychological counseling ability of LLMs for the first time, which may provide insights for future enhancement and improvement of psychological counseling ability of LLMs.

Julian Rutten, Alexander Holland, Stanislav Roudavski

This research explores the idea of plants as designers and discusses approaches that humans can use to support plant’s productive agencies. It argues that plants have unique and valuable capabilities for creating and caring for their environments. Human interventions often overlook or constrain such capabilities. In response, the article proposes to use numerical modelling to better understand plants better while challenging the anthropocentric assumptions that are common in design. It focuses on large old trees in Tasmania as examples of outstanding plant-designers that need more recognition and protection. The article also raises open questions for further research on the ethical, ecological, and aesthetic implications of vegetal design.

Jinpeng Hu, Tengteng Dong, Luo Gang et al.

Mental health has attracted substantial attention in recent years and LLM can be an effective technology for alleviating this problem owing to its capability in text understanding and dialogue. However, existing research in this domain often suffers from limitations, such as training on datasets lacking crucial prior knowledge and evidence, and the absence of comprehensive evaluation methods. In this paper, we propose a specialized psychological large language model (LLM), named PsycoLLM, trained on a proposed high-quality psychological dataset, including single-turn QA, multi-turn dialogues and knowledge-based QA. Specifically, we construct multi-turn dialogues through a three-step pipeline comprising multi-turn QA generation, evidence judgment, and dialogue refinement. We augment this process with real-world psychological case backgrounds extracted from online platforms, enhancing the relevance and applicability of the generated data. Additionally, to compare the performance of PsycoLLM with other LLMs, we develop a comprehensive psychological benchmark based on authoritative psychological counseling examinations in China, which includes assessments of professional ethics, theoretical proficiency, and case analysis. The experimental results on the benchmark illustrate the effectiveness of PsycoLLM, which demonstrates superior performance compared to other LLMs.

Haojie Xie, Yirong Chen, Xiaofen Xing et al.

Currently, large language models (LLMs) have made significant progress in the field of psychological counseling. However, existing mental health LLMs overlook a critical issue where they do not consider the fact that different psychological counselors exhibit different personal styles, including linguistic style and therapy techniques, etc. As a result, these LLMs fail to satisfy the individual needs of clients who seek different counseling styles. To help bridge this gap, we propose PsyDT, a novel framework using LLMs to construct the Digital Twin of Psychological counselor with personalized counseling style. Compared to the time-consuming and costly approach of collecting a large number of real-world counseling cases to create a specific counselor's digital twin, our framework offers a faster and more cost-effective solution. To construct PsyDT, we utilize dynamic one-shot learning by using GPT-4 to capture counselor's unique counseling style, mainly focusing on linguistic style and therapy techniques. Subsequently, using existing single-turn long-text dialogues with client's questions, GPT-4 is guided to synthesize multi-turn dialogues of specific counselor. Finally, we fine-tune the LLMs on the synthetic dataset, PsyDTCorpus, to achieve the digital twin of psychological counselor with personalized counseling style. Experimental results indicate that our proposed PsyDT framework can synthesize multi-turn dialogues that closely resemble real-world counseling cases and demonstrate better performance compared to other baselines, thereby show that our framework can effectively construct the digital twin of psychological counselor with a specific counseling style.

Guanghui Fu, Qing Zhao, Jianqiang Li et al.

In the contemporary landscape of social media, an alarming number of users express negative emotions, some of which manifest as strong suicidal intentions. This situation underscores a profound need for trained psychological counselors who can enact effective mental interventions. However, the development of these professionals is often an imperative but time-consuming task. Consequently, the mobilization of non-professionals or volunteers in this capacity emerges as a pressing concern. Leveraging the capabilities of artificial intelligence, and in particular, the recent advances in large language models, offers a viable solution to this challenge. This paper introduces a novel model constructed on the foundation of large language models to fully assist non-professionals in providing psychological interventions on online user discourses. This framework makes it plausible to harness the power of non-professional counselors in a meaningful way. A comprehensive study was conducted involving ten professional psychological counselors of varying expertise, evaluating the system across five critical dimensions. The findings affirm that our system is capable of analyzing patients' issues with relative accuracy and proffering professional-level strategies recommendations, thereby enhancing support for non-professionals. This research serves as a compelling validation of the application of large language models in the field of psychology and lays the groundwork for a new paradigm of community-based mental health support.

Gordana Dodig-Crnkovic

Modern computational natural philosophy conceptualizes the universe in terms of information and computation, establishing a framework for the study of cognition and intelligence. Despite some critiques, this computational perspective has significantly influenced our understanding of the natural world, leading to the development of AI systems like ChatGPT based on deep neural networks. Advancements in this domain have been facilitated by interdisciplinary research, integrating knowledge from multiple fields to simulate complex systems. Large Language Models (LLMs), such as ChatGPT, represent this approach's capabilities, utilizing reinforcement learning with human feedback (RLHF). Current research initiatives aim to integrate neural networks with symbolic computing, introducing a new generation of hybrid computational models.

