1.

Record Nr.

UNINA9910893169103321

Titolo

Infobrief : Informationen und Nachrichten aus dem Deutschen Ethikrat

Pubbl/distr/stampa

Berlin, 2009-

ISSN

1868-9000

Descrizione fisica

Online-Ressource

Classificazione

PHILOS

Disciplina

100

Soggetti

Zeitschrift

Lingua di pubblicazione

Tedesco

Formato

Materiale a stampa

Livello bibliografico

Periodico

Note generali

Gesehen am 25.04.09

2.

Record Nr.

UNINA9910679871603321

Titolo

International journal of online marketing

Pubbl/distr/stampa

Hershey, PA, : IGI Pub

ISSN

2156-1745

Disciplina

381

Soggetti

Periodicals.

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Periodico



3.

Record Nr.

UNISA996647821803316

Autore

Kind Adrian

Titolo

How Does the Psychiatrist Know? : On the Epistemology of Psychiatric Diagnostic Reasoning

Pubbl/distr/stampa

Bielefeld : , : transcript Verlag, , 2025

©2024

ISBN

9783839476741

3839476747

Edizione

[1st ed.]

Descrizione fisica

1 online resource (0 pages)

Collana

Bioethik / Medizinethik ; ; 7

Altri autori (Persone)

ArndtMaria

Soggetti

PHILOSOPHY / Epistemology

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di contenuto

Frontmatter -- Contents -- Acknowledgments -- 0. Introduction -- 1. Psychiatric Diagnostics -- 2. Modelling, Qualitative Models, and Model-Based Diagnostics -- 3. Diagnostic Reasoning as Modelling -- 5. Fulfilling Desiderata -- 6. Evaluating Alternative Views -- 7. Conclusion -- Sources

Sommario/riassunto

How do clinical psychiatrists arrive at their diagnostic conclusions? Little attention has been directed to this question by philosophers of psychiatry. Adrian Kind presents a systematic, in-depth philosophical investigation into this question and argues that psychiatric diagnostic reasoning can be understood as a model-based reasoning procedure analogous to scientific model-based reasoning. To support this, he draws on ideas from the philosophy of science, psychiatry, cognitive science, and artificial intelligence. This study is an invaluable resource for practicing psychiatrists, philosophers interested in psychiatry, and researchers in artificial intelligence or cognitive science interested in medical cognition.