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Agent-Based Computational Economics (ACE) and African Modelling: Perspectives and Challenges

Godwin Chukwudum Nwaobi
2011 Social Science Research Network  
KEY WORDS: artificial intelligence, computational laboratory, complex networks, multi-agent systems, agent-base computational economics, social networks, macroeconometric model, linear programming; input-output  ...  macro-econometric models, vector auto regression models and computable general equilibrium models.  ...  Consequently, the breakthrough is computational modeling in the social sciences (economic sciences) came with the development of multi-agents systems (MAS).  ... 
doi:10.2139/ssrn.1972350 fatcat:mto3weherncetfvlfwz5guyasu

The FuturIcT Knowledge Accelerator: Unleashing the Power of Information for a Sustainable Future [article]

Dirk Helbing
2010 arXiv   pre-print
With our knowledge of the universe, we have sent men to the moon. We know microscopic details of objects around us and within us.  ...  With connectivity between people rapidly increasing, we are now able to exploit information and communication technologies to achieve major breakthroughs that go beyond the step-wise improvements in other  ...  capable of exploiting the massive parallelism of future computational systems; create a global-scale multi-level Living Earth Simulator with large realism (10 petaflops in 2013, 100 petaflops in 2016,  ... 
arXiv:1004.4969v2 fatcat:gp6ukpvmqjcrnh2k7e7muzf6yy

Modelling of integrated multi-energy systems: Drivers, requirements, and opportunities

P. Mancarella, G. Andersson, J.A. Pecas-Lopes, K.R.W. Bell
2016 2016 Power Systems Computation Conference (PSCC)  
This paper addresses the need for modelling of MES which is capable of assessing interactions between different sectors and the energy vectors they are concerned with, so as to bring out the benefits and  ...  Drivers for MES modelling and the needs of different users of models are discussed, along with some of the practicalities of such modelling, including the choices to be made in respect of spatial and temporal  ...  PM would also like to acknowledge the UK EPSRC and the HubNet project for the support provided to carry out this research.  ... 
doi:10.1109/pscc.2016.7541031 dblp:conf/pscc/MancarellaALB16 fatcat:zl6esxd7wzd47lxx77e2ccrz4q

Enterprise-wide modeling & optimization—An overview of emerging research challenges and opportunities

V.A. Varma, G.V. Reklaitis, G.E. Blau, J.F. Pekny
2007 Computers and Chemical Engineering  
Initially, we demonstrate the existence of cross-functional decision-making dependencies using an enterprise network model.  ...  Subsequently, we discuss interactions between enterprise planning decisions involving project financing, debt-equity balancing, R&D portfolio selection, risk hedging with real derivative instruments, supply  ...  These derivative instruments include forwards, futures and options on commodity futures.  ... 
doi:10.1016/j.compchemeng.2006.11.007 fatcat:wt6253ffgze5jilwoqsf3dkgcq

Cloud computing ecosystem model: evaluation and role clusters

Sebastian Floerecke, Franz Lehner, Sebastian Schweikl
2020 Electronic Markets  
Recently, scholars have developed a new role-based cloud ecosystem model (Passau Cloud Computing Ecosystem Model (PaCE model)) based on a systematic analysis and synthesis of the previous models.  ...  Several significantly different attempts have been undertaken to visualize the complex and opaque cloud computing ecosystem by a descriptive model.  ...  This understanding is in line with the biological perspective on multi-organizational networks by Moore (1993) .  ... 
doi:10.1007/s12525-020-00419-2 fatcat:uv3lrmo3lbhz3k35psejl5pzse

The FuturICT Knowledge Accelerator: Unleashing the Power of Information for a Sustainable Future

Dirk Helbing
2010 Social Science Research Network  
capable of exploiting the massive parallelism of future computational systems; create a global-scale multi-level Living Earth Simulator with large realism (10 petaflops in 2013, 100 petaflops in 2016,  ...  Gigantic computer power is, for example, needed for large-scale computational analyses in the following areas: • Massive data mining, e.g. real-time financial data analysis • Network research, community  ... 
doi:10.2139/ssrn.1597095 fatcat:sgsde7bknre6dik7nbclmspbge

Future Prospects in Balanced Scorecard Research: Sustainability Perspective

Mehtap Aldogan Eklund
2020 Indonesian Journal of Sustainability Accounting and Management  
multi­dimensional, multi-disciplinary, and multi-cultural empirical research.  ...  This study also reports the evolution and synthesis of published materials, citation analysis, themes, theories, and the literature gap and future research agenda, including the post coronavirus disease  ...  models for future prospects in (S)BSC.  ... 
doi:10.28992/ijsam.v4i2.263 fatcat:vg6dbf46lrhofgyi7aiy5dojjy

