298 research outputs found
The socratic dialogue as a ritual of emotional purification
Abstract In the present paper, the role that emotions play in Socratic self-care, as it can be reconstructed from Plato's dialogues, is investigated and explored. In highlighting the fundamental role that emotions play in such a care, which is not mere repair of a fault (reparative care), but an active and constant attending to self- and others' improvement, it is emphasized how the Socratic care that is enacted in the Selected Dialogues exhibits marked religious qualities, which make Socrates a kind of priestly and demonic figure, as the reader can infer in particular from the two chapters devoted to the Critique and the Apology, respectively. The intent underlying this focus on the religious and especially initiatory aspects of Socratic care in the Platonic dialogues is, as explained at the beginning of the introduction to this work, to deepen the link between the emotional aspect of self-care, explored in depth by Professor L. Napolitano, and my personal interest in the relationship between philosophy and religion. In the present work this link has been found in the theme of 'aporia; this is interpreted in the introduction and in the following chapters as ritual death, that is, as an 'experience in which the initiate (in this case Socrates' interlocutor) witnesses his own death, that is, the disappearance of the firm attachment to his unreflective opinions. It follows that 'aporia is a positive element of self-care, since this ritual death makes it possible, if it is accepted and not rejected, to get rid of those obstacles from within that prevent one from looking forward to one's own improvement and the pursuit of happiness. Aporia is not only a logical impasse, but also an emotionally very dense moment; it therefore holds together the two fundamental components of this work, the focus on emotions in the Socratic dialogue and the focus on the initiatory aspects with which Plato cloaks this dialogue. Plato alludes to these initiatory aspects from time to time in the selected dialogues by appropriating now from Coribantism (Euthydemus), now from Orphism (Phaedo), now even from the rituals of transition from one age to another (the ephebia, as in the case of the Alcibiades); all these disparate experiences have in common the idea of a ritual death, a liminal phase between one life (the one about to leave) and the new one (about to embark on). In the Socratic dialogue enacted in Plato's works, precisely this initiatory death (the aporia) is II achieved; if the interlocutor accepts it, he or she will progress on the path of self care; if he or she is afraid or annoyed by it, he or she will derive no benefit. The introduction outlines the assumptions on which the following analysis are based: the first is the ritual and initiatory nature of refutation and the characterization of aporia as an emotionally connoted moment; the second, based on the analysis of the first book of the Republic, is the relational nature of caring and thus of the good that caring/caretaking pursues; therefore, one who cares for others necessarily also cares for himself. The intertwining of the ritual and emotional aspects, as well as the communal and relational nature of the good pursued by Socratic caring, is explored throughout the introduction and, more importantly, eight chapters, devoted to Euthydemus, Charmides, Alcibiades I, Lysis, Euthyphro, Apology, Critique, and Phaedo, respectively. In the introduction to the thesis, the reason for the choice of these dialogues is explained and what are the relationships between them in this work. In the conclusion, the scientific and especially moral reasons for the importance of emphasizing the role of emotions in Plato's Socrates and the ritual aspects of it are made clea
Discovering Adaptable Symbolic Algorithms from Scratch
Autonomous robots deployed in the real world will need control policies that
rapidly adapt to environmental changes. To this end, we propose
AutoRobotics-Zero (ARZ), a method based on AutoML-Zero that discovers zero-shot
adaptable policies from scratch. In contrast to neural network adaption
policies, where only model parameters are optimized, ARZ can build control
algorithms with the full expressive power of a linear register machine. We
evolve modular policies that tune their model parameters and alter their
inference algorithm on-the-fly to adapt to sudden environmental changes. We
demonstrate our method on a realistic simulated quadruped robot, for which we
evolve safe control policies that avoid falling when individual limbs suddenly
break. This is a challenging task in which two popular neural network baselines
fail. Finally, we conduct a detailed analysis of our method on a novel and
challenging non-stationary control task dubbed Cataclysmic Cartpole. Results
confirm our findings that ARZ is significantly more robust to sudden
environmental changes and can build simple, interpretable control policies.Comment: Published as a conference paper at International Conference on
Intelligent Robots and Systems (IROS) 2023. See https://youtu.be/sEFP1Hay4nE
for associated video fil
Proceedings of the 8th Workshop on Detection and Classification of Acoustic Scenes and Events (DCASE 2023)
This volume gathers the papers presented at the Detection and Classification of Acoustic Scenes and Events 2023 Workshop (DCASE2023), Tampere, Finland, during 21–22 September 2023
Advanced Sensing, Fault Diagnostics, and Structural Health Management
