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Wyświetlanie 1-15 z 693
Tytuł:
The road to conscious machines: AI through failed ideas
Autorzy:
Krzanowski, Roman
Powiązania:
https://bibliotekanauki.pl/articles/1943050.pdf
Data publikacji:
2021-11-07
Wydawca:
Copernicus Center Press
Tematy:
artificial intelligence
history of artificial intelligence
artificial intelligence paradigms
future of artificial intelligence
Opis:
Presented here is a review of the book by Michael Wooldridge The Road to Conscious Machines: The Story of AI. The book was published in 2021 by Pelican Publishing Company. The book presents a philosophical exploration of the AI-related quest to understand the essence of our minds, ethics, and consciousness. Nonetheless, the book is unconventional as it focuses on failures of past AI programs rather than on AI success stories. The author also indicates the possible pathways to develop new, more efficient AI paradigms. The short technical section at the end of the book offers more in-depth information on topics like Prolog, Bayesian, and deep neural networks.
Źródło:
Zagadnienia Filozoficzne w Nauce; 2021, 70; 171-181
0867-8286
2451-0602
Pojawia się w:
Zagadnienia Filozoficzne w Nauce
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Jeszcze raz o ucieleśnionej sztucznej inteligencji
Embodied artificial intelligence once again
Autorzy:
Sarosiek, Anna
Powiązania:
https://bibliotekanauki.pl/articles/690932.pdf
Data publikacji:
2017
Wydawca:
Copernicus Center Press
Tematy:
artificial intelligence
good old-fashioned artificial intelligence
embodied artificial intelligence
embodied mind
Opis:
Book review of: Vincent C. Müller (ed.), Fundamental issues of artificial intelligence, Springer International Publishing AG, 2016, pp. 570.
Recenzja książki: Vincent C. Müller (red.), Fundamental issues of artificial intelligence, Springer International Publishing AG, 2016, ss. 570.
Źródło:
Zagadnienia Filozoficzne w Nauce; 2017, 63; 231-240
0867-8286
2451-0602
Pojawia się w:
Zagadnienia Filozoficzne w Nauce
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Nienaturalistyczne metodologie we współczesnej praktyce
Non-Naturalistic Methodologies in Modern Practice
Autorzy:
Bartlett, Jonathan
Holloway, Eric
Powiązania:
https://bibliotekanauki.pl/articles/553442.pdf
Data publikacji:
2016
Wydawca:
Uniwersytet Zielonogórski. Instytut Filozofii
Tematy:
naturalizm metodologiczny
dualizm metodologiczny
austriacka ekonomia
ludzka komputacja
sztuczna sztuczna inteligencja
filozofia moralna
biologia systemowa
zasady inżynieryjne
inżynieria odwrotna
methodological naturalism
methodological dualism
Austrian economics
human computation
artificial artificial intelligence
moral philosophy
systems biology
engineering principles
reverse engineering
Opis:
W niektórych dziedzinach istnieją już alternatywy dla naturalizmu metodologicznego. Jednakże niewiele osób spoza danej dziedziny zna te alternatywy lub wie, jak są wykorzystywane. Niekiedy nawet sami przedstawiciele tych dziedzin stosują te nienaturalistyczne metodologie, nie wiedząc, że nie są one spójne z naturalizmem metodologicznym. W artykule dokonujemy krótkiego przeglądu dziedzin, w których — zgodnie z naszą wiedzą — występują metodologie niezależne od naturalizmu.
Some fields already incorporate alternatives to methodological naturalism. However, few people outside the field are familiar with these alternatives or how they are used. Sometimes these non-naturalistic methodologies are being used without the participants’ cognizance that the methodology is not methodologically naturalistic. Here, we show a smattering of fields that we are aware of that have touched upon methodologies that don’t depend on naturalism.
