4,869 research outputs found
Incorporating Inertia Into Multi-Agent Systems
We consider a model that demonstrates the crucial role of inertia and
stickiness in multi-agent systems, based on the Minority Game (MG). The inertia
of an agent is introduced into the game model by allowing agents to apply
hypothesis testing when choosing their best strategies, thereby reducing their
reactivity towards changes in the environment. We find by extensive numerical
simulations that our game shows a remarkable improvement of global cooperation
throughout the whole phase space. In other words, the maladaptation behavior
due to over-reaction of agents is removed. These agents are also shown to be
advantageous over the standard ones, which are sometimes too sensitive to
attain a fair success rate. We also calculate analytically the minimum amount
of inertia needed to achieve the above improvement. Our calculation is
consistent with the numerical simulation results. Finally, we review some
related works in the field that show similar behaviors and compare them to our
work.Comment: extensively revised, 8 pages, 10 figures in revtex
Multi-Agent Modeling in Managing Six Sigma Projects
In this paper, a multi-agent model is proposed for considering the human resources factor in decision making in relation to the six sigma project. The proposed multi-agent system is expected to increase the acccuracy of project prioritization and to stabilize the human resources service level. A simulation of the proposed multi- agent model is conducted. The results show that a multi-agent model which takes into consideration human resources when making decisions about project selection and project team formation is important in enabling efficient and effective project management. The multi-agent modeling approach provides an alternative approach for improving communication and the autonomy of six sigma projects in business organizations
HUBBLE SPACE TELESCOPE OBSERVATIONS AND GEOMETRIC MODELS OF COMPACT MULTIPOLAR PLANETARY NEBULAE
published_or_final_versio
Long-term prediction of discharges in Manwan Reservoir using artificial neural network models
Author name used in this publication: Kwokwing Chau2004-2005 > Academic research: refereed > Publication in refereed journalAccepted ManuscriptPublishe
Electromagnetic design of a new magnetic gear with electrically controlled gear ratios for hybrid electric vehicles
Poster Session: CQ - Motors, generators and actuators 6: Paper no. 1131postprin
The Development of Social Capital in the Collaboration Network of Information Systems Scholars
This study examines the development of social capital in the collaboration network of information systems (IS) scholars over a 33-year period (from 1980 to 2012). Using the co-authorship data from six premier journals (MIS Quarterly, Information Systems Research, Journal of MIS, Journal of the AIS, European Journal of Information Systems, and Information Systems Journal), we analyze the historical trajectory of five aspects of the field\u27s structural social capital: network ties, network configuration, structural holes, growth, and structural cohesion. Our results show that, as a scientific field, the IS community has made significant progress in accumulating social capital. The current IS collaboration network is also comparable in several aspects with networks found in other business disciplines (e.g., management, finance, and marketing). Our study has several important implications for the focus-versus-diversity debate in the IS field. Based on our findings, we offer some recommendations as to how the IS community can increase the field\u27s social capital, and thereby facilitate knowledge creation and innovation
Long-term prediction of discharges in Manwan Hydropower using adaptive-network-based fuzzy inference systems models
Author name used in this publication: Chun-Tian ChengAuthor name used in this publication: Ying-Guang SunAuthor name used in this publication: Kwokwing ChauAuthor name used in this publication: Jian-Yi Lin2004-2005 > Academic research: refereed > Publication in refereed journalAccepted ManuscriptPublishe
Exclusive Hadronic D Decays to eta' and eta
Hadronic decay modes and
are studied in the generalized
factorization approach. Form factors for transitions
are carefully evaluated by taking into account the wave function normalization
of the eta and eta'. The predicted branching ratios are generally in agreement
with experiment except for and
; the calculated decay rates for the first two decay modes
are too small by an order of magnitude. We show that the weak decays and followed by resonance-induced final-state
interactions (FSI), which are amenable technically, are able to enhance the
branching ratios of and dramatically
without affecting the agreement between theory and experiment for and . We argue that it is difficult to understand
the observed large decay rates of and
simultaneously; FSI, W-annihilation and the production of excess eta' from
gluons are not helpful in this regard. The large discrepancy between the
factorization hypothesis and experiment for the ratio of
and remains as an enigma.Comment: 15 pages, 1 figure, to appear in Phys. Rev. D. Form factors for D to
eta and eta' transitions are slightly change
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