CCL

Összesen 4 találat.
#/oldal:
Részletezés:
Rendezés:

1.

001-es BibID:BIBFORM103527
035-os BibID:(Scopus)85107893496
Első szerző:Bátfai Norbert (informatikus)
Cím:Red Flower Hell: a Minecraft MALMÖ Challenge to Support Introductory Programming Courses? / Norbert Bátfai, Tünde Tutor, Zoltán Bartha, András Czanik, Máté Szabó
Dátum:2021
Megjegyzések:The Red Flower Hell challenge is designed for undergraduate courses, such as introductory programming or artificial intelligence, in which students can learn in a competitive way. The name Red Flower Hell comes from the objective of the challenge because the agent programs to be developed must collect as many red flowers as possible in a battle royale-like gorge in Minecraft created directly for this challenge. The battle royale feature is given by that lava flows down the hillsides in the gorge. In the first round of the challenge, agents only have to deal with lava. In the second round, agents also have to fight various Minecraft monsters, such as zombies or spiders. The agent versus agent fight has not yet been implemented. We have used Project MALMÖ for implementing Red Flower Hell. It is a Minecraft mod created by Microsoft for researching artificial general intelligence. The Red Flower Hell challenge was tested at a High-level programming language course at the University of Debrecen in the spring semester of the 2019/2020 academic year. We present these experiences in this paper.
Tárgyszavak:Műszaki tudományok Informatikai tudományok előadáskivonat
könyvrészlet
Minecraft MALMÖ
programming challenge
education of programming
agent programming
artificial intelligence
Megjelenés:Proceedings of the 1st Conference on Information Technology and Data Science / ed. István Fazekas, András Hajdu, Tibor Tómács. - p. 56-66. -
További szerzők:Tutor Tünde Bartha Zoltán Czanik András Szabó Máté (1994-) (informatikus)
Pályázati támogatás:EFOP-3.6.3-VEKOP-16-2017-00002
EFOP
Internet cím:Intézményi repozitóriumban (DEA) tárolt változat
Borító:

2.

001-es BibID:BIBFORM103525
035-os BibID:(Scopus)85107842870
Első szerző:Bátfai Norbert (informatikus)
Cím:Possible Neural Models to Support the Design of Prime Convo Assistant / Norbert Bátfai, Máté Szabó
Dátum:2021
Megjegyzések:The Prime Convo Assistant initiative is a software development idea intended to examine how we could use the automatic and interactive theorem provers and machine learning methods to generate automatically new sentences in an artificial visual language. The name Prime Convo Assistant is a combination of the Prime Radiant and the internal conversation with ourselves. Isaac Asimov`s psychohistorians used the Prime Radiant device to store psychohistorical equations. The internal conversations come from Julian Jaynes` theory of bicameral mind. Our idea is that the sentences of the visual language in question are initially given in the form of first-order logic formulas. In our previous work, Pasigraphy Rhapsody, we used first-order logic formulas to create visual objects. In the framework of the present work, we primarily conduct literature research and test existing models. On the one hand, in the field of what neural models exist whose input is a first-order logic corpus, and on the other hand, in the field of what deep learning-based solutions help the operation of automatic theorem provers. In addition, in a broader context, we examine the possible relationship between Society 5.0 and esport culture from a kind of robopsychological and robophilosophical point of view.
Tárgyszavak:Műszaki tudományok Informatikai tudományok előadáskivonat
könyvrészlet
Robopsychology
robophilosophy
machine learning
automated theorem proving
Society 5.0
esport
Megjelenés:Proceedings of the 1st Conference on Information Technology and Data Science / ed. István Fazekas, András Hajdu, Tibor Tómács. - p. 46-55. -
További szerzők:Szabó Máté (1994-) (informatikus)
Pályázati támogatás:EFOP-3.6.3-VEKOP-16-2017-00002
EFOP
Internet cím:Intézményi repozitóriumban (DEA) tárolt változat
Szerző által megadott URL
Borító:

3.

