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Wielki słownik angielsko-polski teraz dostępny w Microsoft Store!

Po sukcesie na platformie Kindle nasz Wielki słownik angielsko-polski jest od dziś dostępny jako aplikacja na system Windows w Microsoft Store.

Co wyróżnia nasz słownik?

  • Największy zakres na świecie: Zawiera aż 1,8 miliona wyrazów, setki tysięcy znaczeń i ponad 200 tysięcy definicji. To o ponad 20% więcej niż w dotychczas dostępnych największych słownikach!
  • Słownictwo specjalistyczne: Ponad 150 dziedzin, w tym szczególnie biznes i finanse. Dzięki współpracy z ekspertem Romanem Kozierkiewiczem nasz słownik zawiera najpełniejsze i najnowsze terminy branżowe.
  • Aktualność językowa: Jedyny wielki słownik angielsko-polski uwzględniający słownictwo XXI wieku. Zadbaliśmy o równowagę między odmianą brytyjską a amerykańską, traktując brytyjską jako podstawową, zgodnie z oficjalnym standardem Unii Europejskiej.

Funkcje aplikacji:

  • Praca w trybie offline: Słownik działa wszędzie – bez połączenia z internetem.
  • Wyszukiwanie haseł: Można łatwo znaleźć potrzebne słowo lub wyrażenie.
  • Ulubione: Można zapisać ważne hasła, by mieć do nich szybki dostęp. Pamięć ludzka nie jest niezawodna!
  • Historia wyszukiwania: Można wrócić do wcześniej wyszukiwanych haseł.
  • Aktywne odnośniki: Można przechodzić między powiązanymi hasłami za pomocą jednego kliknięcia.
  • Anonimowe zgłaszanie uwag: Opinie czytelników są dla nas ważne! Można zgłaszać propozycje nowych haseł lub błędy bez ujawniania swoich danych.
  • Ochrona prywatności: Aplikacja nie gromadzi żadnych danych na temat osób, które z niej korzystają – prywatność jest w pełni chroniona.

Ciągły rozwój i aktualizacje

Nasz słownik to nie tylko ogromna baza danych – to żywy projekt, który stale rozwijamy. Planujemy regularne aktualizacje, a wszystkie przyszłe wersje będą dostępne bezpłatnie dla obecnych użytkowników aplikacji z Microsoft Store.

Cena i dostępność

Aplikacja jest dostępna w promocyjnej cenie 19,49 zł. To niewielka inwestycja w porównaniu z korzyściami, jakie niesie ze sobą posiadanie tak obszernego i zaawansowanego narzędzia językowego.

Co dalej?

Nie zatrzymujemy się na tym etapie! Już wkrótce pojawią się wersje na inne platformy – trwają testy aplikacji na system Android. Dodatkowo pracujemy nad aktualizacją treści słownika w formatach dla czytników Kindle i Pocketbook.

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A Delicate Balancing Act: Integrative Pluralism and the Pursuit of Unified Theories

Item Type Journal Article
Author Marcin Miłkowski
URL https://link.springer.com/article/10.1007/s10699-024-09958-9
Rights 2024 The Author(s)
Pages 1-20
Publication Foundations of Science
ISSN 1572-8471
Date 2024-07-30
Extra Publisher: Springer
DOI 10.1007/s10699-024-09958-9
Accessed 2024-08-05 13:50:37
Library Catalog link.springer.com
Language En
Abstract 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.
Short Title A Delicate Balancing Act

Source: Publications

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Models of Environment

Type Book Section
Editor Roger Frantz
Editor Leslie Marsh
Author Marcin Miłkowski
URL http://link.springer.com/10.1057/9781137442505_13
Place London
Publisher Palgrave Macmillan UK
Pages 227-238
ISBN 978-1-349-56680-8 978-1-137-44250-5
Date 2016
Extra DOI: 10.1057/9781137442505_13
Accessed 2022-12-22 17:09:26
Library Catalog DOI.org (Crossref)
Language en
Book Title Minds, Models and Milieux

Source: Publications

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Testable or bust: theoretical lessons for predictive processing

Type Journal Article
Author Marcin Miłkowski
Author Piotr Litwin
URL https://link.springer.com/10.1007/s11229-022-03891-9
Volume 200
Issue 6
Pages 462
Publication Synthese
ISSN 1573-0964
Date 2022-11-02
Journal Abbr Synthese
DOI 10.1007/s11229-022-03891-9
Accessed 2022-11-04 12:05:41
Library Catalog DOI.org (Crossref)
Language en
Abstract Abstract

