Paweł Polak

Looking into the future is always a risky endeavour, but one way to anticipate the possible future shape of AI-driven societies is to examine the visionary works of some sci-fi writers. Not all sci-fi works have such visionary quality, of course, but some of Stanisław Lem’s works certainly do. We refer here to Lem’s works that explore the frontiers of science and technology and those that describe imaginary societies of robots. We therefore examine Lem’s prose, with a focus on the Cyberiad stories, to see what challenges our future technological societies may face when they entrust their lives to AI technology. For example, what questions should we ask, and what questions do we forget to ask, when developing AI systems and allowing these systems to control our lives. The technologically honed minds of our current technocrats are perhaps too limited to guide us into this future, because AI-based technology is relatively unchartered territory, as any new, complex technology is by nature. Lem’s visions of future societies oriented around AI and robotics portray AI technology in a deeper and more nuanced way than the current technological visions offered by our leading technological prophets. Based on Lem’s visions, what is to come may not turn out to be an AI-driven nirvana.

The Polish philosophy of mathematics in the 19th century is not a well-researched topic. For this period, only five philosophers are usually mentioned, namely Jan Śniadecki, Józef Maria Hoene-Wroński, Henryk Struve, Samuel Dickstein, and Edward Stamm. This limited and incomplete perspective does not allow us to develop a well-balanced picture of the Polish philosophy of mathematics and gauge its influence on 19th- and 20th-century Polish philosophy in general. To somewhat complete our picture of the history of the Polish philosophy of mathematics in those times, we here present the profiles of some lesser-known Polish Romantic philosophers of the 19th century, namely Karol Libelt, Bronisław Trentowski, and Józef Kremer. We discuss their contributions to the philosophy of mathematics and their metaphysical perspectives, and we also show how their metaphysical ideas have found some continuity in the studies of some Catholic philosophers.

Stanisław Lem is mostly known as a sci-fi writer and not widely perceived as a visionary of the cyber age, despite the fact that he foresaw the future of information technology better than most scientific experts. Indeed, his visions of future information-based societies have proved to be remarkably accurate. Lem’s stories fuse together elements of fantasy, philosophy, and science, but what we can really learn from them is the nature of humanity, technology, and philosophy, as well as the values of technological prophecies. Moreover, Lem gave birth to, without naming it as such, the concept of philosophy in technology, which is a perspective on technology and philosophy that explores the deep implicit philosophical foundations of technology and humanity.

We argue that the Internet is, and is acting as, an EA because it shapes our belief systems, our worldviews. We explain key concepts for this discussion and provide illustrative examples to support our claims. Furthermore, we explain why recognising the Internet as an EA is important for Internet users and society in general. We discuss several ways in which the Internet influences the choices, beliefs, and attitudes of its users, and we compare this effect with those of psychological conditioning and brainwashing techniques. Finally, we present examples where the Internet’s epistemic agency acts at scale, affecting large portions of society rather than individuals.

The Polish philosophy of mathematics in the 19th century had its origins in the Romantic period under the influence of the then-predominant idealist philosophies. The decline of Romantic philosophy precipitated changes in general philosophy, but what is less well known is how it triggered changes in the philosophy of mathematics. In this paper, we discuss how the Polish philosophy of mathematics evolved from the metaphysical approach that had been formed during the Romantic era to the more modern positivistic paradigm. These evolutionary changes are attributed to the philosophers Henryk Struve, Antoni Molicki and Julian Ochorowicz, and mathematicians Karol Hertz and Samuel Dickstein. We also show how implicit ideas (i.e., those not declared openly) from the area between the philosophy of science and general philosophy played a crucial role in the paradigm shift in the Polish philosophy of mathematics.

Modelowanie komputerowe odgrywa istotną rolę we współczesnej nauce. Epistemologiczna rola, jaką odgrywają takie modele oraz prowadzone na ich bazie symulacje skłaniają do postawienia pytań o możliwe użycie podobnych metod w filozofii. Pomysły wykorzystania narzędzi matematycznych do sformułowania koncepcji filozoficznych sięgają czasów Barucha Spinozy i Isaaca Newtona. Newtonowska filozofia przyrody stała się przykładem udanego zastosowania matematycznych rozważań do opisu przyrody na poziomie fundamentalnym. Oczywiście podejście Newtona otworzyło zarówno nowe obszary badań w fizyce, jak i stało się źródłem dla nowych rozważań o rzeczywistości fizycznej. Według Michała Hellera niektóre teorie fizyczne można traktować jako specyficzne formalizacje koncepcji filozoficznych. Modelowanie komputerowe w filozofii może być traktowane jako rozszerzenie tej idei, co będę starał się ukazać w niniejszym artykule. Będę również rozważał rolę modelowania komputerowego jako źródła nowych metafor filozoficznych zgodnie z koncepcją technologii definiującej D. J. Boltera. Rozważania te wiodą do konkluzji mówiącej, że w metodologii filozofii zachodzą istotne zmiany. Nowe podejście nie sugeruje odrzucenia bądź zanegowania dotychczasowych metod, a wskazuje raczej nowe narzędzie analityczne filozofii i źródło inspirujących metafor.

