28 research outputs found

    The Strategic Exploitation of Limited Information and Opportunity in Networked Markets

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    This paper studies the effect of constraining interactions within a market. A model is analysed in which boundedly rational agents trade with and gather information from their neighbours within a trade network. It is demonstrated that a trader’s ability to profit and to identify the equilibrium price is positively correlated with its degree of connectivity within the market. Where traders differ in their number of potential trading partners, well-connected traders are found to benefit from aggressive trading behaviour.Where information propagation is constrained by the topology of the trade network, connectedness affects the nature of the strategies employed

    Spin-orbital gapped phase with least symmetry breaking in the one-dimensional symmetrically coupled spin-orbital model

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    To describe the spin-orbital energy gap formation in the one-dimensional symmetrically coupled spin-orbital model, we propose a simple mean field theory based on an SU(4) constraint fermion representation of spins and orbitals. A spin-orbital gapped phase is formed due to a marginally relevant spin-orbital valence bond pairing interaction. The energy gap of the spin and orbital excitations grows extremely slowly from the SU(4) symmetric point up to a maximum value and then decreases rapidly. By calculating the spin, orbital, and spin-orbital tensor static susceptibilities at zero temperature, we find a crossover from coherent to incoherent magnetic excitations as the spin-orbital coupling decreasing from large to small values.Comment: 10 pages, Revtex file, 5 figure

    Elementary excitations in one-dimensional spin-orbital models: neutral and charged solitons and their bound states

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    We study, both numerically and variationally, the interplay between different types of elementary excitations in the model of a spin chain with anisotropic spin-orbit coupling, in the vicinity of the "dimer line" with an exactly known dimerized ground state. Our variational treatment is found to be in a qualitative agreement with the exact diagonalization results. Soliton pairs are shown to be the lowest excitations only in a very narrow region of the phase diagram near the dimer line, and the phase transitions are always governed by magnon-type excitations which can be viewed as soliton-antisoliton bound states. It is shown that when the anisotropy exceeds certain critical value, a new phase boundary appears. In the doped model on the dimer line, the exact elementary charge excitation is shown to be a hole bound to a soliton. Bound states of those "charged solitons" are studied; exact solutions for N-hole bound states are presented.Comment: 11 pages revtex, 6 figure

    Towards Time Management Adaptability in Multi-agent Systems

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    So far, the main focus of research on adaptability in multiagent systems (MASs) has been on the agents ’ behavior, for example on developing new learning techniques and more flexible action selection mechanisms. In this paper, we introduce a different type of adaptability in MASs, called time management adaptability. Time management adaptability focuses on adaptability in MASs with respect to execution control. First, time management adaptability allows a MAS to be adaptive with respect to its execution platform, anticipating arbitrary and varying timing delays which can violate correctness. Second, time management adaptability allows the execution policy of a MAS to be customized at will to suit the needs of a particular application. We discuss the essential parts of time management adaptability: (1) we employ time models as a means to explicitly capture the execution policy derived from the application’s execution requirements, (2) we classify and evaluate time management mechanisms which can be used to enforce time models, and (3) we introduce a MAS execution control platform which combines both previous parts to offer high-level execution control

    Keep calm and carry on: miRNA biogenesis under stress

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    MicroRNAs (miRNAs) are major post-transcriptional regulators of gene expression. Their biogenesis relies on the cleavage of longer precursors by a nuclear localized processing machinery. The evolutionary preference of plant miRNAs to silence transcription factors turned these small molecules into key actors during growth and adaptive responses. Furthermore, during their life cycle plants are subject to changes in the environmental conditions surrounding them. In order to face these changes, plants display unique adaptive capacities based on an enormous developmental plasticity, where miRNAs play central roles. Many individual miRNAs have been shown to modulate the plant response to different environmental cues and stresses. In the last few years, increasing evidence has shown that not only individual genes encoding miRNAs but also the miRNA pathway as a whole is subject to regulation in response to external stimulus. In this review, we discuss the current knowledge about the miRNA pathway. We dissect the pathway to analyze the events leading to the generation of these small RNAs and emphasize the regulation of core components of the miRNA biogenesis machinery.Fil: Manavella, Pablo Andrés. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Agrobiotecnología del Litoral. Universidad Nacional del Litoral. Instituto de Agrobiotecnología del Litoral; ArgentinaFil: Yang, Seong W.. Yonsei University; Corea del SurFil: Palatnik, Javier Fernando. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Biología Molecular y Celular de Rosario. Universidad Nacional de Rosario. Facultad de Ciencias Bioquímicas y Farmacéuticas. Instituto de Biología Molecular y Celular de Rosario; Argentin

    Complexity and information systems: the emergent domain

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    This paper is concerned with the emergence of the information systems (IS) domain as a central feature of the management research landscape in the networked world. It shows that emergence of the network economy and network society necessitates a paradigm shift in the IS discipline, and that complexity science offers the apposite concepts and tools for effecting such a shift. To avoid confusion of fundamental complexity science concepts with the more colloquial uses of complexity terminology, the paper provides an introduction to concepts from complexity science for those in the IS field who are unacquainted with complexity theory. It then proceeds to explore the utility of these concepts for developing IS theory and practice for the emergent networked world
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