Źródło:
Filozoficzne Aspekty Genezy; 2016, 13; 101-117
2299-0356
Pojawia się w:
Filozoficzne Aspekty Genezy
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Artificial Intelligence: opportunities and concerns in the era of Big Data. Ethical and practical issues with decision-making and Generative AI in the era of ChatGPT
Sztuczna inteligencja: możliwości i obawy w erze Big Data. Etyczne i praktyczne kwestie związane z podejmowaniem decyzji i generatywną sztuczną inteligencją w erze ChatGPT
Autorzy:
Varvarà, Giulia
Powiązania:
https://bibliotekanauki.pl/articles/32388079.pdf
Data publikacji:
2023
Wydawca:
Fundacja PSC
Tematy:
Artificial intelligence
Ethics
Generative artificial intelligence
Data-driven decisions
Opis:
Artificial Intelligence has made impressive progress in the past few decades, and, especially in the last couple of years, so many different systems able to simulate human response in a very realistic and coherent way have been made available to the general public. This has opened the road to new possibilities for the use of AI in a variety of contexts, starting from the use of generative AI to the shortening of otherwise long working tasks (such as programming). However, it also created unforeseen issues that have yet to be addressed, since there is a lack of legal and ethical guidelines for the use of these new AI tools. This article analyses some of the most controversial applications of these new AI systems, highlighting both problems and ethical concerns, as well as the possible ways in which they can be dealt with in the future.
Źródło:
Alcumena. Pismo Interdyscyplinarne; 2023, 2(14); 85-100
2719-9851
Pojawia się w:
Alcumena. Pismo Interdyscyplinarne
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Świat pod lupą fenomenologa
The world under the microscope of a phenomenologist
Autorzy:
Psica, Sylwia
Powiązania:
https://bibliotekanauki.pl/articles/690930.pdf
Data publikacji:
2017
Wydawca:
Copernicus Center Press
Tematy:
phenomenology
artificial intelligence
Opis:
Book review of: Aleksandra K. Przegalińska, Istoty wirtualne. Jak fenomenologia zmieniła sztuczną inteligencję, Wydawnictwo Universitas, Kraków 2016, ss. 268.
Recenzja książki: Aleksandra K. Przegalińska, Istoty wirtualne. Jak fenomenologia zmieniła sztuczną inteligencję, Wydawnictwo Universitas, Kraków 2016, ss. 268.
Źródło:
Zagadnienia Filozoficzne w Nauce; 2017, 63; 241-248
0867-8286
2451-0602
Pojawia się w:
Zagadnienia Filozoficzne w Nauce
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Mobile robot navigation with the use of semantic map constructed from 3D laser range scans
Autorzy:
Siemiątkowska, B.
Szklarski, J.
Gnatowski, M.
Powiązania:
https://bibliotekanauki.pl/articles/206413.pdf
Data publikacji:
2011
Wydawca:
Polska Akademia Nauk. Instytut Badań Systemowych PAN
Tematy:
artificial intelligence
robotics
mapping
Opis:
We describe a system allowing a mobile robot equipped with a 3D laser range finder to navigate in the indoor and outdoor environment. A global map of the environment is constructed, and the particle filter algorithm is used in order to accurately determine the position of the robot. Based on data from the laser only, the robot is able to recognize certain classes of objects like a floor, a door, a washbasin, or a wastebasket, and places like corridors or rooms. For complex objects, the recognition process is based on the Haar feature identification. When an object is detected and identified, its position is associated with the appropriate place in the global map, making it possible to give orders to the robot with the use of semantic labels, e.g., "go to the nearest wastebasket ". The obstaclefree path is generated using a Cellular Neural Network, accounting for travel costs with distance or ground quality. This path planning method is fast and in comparison with the potential field method it does not suffer from the local minima problem. We present some results of experiments performed in a real indoor environment.
Źródło:
Control and Cybernetics; 2011, 40, 2; 437-453
0324-8569
Pojawia się w:
Control and Cybernetics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Artificial Intelligence in science and everyday life, its application and development prospects
Autorzy:
Słapczyński, Tomasz
Powiązania:
https://bibliotekanauki.pl/articles/19233635.pdf
Data publikacji:
2022-12-30
Wydawca:
Wyższa Szkoła Finansów i Prawa w Bielsku-Białej
Tematy:
Artificial Intelligence application
Rules of Artificial Intelligence
Artificial Intelligence programming
AI in business
AI in law
AI in Politics
Opis:
The main purpose of the article is to determine the impact of artificial intelligence on society and industry. What role the development of this technology will play on the economy and society in the future. The question should be asked: how will artificial intelligence affect society and what will be the effects of its increasingly widespread use and whether it poses any threats. The main methods used in the article are the analysis of scientific literature, synthesis of collected facts and knowledge obtained from official data, e.g. documentation of programming languages. The main conclusions from the paper is the growing importance of AI for society and its development, which will affect into various areas of life.