Huixin Zhong, Eamonn O'Neill, Janina A. Hoffmann

Article 5 of the European Union's Artificial Intelligence Act is intended to regulate AI use to prevent potentially harmful consequences. Nevertheless, applying this legislation practically is likely to be challenging because of ambiguously used terminologies and because it fails to specify which manipulation techniques may be invoked by AI, potentially leading to significant harm. This paper aims to bridge this gap by defining key terms and demonstrating how AI may invoke these techniques, drawing from insights in psychology and behavioural economics. First, this paper provides definitions of the terms "subliminal techniques", "manipulative techniques" and "deceptive techniques". Secondly, we identified from the literature in cognitive psychology and behavioural economics three subliminal and five manipulative techniques and exemplify how AI might implement these techniques to manipulate users in real-world case scenarios. These illustrations may serve as a practical guide for stakeholders to detect cases of AI manipulation and consequently devise preventive measures. Article 5 has also been criticised for offering inadequate protection. We critically assess the protection offered by Article 5, proposing specific revisions to paragraph 1, points (a) and (b) of Article 5 to increase its protective effectiveness.

Leonardo André Testoni, Vera Maria Nigro de Souza Placco

O contexto da educação básica brasileira caracteriza-se, de modo geral, na atuação de docentes com descompassos formativos, que ministram aulas de diversas disciplinas, no caso dos anos iniciais do ensino fundamental, ou que lecionam disciplinas diversas de sua área de formação, no caso das séries finais e ensino médio. Nessa linha, diversos estudos apontam para a evidência de lacunas e imprecisões conceituais no planejamento de intervenções didáticas, devido ao precário desenvolvimento profissional. Desse modo, o presente artigo traz uma revisão teórica sistemática sobre o tema relacionado aos conhecimentos profissionais do magistério e busca contribuir com tal debate, trazendo como resultado a proposta de uma visão do processo de construção de saberes docentes com base em modelos do conhecimento pedagógico de conteúdo articulados com os processos de criação vigotskianos. Tal proposta possibilitou possíveis implicações das articulações apresentadas em associação com as pesquisas relacionadas à formação docente, bem como com propostas formativas, que levem em consideração o contexto cultural do professor, especificamente seus esquemas repertoriais, aqui representados pelo espectro criativo. Desse modo, pretende-se que os contextos formativos utilizem e incrementem o repertório professoral, repertório este fundamental para o desenvolvimento de novos Conhecimentos Pedagógicos de Conteúdo em um caráter transformativo, possibilitando práticas que permitam o desenvolvimento profissional docente.

Redactie

Kanika K. Ahuja, Tanika Pundir

Naumova Katerina

This study used path analysis to evaluate the ability of the Theory of planned behaviour to predict professional help-seeking intentions in an adult community sample (N = 470, 51% female, age range: 18–64 years). The results showed that perceived behavioural control was the most significant antecedent of help-seeking intentions, positive attitudes increased the likelihood to seek professional help, however, their effect was small, while subjective norms were not relevant. Past help-seeking had a small direct effect on intentions, yet equally strong as the total indirect effect via attitudes and perceived behavioural control. Psychological distress affected intentions only indirectly. Difficulties with self-disclosure were the only barrier that had a partially mediated effect on intentions through perceived behavioural control. The findings are discussed with respect to the utility of the TPB model, as well as in the wider context of professional help-seeking and interventions to encourage the utilization of mental health services.

Acep Aripudin, Mohammad T. Rahman, Dede Burhanudin et al.

This article describes a new method of viewing a historical phenomenon based on its social significance. This method enabled the classification and analysis of a group in a context simultaneously and chronologically. Using historical phenomenology, the authors found a polarisation of Chinese Muslims’ thoughts and practices in the Indonesian context. As an example, the technique of classification of Islamic thoughts is illustrated to discover Chinese Muslim figures’ religious activities. This method allows an improved social investigation to probe deeply into Chinese Muslims’ formal religious life. The evaluation of the effectiveness of the new method is confirmed by the calculation of the polarisation of Chinese Muslim religiousness, leading to the fragmentation and diversification of Indonesian Chinese Muslims in the realms of politics, economic practices or Islamic rituals. New research results improve the understanding of how a social history of an ethnicity could grow and assimilate in a context. The assimilation could contribute to religious harmony in such a pluralistic country such as Indonesia and can be used for making better social decisions, especially related to the lives of minorities, who urgently need policymakers and stakeholders to accommodate the rights of those who are still in the process of gaining fairer recognition. Contribution: Using historical phenomenology, this article tries to classify and study a group in a setting concurrently and chronologically. An in-depth social inquiry into the formal religious life of Chinese Muslims discovered a calculation of religious Chinese Muslims’ polarisation, which led to the dispersion and diversification of Indonesian Chinese Muslims’ politics, economic practices and Islamic rituals. New policy proposals can be made by evaluating religious polarisation.

