Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Daniele Gravina"'
Publikováno v:
Educação Profissional e Tecnológica em Revista. 5:5-30
O presente artigo visa mostrar os resultados da aplicação de uma sequência didática (SD) a partir dos fundamentos da Teoria da Aprendizagem Experiencial de Kolb, relacionando a consciência corporal e a aprendizagem. A elaboração da SD contempl
Autor:
Alexey Ozerov, Antonios Liapis, Georgi Kostadinov, Georgios N. Yannakakis, Maritini Kalogerini, Rémi Mignot, Daniele Gravina, Ioannis Kompatsiaris, Birgit Gray, Danae Tsabouraki, Maurizio Montagnuolo, Symeon Papadopoulos, Jesse de Vos, François Schnitzler, Fulvio Negro, Artur Garcia-Saez, Filareti Tsalakanidou, Vasileios Mezaris, Philo van Kemenade
Publikováno v:
IFIP Advances in Information and Communication Technology
17th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI)
17th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI), Jun 2021, Hersonissos, Crete, Greece. pp.81-93, ⟨10.1007/978-3-030-79150-6_7⟩
IFIP Advances in Information and Communication Technology-Artificial Intelligence Applications and Innovations
Artificial Intelligence Applications and Innovations. AIAI 2021. IFIP Advances in Information and Communication Technology
IFIP Advances in Information and Communication Technology ISBN: 9783030791490
AIAI
17th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI)
17th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI), Jun 2021, Hersonissos, Crete, Greece. pp.81-93, ⟨10.1007/978-3-030-79150-6_7⟩
IFIP Advances in Information and Communication Technology-Artificial Intelligence Applications and Innovations
Artificial Intelligence Applications and Innovations. AIAI 2021. IFIP Advances in Information and Communication Technology
IFIP Advances in Information and Communication Technology ISBN: 9783030791490
AIAI
Part 3: AI Impacts/Big Data; International audience; Artificial Intelligence brings exciting innovations in all aspects of life and creates new opportunities across industry sectors. At the same time, it raises significant questions in terms of trust
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a06f259002e64f6e2540cf0163d4f06d
https://hal.inria.fr/hal-03287684
https://hal.inria.fr/hal-03287684
Publikováno v:
IEEE Transactions on Evolutionary Computation. 23:603-616
Quality diversity is a recent family of evolutionary search algorithms which focus on finding several well-performing (quality) yet different (diversity) solutions with the aim to maintain an appropriate balance between divergence and convergence dur
Publikováno v:
GECCO (Companion)
Quality-diversity algorithms focus on discovering multiple diverse and high-performing solutions. MAP-elites is such an algorithm, as it partitions the solution space into bins and searches for the best solution possible for each bin. In this paper,
Publikováno v:
CoG
Quality-diversity (QD) algorithms search for a set of good solutions which cover a space as defined by behavior metrics. This simultaneous focus on quality and diversity with explicit metrics sets QD algorithms apart from standard single- and multi-o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::90d11f37ccfcbb93a666ded437d35c8f
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030343491
GALA
GALA
This paper presents the current state of the online game Iconoscope and analyzes the data collected from almost 45 months of continuous operation. Iconoscope is a freeform creation game which aims to foster the creativity of its users through diagram
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::749f4fec3788127c155d28c42b729744
https://doi.org/10.1007/978-3-030-34350-7_13
https://doi.org/10.1007/978-3-030-34350-7_13
Publikováno v:
GECCO (Companion)
Divergent search is a recent trend in evolutionary computation that does not reward proximity to the objective of the problem it tries to solve. Traditional evolutionary algorithms tend to converge to a single good solution, using a fitness proportio
Autor:
Daniele Gravina, Daniele Loiacono
Publikováno v:
GEM
Design a set of weapons for a competitive first person shooter (FPS) is not an easy task: it involves several challenges, such as balancing, diversity, and novelty. In this paper, we combine procedural content generation and evolutionary computation