Źródło:
Zeszyty Naukowe Wyższej Szkoły Finansów i Prawa w Bielsku-Białej; 2022, 26, 4; 78-85
2543-9103
2543-411X
Pojawia się w:
Zeszyty Naukowe Wyższej Szkoły Finansów i Prawa w Bielsku-Białej
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Research and applications of artificial neural networks in spatial analysis: Review
Autorzy:
Garczyńska, Ilona
Powiązania:
https://bibliotekanauki.pl/articles/29521035.pdf
Data publikacji:
2023
Wydawca:
Akademia Morska w Szczecinie. Wydawnictwo AMSz
Tematy:
spatial analysis
GIS
artificial neural network
artificial intelligence
geosciences
Opis:
The conducted review presents the possibility of using artificial neural networks in sectors related to environmental protection, agriculture, forestry, land uses, groundwater and bathymetric. Today there is a lot of research in these areas with different research methodologies. The result is the improvement of decision-making processes, design, and prediction of certain events that, with appropriate intervention, can prevent severe consequences for society. The review shows the capabilities to optimize and automate the processes of modeling urban and land dynamics. It examines the forecasts of assessment of the damage caused by natural phenomena. Detection of environmental changes via the analysis of certain time intervals and classification of objects on the basis of different images is presented. The practical aspects of this work include the ability to choose the correct artificial neural network model depending on the complexity of the problem. This factor is a novel element since previously reviewed articles did not encounter a study of the correlation between the chosen model or algorithm, depending on the use case or area of the problem. This article seeks to outline the reason for the interest in artificial intelligence. Its purpose is to find answers to the following questions: How can artificial neural networks be used for spatial analysis? What does the implementation of detailed algorithms depend on? It is proved that an artificial intelligence approach can be an effective and powerful tool in various domains where spatial aspects are important.
Źródło:
Zeszyty Naukowe Akademii Morskiej w Szczecinie; 2023, 74 (146); 35-45
1733-8670
2392-0378
Pojawia się w:
Zeszyty Naukowe Akademii Morskiej w Szczecinie
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Evidence from Artificial Intelligence in General Administrative Procedure
Autorzy:
Dubiński, Łukasz
Powiązania:
https://bibliotekanauki.pl/articles/28672992.pdf
Data publikacji:
2022
Wydawca:
Uniwersytet im. Adama Mickiewicza w Poznaniu
Tematy:
artificial intelligence
evidence
administrative procedure
Opis:
Artificial intelligence is becoming an element of everyday life, and also a part of administrative proceedings. The legislator systematically adds regulations that allow public administration bodies to use artificial intelligence. At the same time, the Code of Administrative Procedure has not been amended in this respect. The article tries to establish what artificial intelligence evidence is. In addition, the issue of whether the rules on administrative evidence should be changed to cover the use of AI evidence is examined.
Źródło:
Adam Mickiewicz University Law Review; 2022, 14; 251-280
2450-0976
Pojawia się w:
Adam Mickiewicz University Law Review
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The identification of model parameters for a semi-empirical model of working process in the compression-ignition engine
Autorzy:
Brzozowski, K.
Nowakowski, J.
Powiązania:
https://bibliotekanauki.pl/articles/243901.pdf
Data publikacji:
2010
Wydawca:
Instytut Techniczny Wojsk Lotniczych
Tematy:
modelling
working cycle
artificial intelligence
Opis:
The paper concerns the identification process applied for a semi-empirical model of working process in the CI engine. The identification is based on pressure courses in the cylinder recorded during the experimental measurements on the test stand and is performed for estimation of values of the model parameters. Appropriate estimated values of the model parameters ensure minimization of the difference between measured and modelled pressure courses in the cylinder. The identification process can be divided into two stages. The first stage concerns identification of discrete values of the model parameters for a set of discrete engine operating conditions. The task of discrete identification is formulated as a dynamic optimisation task which is sohed using a genetic algorithm. The accuracy of the identification process is evaluated by comparison of measured and calculated values of main parameters which characterize the working cycle such as: the mean indicated pressure, thermal efficiency, the mean indicated pressure in working part of the cycle, maximal pressure of the cycle, the mass of the medium in the cylinder and the crankshaft angle for which the maximal pressure occurred. The second stage concerns generalization of the results for any technically possible engine operating conditions which is sohed by means of approximation. Feed-forward multilayer artificial neural networks are usedfor the approximation. The accuracy of the identification and some examples of verification of the model predictions are presented as well.
