Zobrazeno 1 - 10
of 306
pro vyhledávání: '"ENRICO PONTELLI"'
Publikováno v:
Energies, Vol 17, Iss 15, p 3620 (2024)
This paper provides a survey of the literature on the application of Multi-agent Systems (MAS) technology for Smartgrids. Smartgrids represent the next generation electric network, as communities are developing self-sufficient and environmentally fri
Externí odkaz:
https://doaj.org/article/c7d5c5fdef914267a6da7fe173a212ff
Publikováno v:
Electronic Proceedings in Theoretical Computer Science, Vol 306, Iss Proc. ICLP 2019, Pp 280-294 (2019)
Motivated by the difficulty in presenting computational results, especially when the results are a collection of atoms in a logical language, to users, who are not proficient in computer programming and/or the logical representation of the results, w
Externí odkaz:
https://doaj.org/article/e4b750d9649f46588d73eaad5a7ceb6d
Autor:
Van D Nguyen, Thanh H Nguyen, Abu Saleh Md Tayeen, H Dail Laughinghouse, Luna L Sánchez-Reyes, Jodie Wiggins, Enrico Pontelli, Dmitry Mozzherin, Brian O’Meara, Arlin Stoltzfus
Publikováno v:
Evolutionary Bioinformatics, Vol 16 (2020)
A comprehensive phylogeny of species, i.e., a tree of life, has potential uses in a variety of contexts, including research, education, and public policy. Yet, accessing the tree of life typically requires special knowledge, complex software, or long
Externí odkaz:
https://doaj.org/article/df1f5daea8e54341bcc29bcdba4b088b
Publikováno v:
Evolutionary Bioinformatics, Vol 2009, Iss 5, Pp 47-66 (2009)
Comparative analysis is used throughout biology. When entities under comparison (e.g. proteins, genomes, species) are related by descent, evolutionary theory provides a framework that, in principle, allows N-ary comparisons of entities, while control
Externí odkaz:
https://doaj.org/article/af49fc54195a48d2add1294a2cabfae3
Publikováno v:
Theory and Practice of Logic Programming. 22:770-775
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::05258ad0978c16e99f4c8456c8aa9d25
https://doi.org/10.1017/s1471068422000345
https://doi.org/10.1017/s1471068422000345
Publikováno v:
Integration of Constraint Programming, Artificial Intelligence, and Operations Research ISBN: 9783031332708
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c3f164c0c519f731e179d1089e10b5be
https://doi.org/10.1007/978-3-031-33271-5_22
https://doi.org/10.1007/978-3-031-33271-5_22
Publikováno v:
AIxIA 2022 – Advances in Artificial Intelligence ISBN: 9783031271809
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ffb0aad7fd3f9f3ee7484f984785a2f4
https://doi.org/10.1007/978-3-031-27181-6_9
https://doi.org/10.1007/978-3-031-27181-6_9
Publikováno v:
PRIMA 2022: Principles and Practice of Multi-Agent Systems ISBN: 9783031212024
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::39d5f7033a1aebd5a4f407707c67bbcc
https://doi.org/10.1007/978-3-031-21203-1_33
https://doi.org/10.1007/978-3-031-21203-1_33
Autor:
Enrico Pontelli, Emmanuel Utreras
Publikováno v:
Universal Access in the Information Society. 22:169-184
Computational Thinking (CT) captures the mental processes used to model and solve problems using a computational processes. While often connected to programming, CT is a core problem-solving skill, which has been advocated by educational researchers
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a9d96f0aaba5185772ff54ec5daf3e30
https://doi.org/10.1007/s10209-021-00830-2
https://doi.org/10.1007/s10209-021-00830-2
Publikováno v:
Proceedings of the International Conference on Automated Planning and Scheduling. 20:169-176
In this paper, we develop a heuristic, progression based conformant planner, called CNF, which represents belief states by a special type of CNF formulae, called CNF CNF-state. We define a transition function φCNF for computing the successor belief
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::804c9c9ba757bdca94bbee3a9555a4fd
https://doi.org/10.1609/icaps.v20i1.13425
https://doi.org/10.1609/icaps.v20i1.13425