Smart City Logistics on Cloud Computing Model

Katarzyna Nowicka
2014 Procedia - Social and Behavioral Sciences  
The cloud computing model enables governments to realize financial, service delivery and operation benefits.  ...  Smart City logistics with the help of instrumentation and interconnection of mobile devices and sensors based on the cloud computing model, which collects and analyses real-world data, improve the ability  ... 
doi:10.1016/j.sbspro.2014.10.025 fatcat:k6disj5pvfffzgocprzyh453oi

Panel: The future of research in modeling & simulation

Levent Yilmaz, Simon J. E. Taylor, Richard Fujimoto, Frederica Darema
2014 Proceedings of the Winter Simulation Conference 2014  
This panel will examine the future of research in modeling and simulation by (1) examining prior progress, (2) pointing out current weaknesses and limitations, (3) highlighting directions for future research  ...  In the area of weather, future-casts based on model predictions have become highly accurate and heavily relied upon. This is happening in other domains, as well.  ...  Such advances include the increasing emphasis in multi-scale and multi-modal modeling -in DDDAS multiple scales may be invoked dynamically based on the dynamic data inputs.  ... 
doi:10.1109/wsc.2014.7020122 dblp:conf/wsc/YilmazTFD14 fatcat:7tdp7mh3fzemtcqvioqkt3br3e

The origins of computer weather prediction and climate modeling

Peter Lynch
2008 Journal of Computational Physics  
Earth System Models are capable of replicating climate regimes of past millennia and are the best means we have of predicting the future of our climate.  ...  The basic ideas of numerical forecasting and climate modeling were developed about a century ago, long before the first electronic computer was constructed.  ...  There are expectations from all these sectors of increasing accuracy and detail of short range forecasts, as decisions with heavy financial implications must continually be made.  ... 
doi:10.1016/j.jcp.2007.02.034 fatcat:f5vtwbwjzzb2djdlzpt54ne4ju

The future of productivity

Dirk Pilat, Chiara Criscuolo
2018 Policy Quarterly  
It then outlines the role of structural factors in digital adoption, before concluding with a brief discussion on policies to strengthen future productivity growth.  ...  The article starts by discussing the relationship between the global productivity slowdown and the diffusion of digital technologies and related processes across firms and industries.  ...  new business models, and provide workers and management with new skills.  ... 
doi:10.26686/pq.v14i3.5081 fatcat:rldx7pynazeyrkczg6q65i3xoi

Modeling VaR in Crude Oil Market: A Multi Scale Nonlinear Ensemble Approach Incorporating Wavelet Analysis and ANN [chapter]

Kin Keung Lai, Kaijian He, Jerome Yen
2007 Lecture Notes in Computer Science  
This paper adopts a VaR approach to measure risks and proposes multi-scale non-linear ensemble approaches to model the risk evolutions in WTI crude oil market.  ...  The proposed WDNEVaR follows a semi-parametric paradigm, incorporating both, wavelet analysis and artificial neural network techniques.  ...  financial relationship identification to reveal the nonlinear multi-scale data structure [3] .  ... 
doi:10.1007/978-3-540-72584-8_73 fatcat:qamaedjbszaenozhaor7frfktq

The electronic oracle: computer models and social decisions

Donella H. Meadows, Jennifer M. Robinson
2002 System Dynamics Review  
Model funders should emphasize basic, not applied, research. Basic research and knowledge is lacking.  ...  The majority of the MSGs (models, simulations, and games) sampled are living off a very slender intellectual investment in fundamental knowledge ...  ...  He used a system dynamics model for long-term demand forecasts and a dynamic integer programming model for designing supply networks.  ... 
doi:10.1002/sdr.239 fatcat:kzr3hhfg3bhdfieszyjynmejqa

Quantum-Enhanced Grid of the Future: A Primer

Rozhin Eskandarpour, Kumar Ghosh, Amin Khodaei, Aleksi Paaso, Liuxi Zhang
2020 IEEE Access  
It is necessary to have an across-the-board view of the quantum computing technology applications in power systems, and in particular, in building the grid of the future.  ...  Quantum computing is a ground-breaking technology in information processing that can support the global efforts in addressing power system challenges and in further envisioning the grid of the future.  ...  modeling in future election forecasts.  ... 
doi:10.1109/access.2020.3031595 fatcat:bstnoguf45hczcsrn2inijtcwy

Recent advances and applications in accessibility modelling

Karst T. Geurs, Andrea De Montis, Aura Reggiani
2015 Computers, Environment and Urban Systems  
Contents lists available at ScienceDirect Computers, Environment and Urban Systems A third, and growing field of accessibility modelling is related to temporal dynamics in accessibility.  ...  Another leitmotif, as noted earlier, is the adoption of instruments falling in the cluster of Land-Use and Transport Interaction (LUTI) models.  ... 
doi:10.1016/j.compenvurbsys.2014.09.003 fatcat:nzgeqkrc6vfkxmyn3pd45fjslu
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