Źródło:
Journal of KONES; 2010, 17, 3; 41-48
1231-4005
2354-0133
Pojawia się w:
Journal of KONES
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Some effect of the unbalanced development of human intelligence: from trans-monkeys to trans-humans
Pewien skutek niezrównoważonego rozwoju ludzkiej inteligencji: od transmałp do transludzi
Autorzy:
Sztumski, Wiesław
Powiązania:
https://bibliotekanauki.pl/articles/2081649.pdf
Data publikacji:
2021-09-22
Wydawca:
Państwowa Wyższa Szkoła Zawodowa w Raciborzu
Tematy:
artificial intelligence
transhuman
transhumanity
posthuman
Opis:
The article is devoted to the effects of the unsustainable development of human intelligence that began with the emergence of artificial intelligence do by the imbalance between the slow pace of development of natural (biological) intelligence and the accelerate pace of development of artificial (machine) intelligence. First, in a breakthrough phase of the anthropogenesis process, the development of natural intelligence transformed hominids, which had exceeded their natural abilities, into transhominids, that is, into humans. Now, the development of artificial intelligence transforms humans, which exceed their natural (innate) abilities into so-called transhumans. The progress of artificial intelligence is making a real revolution not only in the field of technology, but also in the economy, medicine, agriculture, transport, finance, insurance, trade, education, work, etc. Thanks to this, our world and we in it are changing at a dizzying pace. Artificial intelligence has become strategically the most important technology of the twenty-first century. The country with the most advanced artificial Therefore, the superpowers accelerate the development of artificial intelligence in competing for global domination. This implies a huge increase in financial outlays, which then are missing for the implementation of other important tasks, such, as for example, to fight poverty. Along with the development of artificial intelligence, its alienation progresses and this causes the dehumanization of people. The author presents a number of benefits and threats resulting from the use of artificial intelligence, which do not balance. Among the greatest threats, they are transhuman and artificial super-intelligence embodied in a super- robot. “The full development of artificial intelligence could spell the end of the human race. Man, who is limited by the slow evolution of biological intelligence, will not be able to compete with the transhuman, whose artificial intelligence is developing faster. He needs to be replaced by a transhuman”.1 Artificial intelligence is able to make man equal to God. It is not difficult to imagine what would happen if such a robot became the "god" who would rule the world and the cosmos, and on whose decisions or whims the fate of individuals, humanity, the world and the survival of our species would depend.
Źródło:
Eunomia – Rozwój Zrównoważony – Sustainable Development; 2021, 1(100); 159-170
1897-2349
2657-5760
Pojawia się w:
Eunomia – Rozwój Zrównoważony – Sustainable Development
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Wykorzystanie techniki AdaBoost w modelach opartych na regresji z wykorzystaniem sztucznej inteligencji
Use of AdaBoost technique in regression based models using artificial intelligence
Autorzy:
Wołoszyn, Jacek
Powiązania:
https://bibliotekanauki.pl/articles/445996.pdf
Data publikacji:
2019
Wydawca:
Uniwersytet Rzeszowski
Tematy:
AdaBoost
sztuczna inteligencja
artificial intelligence
Opis:
Artykuł opisuje wykorzystanie sztucznej inteligencji w obliczeniach regresyjnych. Modele zbudowane w sposób tradycyjny oparte na klasycznych założeniach dostarczają możliwie precy-zyjnych informacji. Sam proces budowy modelu opiera się na wstępnym wyborze zmiennych wykorzystanych do jego tworzenia. Umiejętna selekcja zmiennych ma istotny wpływ na uzyskane parametry. Wykorzystując rozwiązanie przedstawione w tej pracy otrzymujemy model ze wstępnie dobranym optymalnym zbiorem treningowym. W kolejnych rozdziałach omówiono istotę analityki predykcyjnej, proces uczenia maszyno-wego, budowę drzewa decyzyjnego, pokazano przykład regresji wykorzystującego AdaBoost.
This article describes the use of artificial intelligence in regression calculations. Models built in a traditional manner based on classical assumptions provide the most precise information possi-ble. The model building process itself is based on the initial selection of variables used to create it. Skillful selection of variables has a significant impact on the obtained parameters. Using the solu-tion presented in this work, we get a model with a pre-selected optimal training set. The following chapters discuss the essence of predictive analytics, the machine learning pro-cess, the construction of a decision tree, an example of regression using AdaBoost.
Źródło:
Dydaktyka informatyki; 2019, 14; 162-169
2083-3156
Pojawia się w:
Dydaktyka informatyki
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Integration of product design and manufacturing with the use of artificial intelligent methods
Autorzy:
Kutschenreiter-Praszkiewicz, I.
