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Leveraging Gains in Metadata-based Knowledge Management and Data Access Systems: The DAIS NESSTAR Project

Bill Bradley, Simon Musgrave, Jostein Ryssevik
2020 Zenodo  
and processing packages and processing packages Make data portable and exchangeable Make data portable and exchangeable Enable rapid access for decision support Enable rapid access for decision support  ...  --BASED DECISION MAKING BASED DECISION MAKING SHARED PRODUCTS KNOWLEDGE STATE INFORMATION REQUIREMENT Planning DATA DATA Gathering KNOWLEDGE KNOWLEDGE Careful Weighting Synthesis INSIGHT  ...  --users in public sector environment users in public sector environment Integrated tables and knowledge products Integrated tables and knowledge products Cross data set Cross data set ' 'codebooks codebooks  ... 
doi:10.5281/zenodo.3823058 fatcat:bdoy2dn5evdz7m6ppnsxib5x5i

Inform: Efficient Information-Theoretic Analysis of Collective Behaviors

Douglas G. Moore, Gabriele Valentini, Sara I. Walker, Michael Levin
2018 Frontiers in Robotics and AI  
planaria, nest-site selection in the ant Temnothorax rugatulus, and collective decision making in multi-agent simulations.  ...  We describe the architecture of the Inform framework, study its computational efficiency and use it to analyze three different case studies of collective behavior: biochemical information storage in regenerating  ...  Optimal information transfer and stochastic resonance in collective decision making.  ... 
doi:10.3389/frobt.2018.00060 pmid:33718436 pmcid:PMC7947678 fatcat:qtzumqxstvaqpkwd5qg42pghw4

Characterizing uncertain sea-level rise projections to support investment decisions

Ryan L. Sriver, Robert J. Lempert, Per Wikman-Svahn, Klaus Keller, Nanette H Bishopric
2018 PLoS ONE  
Results highlight the highly-localized and context dependent nature of applying Robust Decision Making methods to inform investment decisions.  ...  In particular, the full probabilistic analysis begins by aggregating the best scientific information into a single set of joint probability distributions, while the Robust Decision Making analysis identifies  ...  We thank Kelsey Ruckert for assistance in reviewing, testing, and packaging the source code.  ... 
doi:10.1371/journal.pone.0190641 pmid:29414978 pmcid:PMC5802450 fatcat:gn4ky6ttcrhdhfu4azrztpkccm

ACO-based Cascaded Adaptive Routing for traffic balancing in NoC systems

En-Jui Chan, Chih-Hao Chao, Kai-Yuan Jheng, Hsien-Kai Hsin, An-Yeu Wu
2010 The 2010 International Conference on Green Circuits and Systems  
The performance of Network-on-Chip (NoC) is generally dominated by traffic distribution and routing.  ...  We propose an ACO-based Cascaded Adaptive Routing (ACO-CAR) by combining two features: 1) table reforming by eliminating redundant information of far destinations from full routing table, and 2) adaptive  ...  The information becomes an unnecessary and ineffective index in making a routing decision for local router.  ... 
doi:10.1109/icgcs.2010.5543045 fatcat:lir3lu2mufff7ootdtgsqcdu24

Women Participation In Agricutural Decision-Making In Aguata Local Governmmment Area, Anambra State

CN Okafor
2009 Journal of Agricultural Extension  
A study involving 120 women respondents investigated the level of women farmer's participation in Agricultural decision-making in Aguata Local Government Area (LGA) of Anambra State.  ...  It is recommended that involving women farmers in decision-making at all stages of group and family agricultural projects should be a policy in the LGA and a road map to achieving sustainable agricultural  ...  of respondents according to sources of agricultural information Frequency % TABLE 4 : 4 Distribution of respondents according to rate/level of participation in Agricultural Decision-making policies  ... 
doi:10.4314/jae.v12i2.47056 fatcat:oomk26xejncb7do5qbgneezoca

District decision-making for health in low-income settings: a systematic literature review

Deepthi Wickremasinghe, Iram Ejaz Hashmi, Joanna Schellenberg, Bilal Iqbal Avan
2016 Health Policy and Planning  
data are used locally in health decision-making. • This systematic literature review explored ways in which district administrators and health managers in low-and lowermiddle-income countries used health  ...  Health management information systems (HMIS) produce large amounts of data about health service provision and population health, and provide opportunities for data-based decision-making in decentralized  ...  Funding This work was supported by IDEAS-Informed Decisions for Actions to improve maternal and newborn health (, which is funded through a grant from the Bill and Melinda Gates  ... 
doi:10.1093/heapol/czv124 pmid:27591202 pmcid:PMC5009221 fatcat:m2ttqrcsovbqtdimplxgmyfmiy

Evaluating Safeguards in a Conservation Incentive Program: Participation, Consent, and Benefit Sharing in Indigenous Communities of the Ecuadorian Amazon

Torsten Krause, Wain Collen, Kimberly A. Nicholas
2013 Ecology and Society  
Acknowledgments: We are grateful to all the people in the communities who took the time and made the effort to participate in the interviews, making this research possible.  ...  Further acknowledgments go to Paola Onofa and Silverio Mamallacta for their support while conducting interviews in the communities and our colleagues in LUCID, particularly Mine Islar, for commenting on  ...  , while respecting internal decision-making processes, selfdetermination, and local governance.  ... 
doi:10.5751/es-05733-180401 fatcat:gxhlpxkz4nhbrl2r74s43mwt24