The predictive processing (PP) account of action, cognition, and perception is one of the most influential approaches to unifying research in cognitive science. However, its promises of grand unification will remain unfulfilled unless the account becomes theoretically robust. In this paper, we focus on empirical commitments of PP, since they are necessary both for its theoretical status to be established and for explanations of individual phenomena to be falsifiable. First, we argue that PP is a varied research tradition, which may employ various kinds of scientific representations (from theories to frameworks and toolboxes), differing in the scope of empirical commitments they entail. Two major perspectives on PP
qua
cognitive theory may then be distinguished: generalized vs. hierarchical. The first one fails to provide empirical detail, and the latter constrains possible physical implementations. However, we show that even hierarchical PP is insufficiently restrictive to disallow incorrect models and may be adjusted to explain any neurocognitive phenomenon–including non-existent or impossible ones–through flexible adjustments. This renders PP a universal modeling tool with an unrestricted number of degrees of freedom. Therefore, in contrast with declarations of its proponents, it should not be understood as a unifying theoretical perspective, but as a computational framework, possibly informing further theory development in cognitive science.
Short Title Testable or bust

Source: Publications

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Misidentification delusions as mentalization disorders

Type Journal Article
Author Adrianna Smurzyńska
URL https://doi.org/10.1007/s11097-022-09820-y
Publication Phenomenology and the Cognitive Sciences
ISSN 1572-8676
Date 2022-05-25
Journal Abbr Phenom Cogn Sci
DOI 10.1007/s11097-022-09820-y
Accessed 2022-05-26 07:58:37
Library Catalog Springer Link
Language en
Abstract The aim of this article is to analyze those theories that interpret misidentification delusions in terms of mentalization. The hypothesis under examination holds that a mentalization framework is useful for describing misidentification delusions when identification is thought to be partially based on mentalization. The article provides both a characterization and possible interpretations of such delusions, and possible relations between misidentification and mentalization are scrutinized. Whether the mentalization approach may explain or describe such kinds of mental disorders is considered, with the conclusion that while this approach is unsatisfactory, there is some room for future improvement.

Source: Publications

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Piotr Kozak – Thinking with Images

The next meeting of the seminar Philosophy of Cognitive Science is planned for May, 12th, at 10:30 (AM Warsaw, CET). Our guest will be Piotr Kozak(IPS PAS). We will discuss a draft of the Introduction and Chapter 1 from his forthcoming book: Thinking with Images: Imagistic Cognition and Non-propositional Content. For the more interested we also attach Chapter 6.

From Introduction: The main research question of this book is: What is thinking with images? The question is analogical in its form to such questions as ‘what is thinking with language?’ It means that if we can ask whether we can think in or with language, then we can ask whether we can think in or with images.

The question follows from a commonsensical observation: when someone is asked how many windows are in his or her flat, he or she will probably form and inspect a mental image of the flat and count the windows. If an architect designs a house, then he or she designs the house with the help of drawings. If one tries to get from point A to point B, one may use a map.

The examples above are instantiations of what can be called ‘thinking with images’. However, listing examples of imagistic thinking is a relatively easy task. The difficult task is to say exactly what thinking with images is.

Imagistic thinking is understood here in three ways: as a faculty, an act, and a mental state or an event. The faculty of imagistic thinking refers to the capacity of using images in thinking. The act of imagistic thinking is exercising this faculty. The mental state called ‘imagistic thought’ is a product of such an act.

Introduction & Chapter 1Pobierz
Chapter 6Pobierz

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Source: Cognitive Science in Search of Unity

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Without more theory, psychology will be a headless rider

Type Journal Article
Author Witold M. Hensel
Author Marcin Miłkowski
Author Przemysław Nowakowski
URL https://www.cambridge.org/core/product/identifier/S0140525X21000212/type/journal_article
Volume 45
Pages e20
Publication Behavioral and Brain Sciences
ISSN 0140-525X, 1469-1825
Date 2022
Journal Abbr Behav Brain Sci
DOI 10.1017/S0140525X21000212
Accessed 2022-02-10 08:48:42
Library Catalog DOI.org (Crossref)
Language en
Abstract Abstract
We argue that Yarkoni's proposed solutions to the generalizability crisis are half-measures because he does not recognize that the crisis arises from investigators' underappreciation of the roles of theory in experimental research. Rather than embracing qualitative analysis, the research community should make an effort to develop better theories and work toward consistently incorporating theoretical results into experimental practice.

Source: Publications

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Turing’s conceptual engineering

The next meeting of the seminar is planned for February, 17th, at 10:30 (AM Warsaw, CET). Our guest will be Marcin Miłkowski (IPS PAS). We will discuss a draft paper: Turing’s conceptual engineering.

Abstract: Alan Turing’s influence on subsequent research in artificial intelligence is undeniable. His proposed test for intelligence remains influential. In this paper, Turing’s conception of how to understand intelligence is analyzed as an instance of conceptual engineering that rejects the role of the previous linguistic usage but appeals to intuition pumps instead. Even though many conceive of his proposal as a prime case of operationalism or behaviorism, it is more plausibly viewed as a stepping stone toward a future theoretical construal of intelligence. In addition, his own conceptual network is analyzed through the lens of distributional semantics over the corpus of his written work. As it turns out, Turing’s conceptual engineering of the notion of “intelligence” is indeed quite similar to providing a precising definition with the aim of revising the usage of the concept.

Get a Google Meet link by emailing pnowakowski@ifispan.edu.pl

Turing’s conceptual engineering

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Source: Cognitive Science in Search of Unity

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