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Reconciles armchair theorising about the semantics-pragmatics interface with hypotheses about cognitive architecture. This book concerns with the cognitive counterparts of lexical meanings. It also explores the links between moods and forces. It looks at the epistemological status of semantic theory from the point of view of human psychology.
This book explores the relationship between schizophrenia and common sense. It approaches this theme from a multidisciplinary perspective. Coverage features contributions from phenomenology, cognitive neuroscience, philosophy of mind, psychology, and social cognition. The contributors address the following questions: How relevant is the loss of common sense in schizophrenia? How can the study of schizophrenia contribute to the study of common sense? How to understand and explain this loss of common sense? They also consider: What is the relationship of practical reasoning and logical formal reasoning with schizophrenia? What is the relationship between the person with a diagnosis of schizophrenia and social values? Chapters examine such issues as rationality, emotions, self, and delusion. In addition, one looks at brain structure and neurotransmission. Others explore phenomenological and Wittgensteinian theories. The book features papers from the Schizophrenia and Common Sense International Workshop, held at New University of Lisbon, November 2015. It offers new insights into this topic and will appeal to researchers, students, as well as interested general readers.
Categorization, the basic cognitive process of arranging objects into categories, is a fundamental process in human and machine intelligence and is central to investigations and research in cognitive science. Until now, categorization has been approached from singular disciplinary perspectives with little overlap or communication between the disciplines involved (Linguistics, Psychology, Philosophy, Neuroscience, Computer Science, Cognitive Anthropology). Henri Cohen and Claire Lefebvre have gathered together a stellar collection of contributors in this unique, ambitious attempt to bring together converging disciplinary and conceptual perspectives on this topic. "Categorization is a key conc...
The issue of Cancers Journal entitled “Role of Medical Imaging in Cancers” presents a detailed summary of evidences about molecular imaging, including the role of computed tomography (CT), magnetic resonance imaging (MRI), single photon emission tomography (SPET) and positron emission tomography (PET) or PET/CT or PET/MR imaging in many type of tumors (i.e. sarcoma, prostate, breast and others), motivating the role of these imaging modalities in different setting of disease and showing the recent developments, in terms of radiopharmaceuticals, software and artificial intelligence in this field. The collection of articles is very useful for many specialists, because it has been conceived for a multidisciplinary point of view, in order to drive to a personalized medicine.
The volume honours Eva Picardi – her philosophical views and interests, as well as her teaching – collecting eighteen essays, some by former students of hers, some by colleagues with whom she discussed and interacted. The themes of the volume encompass topics ranging from foundational and historical issues in the philosophy of language and the philosophy of logic and mathematics, as well as issues related to the recent debates on rationality, naturalism and the contextual aspects of meaning. The volume is split into three sections: one on Gottlob Frege’s work – in philosophy of language and logic –, taking into account also its historical dimension; one on Donald’s Davidson’s work; and one on the contextualism-literalism dispute about meaning and on naturalist research programmes such as Chomsky’s.
The present collection represents an attempt to bring together several contributions to the ongoing debate pertaining to supervenience of the normative in law and morals and strives to be the first work that addresses the topic comprehensively. It addresses the controversies surrounding the idea of normative supervenience and the philosophical conceptions they generated, deserve a recapitulation, as well as a new impulse for further development. Recently, there has been renewed interest in the concepts of normativity and supervenience. The research on normativity – a term introduced to the philosophical jargon by Edmund Husserl almost one hundred years ago – gained impetus in the 1990s t...
This book constitutes the refereed joint proceedings of the 1st International Workshop on Ethical & Philosophical Issues in Medical Imaging (EPIMI 2022); the 12th International Workshop on Multimodal Learning and Fusion Across Scales for Clinical Decision Support (ML-CDS 2022) and the 2nd International Workshop on Topological Data Analysis for Biomedical Imaging (TDA4BiomedicalImaging 2022), held in conjunction with the 25th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2022, in Singapore, in September 2022. EPIMI includes five short papers about various humanistic aspects of medical image computing and computer-assisted interventions. The ML-CDS papers discuss machine learning on multimodal data sets for clinical decision support and treatment planning. The TDA papers focus on Topological Data Analysis: a collection of techniques and tools that have matured from an increasing interest in the role topology plays in machine learning and data science.
This book constitutes the refereed proceedings of the 12th International Workshop on Clinical Image-Based Procedures, CLIP 2023, the First MICCAI Workshop on Fairness of AI in Medical Imaging, FAIMI 2023, and the Second MICCAI Workshop on the Ethical and Philosophical Issues in Medical Imaging, EPIMI 2023, held in conjunction with MICCAI 2023, in October 2023. CLIP 2023 accepted 5 full papers and 3 short papers form 8 submissions received. It focuses on holistic patient models for personalized healthcare with the goal to bring basic research methods closer to the clinical practice. For FAIMI 2023, 19 full papers have been accepted from 20 submissions. They focus on creating awareness about potential fairness issues that can emerge in the context of machine learning. And for EPIMI 2023, 2 papers have been accepted from 5 submissions. They investigate questions that underlie medical imaging research at the most fundamental level.