001-es BibID:BIBFORM103524
Első szerző:Bátfai Norbert (informatikus)
Cím:Object file system software experiments about the notion of number in humans and machines / Norbert Bátfai, Dávid Papp, Gergő Bogacsovics, Máté Szabó, Viktor Szilárd Simkó, Márió Bersenszki, Gergely Szabó, Lajos Kovács, Ferencz Kovács, Erik Szilveszter Varga
Dátum:2019
ISSN:2247-9228 2601-226X
Megjegyzések:In this paper, we present two types of software experiments, which were performed to study the numerosity classification (subitizing) in humans and machines. These experiments focus on the fields of subitizing and numerosity estimation, where the numerosity of objects placed in an image must be determined. The experiments called ?SMNIST for Humans" are intended to measure the capacity of the Object File System (OFS) in humans. In this type of experiment, the measurement result is well in agreement with the value indicated in cognitive psychology literature. The experiments called ?SMNIST for Machines" serve similar purposes but they investigate existing, well-known deep learning computer programs that are under development (and which were originally developed for other purposes). These measurement results can be interpreted similar to the results from ?SMNIST for Humans". The main thesis of this paper can be formulated as follows: in machines, the image classification artificial neural networks can learn to distinguish numerosities with better accuracy when these numerosities are smaller than the capacity of OFS in humans. Finally, we outline a conceptual framework to investigate the notion of number in humans and machines.
Tárgyszavak:Műszaki tudományok Informatikai tudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
numerosity classification
object file system
machine learning
MNIST
esport
Megjelenés:Cognition, Brain, Behavior. An interdisciplinary journal. - 23 : 4 (2019), p. 257-280. -
További szerzők:Papp Dávid (1997-) (pszichológus) Bogacsovics Gergő (1996-) (informatikus) Szabó Máté (1994-) (informatikus) Simkó Viktor Szilárd Bersenszki Márió (1995-) Szabó Gergely Kovács Lajos Kovács Ferenc Varga Erik Szilveszter
Pályázati támogatás:EFOP-3.6.3-VEKOP-16-2017-00002
EFOP
saját betöltés
Internet cím:Szerző által megadott URL
DOI
Intézményi repozitóriumban (DEA) tárolt változat
Borító:

4.

001-es BibID:BIBFORM094451
035-os BibID:(WoS)000654007400002 (Scopus)85107408358
Első szerző:Bátfai Norbert (informatikus)
Cím:Markov modeling of traffic flow in Smart Cities / Norbert Bátfai, Renátó Besenczi, Péter Jeszenszky, Máté Szabó, Márton Ispány
Dátum:2021
ISSN:1787-5021 1787-6117
Megjegyzések:Modeling and simulating the traffic flow in large urban road networks are important tasks. A mathematically rigorous stochastic model proposed earlier is based on the synthesis of the graph and Markov chain theories. In this model, the transition probability matrix describes the traffic dynamics and its unique stationary distribution approximates the proportion of the vehicles at the segments of the road network. In this paper various Markov models are studied and a simulation method is presented for generating random traffic trajectories on a road network based on the two-dimensional stationary distribution of the models. In a case study we apply our method to the central region of the city of Debrecen by using the road network data from the OpenStreetMap project which is available publicly.
Tárgyszavak:Műszaki tudományok Informatikai tudományok idegen nyelvű folyóiratközlemény hazai lapban
folyóiratcikk
Road network
traffic simulation
discrete time Markov chain
stationary distribution
OpenStreetMap
Megjelenés:Annales Mathematicae et Informaticae. - 53 (2021), p. 21-44. -
További szerzők:Besenczi Renátó (1986-) (mérnökinformatikus) Jeszenszky Péter (1975-) (programtervező matematikus) Szabó Máté (1994-) (informatikus) Ispány Márton (1966-) (informatikus, matematikus)
Pályázati támogatás:EFOP-3.6.1-16-2016-00022
EFOP
TKP2020-NKA-04
Egyéb
Internet cím:Szerző által megadott URL
DOI
Intézményi repozitóriumban (DEA) tárolt változat
Borító:
Rekordok letöltése1