124 research outputs found
Activating Generalized Fuzzy Implications from Galois Connections
This paper deals with the relation between fuzzy implications and Galois connections, trying to raise the awareness that the fuzzy implications are indispensable to generalise Formal Concept Analysis. The concrete goal of the paper is to make evident that Galois connections, which are at the heart of some of the generalizations of Formal Concept Analysis, can be interpreted as fuzzy incidents. Thus knowledge processing, discovery, exploration and visualization as well as data mining are new research areas for fuzzy implications as they are areas where Formal Concept Analysis has a niche.F.J. Valverde-Albacete—was partially supported by EU FP7 project LiMoSINe, (contract 288024). C. Peláez-Moreno—was partially supported by the Spanish Government-CICYT project 2011-268007/TEC.Publicad
Algebraic analysis of multiple social networks with multiplex
\pkg{multiplex} is a computer program that provides algebraic tools for the
analysis of multiple network structures within the \proglang{R} environment.
Apart from the possibility to create and manipulate multivariate data
representing multiplex, signed, and two-mode networks, this package offers a
collection of functions that deal with algebraic systems ---such as the
partially ordered semigroup, and balance or cluster semirings--- their
decomposition, and the enumeration of bundle patterns occurring at different
levels of the network. Moreover, through Galois derivations between families of
the pairs of subsets in different domains it is possible to analyze affiliation
networks with an algebraic approach. Visualization of multigraphs, different
forms of bipartite graphs, inclusion lattices, Cayley graphs is supported as
well with related packages.Comment: Accepted manuscript at the Journal of Statistical Software with 8
figures in 39 pages. v2 with typo correction
Brains that make revolutions: the neural theory in the French Revolutions (1789-99, 1848-51, 1870-71), Iran (1977-81) and Bolshevik (1917-1924)
This paper work assesses the key aspects of a framework for research on revolutions. Our approach includes a heuristic based on an idea suggested by Marx in the 18th Brumaire of Louis Bonaparte: “The tradition of all dead generations weighs like a nightmare on the brain of the living”. From this maxim of Marx advance on conventional interpretations by postulating that the language and metaphors are a challenge in several respects: (1) The brain is a physical basis for understanding key political revolutions, (2) advances in neuroscience and language (Lakoff/Johnson/Narayanan) have allowed the reconstruction of conceptual frameworks in various fields, including philosophy, mathematics and politics (3) The language expressed in songs, text, flags, emblems, illustrations, slogans, speeches and rumors is key to represent and demonstrate loyalty to the idea of revolution and, more crucially, to “make” the revolution, (4) Metaphors are a powerful rational action in revolutionary processes. One interpretation of these can contribute to decipher, for example, how the brain are activated in neural systems that link past and present, how to operate the symbolic frameworks of language to influence political opinion, how metaphors interact with processes artificial simulation or how metaphors evolve in a revolution from simple metaphors
Brains that make revolutions
This paper work assesses the key aspects of a framework for research on revolutions. Our approach includes a heuristic based on an idea suggested by Marx in the 18th Brumaire of Louis Bonaparte: “The tradition of all dead generations weighs like a nightmare on the brain of the living”. From this maxim of Marx advance on conventional interpretations by postulating that the language and metaphors are a challenge in several respects: (1) The brain is a physical basis for understanding key political revolutions, (2) advances in neuroscience and language (Lakoff/Johnson/Narayanan) have allowed the reconstruction of conceptual frameworks in various fields, including philosophy, mathematics and politics (3) The language expressed in songs, text, flags, emblems, illustrations, slogans, speeches and rumors is key to represent and demonstrate loyalty to the idea of revolution and, more crucially, to “make” the revolution, (4) Metaphors are a powerful rational action in revolutionary processes. One interpretation of these can contribute to decipher, for example, how the brain are activated in neural systems that link past and present, how to operate the symbolic frameworks of language to influence political opinion, how metaphors interact with processes artificial simulation or how metaphors evolve in a revolution from simple metaphors
Brains that make revolutions
This paper work assesses the key aspects of a framework for research on revolutions. Our approach includes a heuristic based on an idea suggested by Marx in the 18th Brumaire of Louis Bonaparte: “The tradition of all dead generations weighs like a nightmare on the brain of the living”. From this maxim of Marx advance on conventional interpretations by postulating that the language and metaphors are a challenge in several respects: (1) The brain is a physical basis for understanding key political revolutions, (2) advances in neuroscience and language (Lakoff/Johnson/Narayanan) have allowed the reconstruction of conceptual frameworks in various fields, including philosophy, mathematics and politics (3) The language expressed in songs, text, flags, emblems, illustrations, slogans, speeches and rumors is key to represent and demonstrate loyalty to the idea of revolution and, more crucially, to “make” the revolution, (4) Metaphors are a powerful rational action in revolutionary processes. One interpretation of these can contribute to decipher, for example, how the brain are activated in neural systems that link past and present, how to operate the symbolic frameworks of language to influence political opinion, how metaphors interact with processes artificial simulation or how metaphors evolve in a revolution from simple metaphors
Brains that make revolutions: the neural theory in the French Revolutions (1789-99, 1848-51, 1870-71), Iran (1977-81) and Bolshevik (1917-1924)
This paper work assesses the key aspects of a framework for research on revolutions. Our approach includes a heuristic based on an idea suggested by Marx in the 18th Brumaire of Louis Bonaparte: “The tradition of all dead generations weighs like a nightmare on the brain of the living”. From this maxim of Marx advance on conventional interpretations by postulating that the language and metaphors are a challenge in several respects: (1) The brain is a physical basis for understanding key political revolutions, (2) advances in neuroscience and language (Lakoff/Johnson/Narayanan) have allowed the reconstruction of conceptual frameworks in various fields, including philosophy, mathematics and politics (3) The language expressed in songs, text, flags, emblems, illustrations, slogans, speeches and rumors is key to represent and demonstrate loyalty to the idea of revolution and, more crucially, to “make” the revolution, (4) Metaphors are a powerful rational action in revolutionary processes. One interpretation of these can contribute to decipher, for example, how the brain are activated in neural systems that link past and present, how to operate the symbolic frameworks of language to influence political opinion, how metaphors interact with processes artificial simulation or how metaphors evolve in a revolution from simple metaphors
Graph Structures for Knowledge Representation and Reasoning
This open access book constitutes the thoroughly refereed post-conference proceedings of the 6th International Workshop on Graph Structures for Knowledge Representation and Reasoning, GKR 2020, held virtually in September 2020, associated with ECAI 2020, the 24th European Conference on Artificial Intelligence. The 7 revised full papers presented together with 2 invited contributions were reviewed and selected from 9 submissions. The contributions address various issues for knowledge representation and reasoning and the common graph-theoretic background, which allows to bridge the gap between the different communities
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