Highly Efficient Architecture for Scalable Focused Crawling Using Incremental Parallel Web Crawler

P. Jaganathan, T. Karthikeyan
2015 Journal of Computer Science  
load balance and relevance, the update frequency issue can be solved by the local repository decision.  ...  Furthermore, to solve the issue of URL distribution, a compound decision model based on multi-objective decision making method is introduced, which will consider multiple factors synthetically such as  ...  Funding Information The authors have no support or funding to report. Author's Contributions All authors equally contributed in this work.  ... 
doi:10.3844/jcssp.2015.120.126 fatcat:z5wemkr7tfcgtevgjl54o6hln4

Decision Fusion Supported by Correlated Auxiliary Data in Wireless Sensor Networks

Yu Bao, Xiexing Miao, Yanqun Zhang, Aijuan Zhang
2014 International Journal of Distributed Sensor Networks  
The new method encompasses the collection of useful data and weights and combines them according to the corresponding confidence level to make a global decision.  ...  In the simulation case of Rayleigh-distributed observations of leakage monitoring, it is proved that the proposed method has a good performance.  ...  BK20140185 and BK20140202.  ... 
doi:10.1155/2014/319093 fatcat:2jsiy445bnb7fmim7kxkuvv4ji

Agent Perception Modeling for Movement in Crowds [chapter]

Katayoun Farrahi, Kashif Zia, Alexei Sharpanskykh, Alois Ferscha, Lev Muchnik
2013 Lecture Notes in Computer Science  
scenario over a real physical space, (2) a sophisticated decision making process driven by the agent's subjective view of the world and effected by trust, belief and confidence, and (3) agent's activity  ...  Overall, this work aims at investigating the dynamics of agent information diffusion for emergency scenarios and combines three general elements: (1) an agent-based simulation of crowd dynamics in an emergency  ...  In [16] an agent-based decision-making model in the context of crowd evacuation is proposed, which integrates existing neurological and cognitive theories of affective decision making.  ... 
doi:10.1007/978-3-642-38073-0_7 fatcat:exru7nh3ovhz3jdn44inkruega

Odor objects in a complex world

Shannon B Olsson
2014 Flavour  
Our research explores how complex sensory information can lead to decision making in one of nature's most efficient "microbrains": the insect.  ...  Every decision an animal makes is the result of the brain's complex processing of input from the environment to produce a specific neural output. Yet, the world is a cacophony of information.  ...  Our research explores how complex sensory information can lead to decision making in one of nature's most efficient "microbrains": the insect.  ... 
doi:10.1186/2044-7248-3-s1-o22 fatcat:uqphadxmafgn7n27iqhsmao3xa

Why hydrological forecasts should be evaluated using information theory

S. V. Weijs, G. Schoups, N. van de Giesen
2010 Hydrology and Earth System Sciences Discussions  
Calibration based on 15 maximizing value trains an implicit decision model, which inevitably results in a loss or distortion of information in the data and more risk of overfitting, possibly leading to  ...  Interpreting a decomposition of this measure into uncertainty, correct information and wrong information, it follows directly that deterministic forecasts, although they can still have value for decisions  ...  The authors thank Ronald van Nooijen and Luciano Raso for fruitful discussions about the manuscript.  ... 
doi:10.5194/hessd-7-4657-2010 fatcat:zwflhvnhuneufkyzk6l2blal4y

Page 404 of Industrial & Labor Relations Review Vol. 4, Issue 3 [page]

1951 Industrial & Labor Relations Review  
Information on local labor market condi- tions, if accurately developed, well pre- sented, and effectively distributed, can become a powerful motivating force in the realization of our full man power potential  ...  If “the labor market is basically local,” what steps have been taken or will be taken to make available to local groups and individuals the basic information on labor market conditions in their com- munities  ... 

Local Structure Learning in Graphical Models [chapter]

Christian Borgelt, Rudolf Kruse
2003 Planning Based on Decision Theory  
A topic in probabilistic network learning is to exploit local network structure, i.e., to capture regularities in the conditional probability distributions, and to learn networks with such local structure  ...  In this paper we present a modification of the learning algorithm for Bayesian networks with a local decision graph representation suggested in Chickering et al. (1997) , which is often more efficient.  ...  A decision graph with a full set of inner nodes that captures the regularities in table 3.  ... 
doi:10.1007/978-3-7091-2530-4_7 fatcat:bio7jaq5gjdwdctn4xttg5i7nq

From swarm robotics to smart materials

Nikolaus Correll, Roderich Groß
2010 Neural computing & applications (Print)  
In their paper, "Collective decision-making based on social odometry", Gutiérrez, Campo, Monasterio-Huelin, Magdalena, and Dorigo investigate a novel collective decision-making mechanism using a colony  ...  Examples covered in this special issue range from spatial behaviors such as flocking and dispersion, computational behaviors such as shortest-path routing and collective decisions, up to full-body behaviors  ...  In their paper, ''Collective decision-making based on social odometry'', Gutiérrez, Campo, Monasterio-Huelin, Magdalena, and Dorigo investigate a novel collective decision-making mechanism using a colony  ... 
doi:10.1007/s00521-010-0440-2 fatcat:36ndlvdltfeetjyqmevrburhvu
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