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pro vyhledávání: '"structural invariants"'
This is the first of a pair of papers devoted to the local invariants of Goursat distributions. The study of these distributions naturally leads to a tower of spaces over an arbitrary surface, called the monster tower, and thence to connections with
Externí odkaz:
http://arxiv.org/abs/2308.09101
Well-established cognitive models coming from anthropology have shown that, due to the cognitive constraints that limit our "bandwidth" for social interactions, humans organize their social relations according to a regular structure. In this work, we
Externí odkaz:
http://arxiv.org/abs/2203.00588
Publikováno v:
In: Aref S. et al. (eds) Social Informatics. SocInfo 2020. Lecture Notes in Computer Science, vol 12467. Springer, Cham
The cognitive constraints that humans exhibit in their social interactions have been extensively studied by anthropologists, who have highlighted their regularities across different types of social networks. We postulate that similar regularities can
Externí odkaz:
http://arxiv.org/abs/2110.06015
Akademický článek
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We consider parameterized concurrent systems consisting of a finite but unknown number of components, obtained by replicating a given set of finite state automata. Components communicate by executing atomic interactions whose participants update thei
Externí odkaz:
http://arxiv.org/abs/2002.07672
Publikováno v:
Systems & Control Letters Volume 145, November 2020, 104778
This contribution deals with energy-based in-domain control of systems governed by partial differential equations with spatial domain up to dimension two. We exploit a port-Hamiltonian system description based on an underlying jet-bundle formalism, w
Externí odkaz:
http://arxiv.org/abs/1907.04705
We consider concurrent systems consisting of a finite but unknown number of components, that are replicated instances of a given set of finite state automata. The components communicate by executing interactions which are simultaneous atomic state ch
Externí odkaz:
http://arxiv.org/abs/1902.02696
Autor:
Sadler, Philipp
This paper examines, if it is possible to learn structural invariants of city images by using only a single reference picture when producing transformations along the variants in the dataset. Previous work explored the problem of learning from only a
Externí odkaz:
http://arxiv.org/abs/1810.08597
Publikováno v:
In Systems & Control Letters November 2020 145
Chirality plays an important role in physics, chemistry, biology, and other fields. It describes an essential symmetry in structure. However, chirality invariants are usually complicated in expression or difficult to evaluate. In this paper, we prese
Externí odkaz:
http://arxiv.org/abs/1711.05866