This article is an overview of the philosophy of informatics with a special regard to some Polish philosophers. It juxtaposes the informationistic worldview with the long-prevailing mechanical conceptualization of nature before introducing the metaphysical perspective of the information revolution in sciences. The article shows also how ontic pancomputationalism – regarded as an update to structural realism – could enrich the philosophical research in some classical topics. The paper concludes with a discussion of the philosophy of Jan Salamucha, a philosopher from the Cracow Circle whose ideas could be inspiring for today’s philosophy of informatics in Cracow.

This paper presents Michael Heller’s notion of “philosophy in science” and re-introduces Michael Heller’s classical text that first presented this concept of philosophy entitled How is “philosophy in science” possible?. The paper discusses the historical context of Heller’s idea as it emerged from the discussions and works of the Krakow philosophical scene and discusses the basic tenants of this philosophy, its analytic character, the role of intellectual tradition in the development of this philosophy, and the critical role played by an interdisciplinary dialogue between philosophy, science, and theology. Despite the idea of philosophy in science having emerged about 40 years ago, this concept still inspires and fuels innovative research. The notion of “philosophy in science” lies at the foundations of the philosophy published in two journals: Philosophical Problems in Science and Philosophy in Science.

Attempts to establish a dialogue between the natural sciences and theology were made in the 20th century along with, among other things, the arrival of new groundbreaking theories in physics, but these attempts met with many content-related and methodological challenges. Philosophy, which plays an essential role as an intermediary in this relationship, has often proven to be a significant obstacle. The failure of neo-Thomism’s reception to Einstein’s theory in Poland led the Polish cosmologist, philosopher, and theologian Michael Heller to introduce the concept of philosophy in science as a possible basis for dialogue. It proved fruitful, and years later, Heller was awarded the Templeton Prize for building bridges between science and theology. As it later transpired, the notion of philosophy in science has considerable intellectual potential for enriching the dialogue between natural sciences and theology. This article briefly discusses some examples of how the theory of relativity was received by some Polish neo-Thomists. Furthermore, the paper presents the sources of inspiration for Heller’s approach and the benefits it offers. Finally, another project that he named the theology of science is also discussed.

This article presents the evolution of philosophical and methodological considerations concerning empiricism in computer/computing science. In this study, we trace the most important current events in the history of reflection on computing. The forerunners of Artificial Intelligence H.A. Simon and A. Newell in their paper Computer Science As Empirical Inquiry started these considerations. Later the concept of empirical computer science was developed by S.S. Shapiro, P. Wegner, A.H. Eden and P.J. Denning. They showed various empirical aspects of computing. This led to a view of the science of computing - the science of general scope. Some interesting contemporary ways towards a generalized perspective on computations were also shown.

In this paper, we examine the meta-ontology of AI systems with human-level intelligence, with us denoting such AI systems as AI E. Meta-ontology in philosophy is a discourse centered on ontology, ontological commitment, and the truth condition of ontological theories. We therefore discuss how meta-ontology is conceptualized for AI E systems. We posit that the meta-ontology of AI E systems is not concerned with computational representations of reality in the form of structures, data constructs, or computational concepts, while the ontological commitment of AI E systems is directed toward what exists in the outside world. Furthermore, the truth condition of the ontology (which is meta-ontological assumption) of AI E systems does not require consistency with closed conceptual schema or ontological theories but rather with reality, or in other words, “what is the world” (Smith, 2019, p.57). In addition, the truth condition of AI E systems is verified through operational success rather than by coherence with theories. This work builds on ontological postulates about AI systems that were formulated by Brian Cantwell Smith (2019).

Social robotics are autonomous robots or Artificial Moral Agents (AMA), that will interact respect and embody human ethical values. However, the conceptual and practical problems of building such systems have not yet been resolved, playing a role of significant challenge for computational modeling. It seems that the lack of success in constructing robots, ceteris paribus, is due to the conceptual and algorithmic limitations of the current design of ethical robots. This paper proposes a new approach for developing ethical capacities in robotic systems, one based on the concept of Aristotelian phronesis. Phronesis in principle reflexes closer human ethics than the ethical paradigms we employ today in ethical robotics. This paper describes the essential features of phronesis and proposes a high-level architecture for implementing phronetic principles in autonomous robots. Phronetic robotics is in its early stages of conceptualization, so many of the presented ideas are speculative and require further research.2.

This review article discusses Andrzej Bielecki’s book _Models of Neurons and Perceptrons: Selected Problems and Challenges_, as published by Springer International Publishing. This work exemplifies “philosophy in science” by adopting a broad, multidisciplinary perspective for the issues related to the simulation of neurons and neural networks, and the author has addressed many of the important philosophical assumptions that are entangled in this area of modeling. Bielecki also raises several important methodological issues about modeling. This book is recommended for any philosophers who wish to learn more about the current state of neural modeling and find inspiration for a deeper philosophical reflection on the subject.

This review article discusses the book of Roman Krzanowski, _Ontological Information: Information in the Physical World_, which is published by World Scientific. Krzanowski’s book makes a very important contribution to the contemporary discussion about the nature of information. The author analyzes the concept of ontological information and its uses in the works of scientists from various disciplines, resulting in an innovative and inspiring analysis that every philosopher involved in the philosophy of information should read.