Advanced sensing, fault diagnosis, and structural health management are important parts of the maintenance strategy of modern industries. With the advancement of science and technology, modern structural and mechanical systems are becoming more and more complex. Due to the continuous nature of operation and utilization, modern systems are heavily susceptible to faults. Hence, the operational reliability and safety of the systems can be greatly enhanced by using the multifaced strategy of designing novel sensing technologies and advanced intelligent algorithms and constructing modern data acquisition systems and structural health monitoring techniques. As a result, this research domain has been receiving a significant amount of attention from researchers in recent years. Furthermore, the research findings have been successfully applied in a wide range of fields such as aerospace, manufacturing, transportation and processes
Causal Reinforcement Learning: A Survey
Reinforcement learning is an essential paradigm for solving sequential
decision problems under uncertainty. Despite many remarkable achievements in
recent decades, applying reinforcement learning methods in the real world
remains challenging. One of the main obstacles is that reinforcement learning
agents lack a fundamental understanding of the world and must therefore learn
from scratch through numerous trial-and-error interactions. They may also face
challenges in providing explanations for their decisions and generalizing the
acquired knowledge. Causality, however, offers a notable advantage as it can
formalize knowledge in a systematic manner and leverage invariance for
effective knowledge transfer. This has led to the emergence of causal
reinforcement learning, a subfield of reinforcement learning that seeks to
enhance existing algorithms by incorporating causal relationships into the
learning process. In this survey, we comprehensively review the literature on
causal reinforcement learning. We first introduce the basic concepts of
causality and reinforcement learning, and then explain how causality can
address core challenges in non-causal reinforcement learning. We categorize and
systematically review existing causal reinforcement learning approaches based
on their target problems and methodologies. Finally, we outline open issues and
future directions in this emerging field.Comment: 48 pages, 10 figure
Efficient Semantic Segmentation for Resource-Constrained Applications with Lightweight Neural Networks
This thesis focuses on developing lightweight semantic segmentation models tailored for resource-constrained applications, effectively balancing accuracy and computational efficiency. It introduces several novel concepts, including knowledge sharing, dense bottleneck, and feature re-usability, which enhance the feature hierarchy by capturing fine-grained details, long-range dependencies, and diverse geometrical objects within the scene. To achieve precise object localization and improved semantic representations in real-time environments, the thesis introduces multi-stage feature aggregation, feature scaling, and hybrid-path attention methods
LIPIcs, Volume 277, GIScience 2023, Complete Volume
LIPIcs, Volume 277, GIScience 2023, Complete Volum
12th International Conference on Geographic Information Science: GIScience 2023, September 12–15, 2023, Leeds, UK
No abstract available
Systematic Approaches for Telemedicine and Data Coordination for COVID-19 in Baja California, Mexico
Conference proceedings info:
ICICT 2023: 2023 The 6th International Conference on Information and Computer Technologies
Raleigh, HI, United States, March 24-26, 2023
Pages 529-542We provide a model for systematic implementation of telemedicine within a large evaluation center for COVID-19 in the area of Baja California, Mexico. Our model is based on human-centric design factors and cross disciplinary collaborations for scalable data-driven enablement of smartphone, cellular, and video Teleconsul-tation technologies to link hospitals, clinics, and emergency medical services for point-of-care assessments of COVID testing, and for subsequent treatment and quar-antine decisions. A multidisciplinary team was rapidly created, in cooperation with different institutions, including: the Autonomous University of Baja California, the Ministry of Health, the Command, Communication and Computer Control Center
of the Ministry of the State of Baja California (C4), Colleges of Medicine, and the College of Psychologists. Our objective is to provide information to the public and to evaluate COVID-19 in real time and to track, regional, municipal, and state-wide data in real time that informs supply chains and resource allocation with the anticipation of a surge in COVID-19 cases. RESUMEN Proporcionamos un modelo para la implementación sistemática de la telemedicina dentro de un gran centro de evaluación de COVID-19 en el área de Baja California, México. Nuestro modelo se basa en factores de diseño centrados en el ser humano y colaboraciones interdisciplinarias para la habilitación escalable basada en datos de tecnologÃas de teleconsulta de teléfonos inteligentes, celulares y video para vincular hospitales, clÃnicas y servicios médicos de emergencia para evaluaciones de COVID en el punto de atención. pruebas, y para el tratamiento posterior y decisiones de cuarentena. Rápidamente se creó un equipo multidisciplinario, en cooperación con diferentes instituciones, entre ellas: la Universidad Autónoma de Baja California, la SecretarÃa de Salud, el Centro de Comando, Comunicaciones y Control Informático.
de la SecretarÃa del Estado de Baja California (C4), Facultades de Medicina y Colegio de Psicólogos. Nuestro objetivo es proporcionar información al público y evaluar COVID-19 en tiempo real y rastrear datos regionales, municipales y estatales en tiempo real que informan las cadenas de suministro y la asignación de recursos con la anticipación de un aumento de COVID-19. 19 casos.ICICT 2023: 2023 The 6th International Conference on Information and Computer Technologieshttps://doi.org/10.1007/978-981-99-3236-
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