Raquel Bouso

En su obra Intimacy or Integrity: Philosophy and Cultural Difference (originalmente 1988 Gilbert Ryle Lectures, publicada en 2002), Thomas P. Kasulis identifica dos tipos de orientaciones “intimidad” e “integridad” que condicionan tanto las relaciones interpersonales como nuestra relación con el mundo. Si bien ambas orientaciones se pueden hallar tanto en las tradiciones filosóficas occidentales como en las asiáticas, puede decirse que la primera predomina en buena parte de la filosofía japonesa. A partir del paradigma de la intimidad descrito por Kasulis, examinaremos dos creaciones conceptuales de Nishida Kitarō (1870-1945) y Watsuji Tetsurō (1889-1960) respectivamente, el “yo como lugar” y el “ambiente geocultural”. De este modo, mostraremos cómo emerge un modo de comprender el “yo” como algo situado y relacional que nos permite pensar un modo de ser ecológico-comunitario.

Feifei Xu, Xinpeng Wang, Yunpu Ma et al.

Story generation, which aims to generate a long and coherent story automatically based on the title or an input sentence, is an important research area in the field of natural language generation. There is relatively little work on story generation with appointed emotions. Most existing works focus on using only one specific emotion to control the generation of a whole story and ignore the emotional changes in the characters in the course of the story. In our work, we aim to design an emotional line for each character that considers multiple emotions common in psychological theories, with the goal of generating stories with richer emotional changes in the characters. To the best of our knowledge, this work is first to focuses on characters' emotional lines in story generation. We present a novel model-based attention mechanism that we call SoCP (Storytelling of multi-Character Psychology). We show that the proposed model can generate stories considering the changes in the psychological state of different characters. To take into account the particularity of the model, in addition to commonly used evaluation indicators(BLEU, ROUGE, etc.), we introduce the accuracy rate of psychological state control as a novel evaluation metric. The new indicator reflects the effect of the model on the psychological state control of story characters. Experiments show that with SoCP, the generated stories follow the psychological state for each character according to both automatic and human evaluations.

Alberto Barbado, Víctor Fresno, Ángeles Manjarrés Riesco et al.

Nowadays, there are many applications of text mining over corpora from different languages. However, most of them are based on texts in prose, lacking applications that work with poetry texts. An example of an application of text mining in poetry is the usage of features derived from their individual words in order to capture the lexical, sublexical and interlexical meaning, and infer the General Affective Meaning (GAM) of the text. However, even though this proposal has been proved as useful for poetry in some languages, there is a lack of studies for both Spanish poetry and for highly-structured poetic compositions such as sonnets. This article presents a study over an annotated corpus of Spanish sonnets, in order to analyse if it is possible to build features from their individual words for predicting their GAM. The purpose of this is to model sonnets at an affective level. The article also analyses the relationship between the GAM of the sonnets and the content itself. For this, we consider the content from a psychological perspective, identifying with tags when a sonnet is related to a specific term. Then, we study how GAM changes according to each of those psychological terms. The corpus used contains 274 Spanish sonnets from authors of different centuries, from 15th to 19th. This corpus was annotated by different domain experts. The experts annotated the poems with affective and lexico-semantic features, as well as with domain concepts that belong to psychology. Thanks to this, the corpus of sonnets can be used in different applications, such as poetry recommender systems, personality text mining studies of the authors, or the usage of poetry for therapeutic purposes.

J. Jesús Becerra Ramírez, Mirna Elizabeth Quezada

El nombre del presente número es “La investigación para la acción y el cambio social”, decidimos titularlo de esa manera porque consideramos de fundamental interés destacar la importancia que ha adquirido el trabajo científico desarrollado por los profesionales de distintas disciplinas para favorecer a la población que atienden respectivamente, pues en los trabajos presentados se muestra una excelente articulación entre la teoría y la práctica, poniendo en evidencia que se parte de una concepción social y científica, holística, pluralista e igualitaria. La investigación-acción es definida como movimiento social, consecuencia de los significados que emergen de la acción y de la investigación, pero sobre todo de la relación entre ambas; de aquí se desprende su principal característica que estriba en identificar las teorías que utilizan los actores para guiar una acción y asimismo ser capaces de predecir sus consecuencias, siempre teniendo en cuenta que los resultados obtenidos serán utilizados “en” y “para” la acción, en la mayoría de los casos buscando beneficiar con ellos a todos los involucrados y teniendo la clara intención de solucionar o apoyar en la resolución de un problema concreto. Es importante distinguir que la investigación-acción se proyecta en tres dimensiones: personal, profesional y política. En la dimensión personal el énfasis se hace en el enriquecimiento, autoconocimiento y realización de cada sujeto en la comprensión profunda de las propias prácticas. Es por esto que algunos autores la consideran como un proceso neutral de acumulación de conocimientos a nivel desarrollo profesional práctico. En este caso se une la teoría y la práctica y se convierte en conocimiento y acción. La parte política y social se logra cuando la construcción de la realidad comienza a manifestarse por medio de la acción reflexiva de las personas y las comunidades, evidenciando la importancia del conocimiento experiencial para un adecuado desarrollo como grupo social.