Results 211 to 220 of about 22,440 (261)
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Journal of Theoretical Politics, 2007
The formal hierarchical structures of organizations can be expected to affect the organizations' behavior in many different ways. One kind of impact is that their structures may affect how their knowledge is organized. This is important because the different ways in which knowledge can be organized may affect what the organizations' decision makers ...
Thomas H. Hammond, Kyle I. Jen, Ko Maeda
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The formal hierarchical structures of organizations can be expected to affect the organizations' behavior in many different ways. One kind of impact is that their structures may affect how their knowledge is organized. This is important because the different ways in which knowledge can be organized may affect what the organizations' decision makers ...
Thomas H. Hammond, Kyle I. Jen, Ko Maeda
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Learning on graphs and hierarchies
Anais Estendidos da XXXVI Conference on Graphics, Patterns and Images (SIBRAPI Estendido 2023), 2023Hierarchies, as described in mathematical morphology, represent nested regions of interest that facilitate high-level analysis and provide mechanisms for coherent data organization. Represented as hierarchical trees, they have formalisms intersecting with graph theory and applications that can be conveniently generalized.
Raquel Almeida +3 more
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Learning and Hierarchies in Service Systems
Management Science, 2019Motivated by diverse application areas such as healthcare, call centers, and crowdsourcing, we consider the design and operation of service systems that process tasks with types that are ex ante unknown, and employ servers with different skill sets. Our benchmark model involves two types of tasks, Easy and Hard, and servers that are either Junior or ...
Kostas Bimpikis, Mihalis G. Markakis
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Learning theory in the arithmetic hierarchy II
Archive for Mathematical Logic, 2020In the paper under review the authors determine the arithmetic complexity of the index sets of uniformly computably enumerable (c.e.) families which are learnable according to various criteria of algorithmic learning. A computable function \(M : 2^{
Achilles A. Beros +5 more
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Communications of the ACM
A hierarchy of AI machines organized by their learning power shows their limits and the possibility that humans are at risk of machine subjugation well before AI utopia can come.
Peter J. Denning, Ted G. Lewis
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A hierarchy of AI machines organized by their learning power shows their limits and the possibility that humans are at risk of machine subjugation well before AI utopia can come.
Peter J. Denning, Ted G. Lewis
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Hierarchies of Understanding for Human Learning
2018 IEEE Frontiers in Education Conference (FIE), 2018This paper describes human hierarchies-of-understanding (HoUs) as frameworks and yardsticks for (1) understanding the effects of semantic technologies on individuals and on society, (2) for designing educational courseware, (3) for designing process flows and content properties in decision support systems, and (4) for measuring the efficiency with ...
Scott A. Carpenter +3 more
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LEARNING HIERARCHIES OF ABSTRACTION SPACES
1989ABSTRACT Hierarchical planning is an effective technique for reducing search in planning. Previous work on hierarchical planning has primarily focused on using abstraction spaces; the question of how the abstractions are formed remained largely unexplored. This paper describes A lpine , a system for learning abstraction spaces for use in hierarchical
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