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4 results for “Complex adaptive systems”
METHODS OF TRAINING AND ADAPTATION OF AI AGENTS IN COMPLEX PROCESS CONTROL SYSTEMS
<p>The article presents a study of modern methods of training and adaptation of artificial agents used in managing complex processes, which are characterized by a high level of uncertainty and the need for prompt response to changes. Key methodological approaches such as machine learning and neuroevolution are discussed. These approaches allow AI agents to accumulate knowledge about the behavior of systems continuously, analyze external changes, and adjust the management strategy depending on environmental conditions, which significantly increases their ability to predict and prevent possible failures in management.</p> <p>In the course of the study, models were considered that allow automating the execution of complex, multitasking processes, minimizing human intervention, and reducing the likelihood of errors. In addition, the presented methods provide high flexibility and scalability of systems, which is especially important in industrial and technological industries, where stability and reliability are critical. The results showed that AI agents with adaptive learning capabilities can increase operational efficiency while reducing costs and optimizing resource use. The conclusion highlights the prospects of using artificial intelligence to build highly autonomous control systems capable of responding to dynamic challenges, which opens up new horizons for automation and intellectual support in industrial production, logistics, and other key areas.</p> <p>Thus, the article makes a significant contribution to understanding the role of AI in management modernization, offering practical recommendations on the implementation of intelligent agents in real-world scenarios to increase productivity and sustainability.</p>
Data supplement for "Adaptive stochastic continuation with a modified lifting procedure applied to complex systems"
<p>This dataset contains the data and source files for the diagrams of the following preprint:</p> <p><em>Clemens Willers, Uwe Thiele, Andrew J. Archer, David J. B. Lloyd, and Oliver Kamps<br> Adaptive stochastic continuation with a modified lifting procedure applied to complex systems<br> arXiv preprint arXiv:2002.01705, 2020 </em></p> <p>Please follow the instructions given in 'Readme.txt'.</p>
Rationalizing Systems Analysis for the Evaluation of Adaptation Strategies in Complex Human-Water Systems - Outputs Dataset
<p>Dataset containing the outputs of the paper entitled Rationalizing Systems Analysis for the Evaluation of Adaptation Strategies in Complex Human-Water Systems. Outputs are subdivided into PMAUP and SWAT-PMAUP folders. Scenario runs are available in the folder scenario, inside SWAT-PMAUP, together with the SWAT model setup used throughout the manuscript.</p>
Data from: Genes of the major histocompatibility complex highlight interactions of the innate and adaptive immune system
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
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ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.