Piotr Giza
Biographic Data
| ID | 5087052 |
|---|---|
| NAME | Piotr Giza |
| GIVEN NAMES | Piotr |
| FAMILY NAME | Giza |
| SIGNATURE | GIZA P |
| AFFILIATIONS | Medical University of Lublin |
| ORCID | 0000-0002-4193-0795 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 2 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 1 |
Automated Discovery Systems, part 2: New developments, current issues, and philosophical lessons in machine learning and data science
Automated scientific discovery is a discipline which lies at the boarder of artificial intelligence, natural sciences and philosophy of science, and deals with the application of artificial intelligence methods to scientific discovery. Historically, its origins go back to the 1960s and there have been at least three major research programs in the field, each of them having different objectives, concerns, and methodology: machine learning systems …
Automated discovery systems, part 1: Historical origins, main research programs, and methodological foundations
Automated scientific discovery is a discipline which lies at the boarder of artificial intelligence, natural sciences and philosophy of science, and deals with the application of artificial intelligence methods to scientific discovery. Its origins go back to the end of 1960s when a few AI researchers in the USA turned their attention to a domain often considered the realm of genius–scientific discovery. There have been at least three major resear…
Creativity in Computer Science
The aim of this paper is to briefly explore creative thinking in computer science, and compare it to natural sciences, mathematics or engineering. It is also meant as polemics with some theses of the pioneer work under the same title by Daniel Saunders and Paul Thagard because I point to important motivations in computer science the authors do not mention, and give examples of the origins of problems they explicitly deny. Computer science is a ve…
Automated Discovery Systems, part 2: New developments, current issues, and philosophical lessons in machine learning and data science
Automated scientific discovery is a discipline which lies at the boarder of artificial intelligence, natural sciences and philosophy of science, and deals with the application of artificial intelligence methods to scientific discovery. Historically, its origins go back to the 1960s and there have been at least three major research programs in the field, each of them having different objectives, concerns, and methodology: machine learning systems …
Automated discovery systems, part 1: Historical origins, main research programs, and methodological foundations
Automated scientific discovery is a discipline which lies at the boarder of artificial intelligence, natural sciences and philosophy of science, and deals with the application of artificial intelligence methods to scientific discovery. Its origins go back to the end of 1960s when a few AI researchers in the USA turned their attention to a domain often considered the realm of genius–scientific discovery. There have been at least three major resear…
Creativity in Computer Science
The aim of this paper is to briefly explore creative thinking in computer science, and compare it to natural sciences, mathematics or engineering. It is also meant as polemics with some theses of the pioneer work under the same title by Daniel Saunders and Paul Thagard because I point to important motivations in computer science the authors do not mention, and give examples of the origins of problems they explicitly deny. Computer science is a ve…
Automated Discovery Systems, part 2: New developments, current issues, and philosophical lessons in machine learning and data science
Automated scientific discovery is a discipline which lies at the boarder of artificial intelligence, natural sciences and philosophy of science, and deals with the application of artificial intelligence methods to scientific discovery. Historically, its origins go back to the 1960s and there have been at least three major research programs in the field, each of them having different objectives, concerns, and methodology: machine learning systems …
Automated discovery systems, part 1: Historical origins, main research programs, and methodological foundations
Automated scientific discovery is a discipline which lies at the boarder of artificial intelligence, natural sciences and philosophy of science, and deals with the application of artificial intelligence methods to scientific discovery. Its origins go back to the end of 1960s when a few AI researchers in the USA turned their attention to a domain often considered the realm of genius–scientific discovery. There have been at least three major resear…
Artificial Intelligence (3 works) · Cognitive science (3 works) · Computer Science (3 works) · Epistemology (3 works) · Mathematics (3 works) · Philosophy (3 works) · Psychology (3 works) · Scientific Computing and Data Management (3 works) · Data science (2 works) · Engineering (2 works)