Powiązania:
https://bibliotekanauki.pl/articles/99801.pdf
Data publikacji:
2011
Wydawca:
Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych
Tematy:
product design
manufacturing
artificial intelligence
Opis:
Product and process design is time- and cost consuming [15]. To reduce the cost of product development, it is necessary to integrate product and process design. The proposed product planning approach integrates activities involved in product design and manufacturing process. The aim of this paper is to develop a method of knowledge integration about customer needs, product and process characteristics. The range of analyses is limited to mechanical product type manufacturing for institutional customers. Customer needs are focused on functional characteristics of the product and the trade characteristics include product price, timing and warranty. Integration of functional requirements, product and process characteristics is needed to select the best product from a catalogue and adapt it to particular customer needs. From the given set of products, where a product is described by a set of attributes, the subset is chosen which roughly satisfies customer needs. Basing on artificial intelligent (AI) methods, data related to redesign and production processes is estimated.
Źródło:
Journal of Machine Engineering; 2011, 11, No. 1-2; 46-53
1895-7595
2391-8071
Pojawia się w:
Journal of Machine Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A survey on multi-agent based collaborative intrusion detection systems
Autorzy:
Bougueroua, Nassima
Mazouzi, Smaine
Belaoued, Mohamed
Seddari, Noureddine
Derhab, Abdelouahid
Bouras, Abdelghani
Powiązania:
https://bibliotekanauki.pl/articles/2031138.pdf
Data publikacji:
2021
Wydawca:
Społeczna Akademia Nauk w Łodzi. Polskie Towarzystwo Sieci Neuronowych
Tematy:
IDS
CIDS
MAS
artificial Intelligence
Opis:
Multi-Agent Systems (MAS) have been widely used in many areas like modeling and simulation of complex phenomena, and distributed problem solving. Likewise, MAS have been used in cyber-security, to build more efficient Intrusion Detection Systems (IDS), namely Collaborative Intrusion Detection Systems (CIDS). This work presents a taxonomy for classifying the methods used to design intrusion detection systems, and how such methods were used alongside with MAS in order to build IDS that are deployed in distributed environments, resulting in the emergence of CIDS. The proposed taxonomy, consists of three parts: 1) general architecture of CIDS, 2) the used agent technology, and 3) decision techniques, in which used technologies are presented. The proposed taxonomy reviews and classifies the most relevant works in this topic and highlights open research issues in view of recent and emerging threats. Thus, this work provides a good insight regarding past, current, and future solutions for CIDS, and helps both researchers and professionals design more effective solutions.
Źródło:
Journal of Artificial Intelligence and Soft Computing Research; 2021, 11, 2; 111-142
2083-2567
2449-6499
Pojawia się w:
Journal of Artificial Intelligence and Soft Computing Research
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Potential and use of the googlenet ann for the purposes of inland water ships classification
Autorzy:
Bobkowska, Katarzyna
Bodus-Olkowska, Izabela
Powiązania:
https://bibliotekanauki.pl/articles/1573774.pdf
Data publikacji:
2020
Wydawca:
Politechnika Gdańska. Wydział Inżynierii Mechanicznej i Okrętownictwa
Tematy:
ship classification
image classification
geoinformatics
artificial intelligence
artificial neural network
Opis:
This article presents an analysis of the possibilities of using the pre-degraded GoogLeNet artificial neural network to classify inland vessels. Inland water authorities monitor the intensity of the vessels via CCTV. Such classification seems to be an improvement in their statutory tasks. The automatic classification of the inland vessels from video recording is a one of the main objectives of the Automatic Ship Recognition and Identification (SHREC) project. The image repository for the training purposes consists about 6,000 images of different categories of the vessels. Some images were gathered from internet websites, and some were collected by the project’s video cameras. The GoogLeNet network was trained and tested using 11 variants. These variants assumed modifications of image sets representing (e.g., change in the number of classes, change of class types, initial reconstruction of images, removal of images of insufficient quality). The final result of the classification quality was 83.6%. The newly obtained neural network can be an extension and a component of a comprehensive geoinformatics system for vessel recognition.
Źródło:
Polish Maritime Research; 2020, 4; 170-178
1233-2585
Pojawia się w:
Polish Maritime Research
Dostawca treści:
Biblioteka Nauki
Artykuł
Wyświetlanie 1-15 z 693

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