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5 results for “adaptation decision-making”
Photomorphogenesis for Robot Self-assembly: Adaptivity, Collective Decision-making, and Self-repair
<p>Self-assembly in biological systems is an inspiration for engineered large-scale multi-modular systems with desirable characteristics, such as robustness, scalability, and adaptivity. Previous works have shown that simple mobile robots can be used to emulate and study self-assembly behaviors. However, many of these studies were restricted to rather static and inflexible aggregations in predefined shapes, and were limited in adaptivity compared to that observed in nature. We propose a photomorphogenesis approach for robots using our vascular morphogenesis model---a light-stimuli directed method for multi-robot self-assembly inspired by the tissue growth of trees. Robots in the role of `leaves' collect a virtual resource that is proportional to a real, sensed environmental feature. This resource is then shared throughout the whole robot aggregate and determines where it grows or shrinks as a reaction to the dynamic environment. In our approach the robots use supplemental bioinspired models to collectively select a seed robot to decide who starts to self-assemble (and where), or to assemble static aggregations. The robots then use our vascular morphogenesis model to aggregate in a directed way preferring bright areas, hence resembling natural phototropism (growth towards light). In this assembly, they are adaptive and able to react to a dynamic environment by collectively and autonomously rearranging the aggregate, discarding outdated parts and growing new ones. In representative experiments, the self-assembling robots collectively make rational decisions on where to grow. Cutting off parts of the aggregate triggers a self-organizing repair process in the robots, and the parts regrow. All these capabilities of adaptivity, collective decision-making, and self-repair in our robot self-assembly originate directly from self-organized behavior of the vascular morphogenesis model. Our approach opens up opportunities for self-assembly with reconfiguration on short time-scales with high adaptivity of dynamic forms and structures.</p>
Data from: Incorporating herders' knowledge and ecosystem-based adaptation strategies in local decision-making
<p class="CxSpFirst"> 1. Ecosystem-based adaptation (EbA) relies upon the capacity of ecosystems to buffer communities against the adverse impacts of climate change. Maintaining ecosystems that deliver critical services to communities can also provide co-benefits beyond adaptation, such as climate mitigation and protection of biological diversity and livelihoods. EbA has to a limited extent drawn upon indigenous-and local knowledge (ILK) for defining critical services and for implementing EbA in decision-making. This is a paradox given that the primary focus of EbA is to enable communities to adapt to climate change.<br> 2. The purpose of this study was to elucidate EbA strategies that take into account the knowledge of Sámi reindeer herders about pastures in tundra regions. We first examined what constitutes critical services as perceived by Sámi reindeer herders through a synthesis of data and literature. We thereafter used content analysis of 91 land use cases from 2010-2018 to investigate to what extent the herders' knowledge and maps over seasonal pastures and migratory routes are used in local decision-making. Finally, we propose EbA strategies of relevance to Sámi communities and pastoral communities elsewhere.<br> 3. Our analysis revealed that reindeer herders and organizations representing their interests perceived threats from green energy development, tourism, recreation, public road construction and powerlines. These threats included the loss of key habitats and the loss of connectivity for migration between seasonal pastures. Herders' knowledge is incorporated through participatory tools to protect the ecosystems and services crucial for herders, but multiple competing land uses result in incremental loss of pastures regardless. <br> 4. Synthesis and application. Pastoralists need access to diverse resources on seasonal pastures and the ability to move between pastures when snow, ice, rainfall and the timing of critical service supplies changes. Drawing on herders' knowledge to elicit EbA strategies is vital for buffering the adverse effects of climate change. EbA that incorporates indigenous perspectives cannot purely rely on co-benefit approaches. Fundamental trade-offs exist between adaptation needs and other land uses, such as infrastructure, tourism and green energy development</p>
Computation noise promotes zero-shot adaptation to uncertainty during decision-making in artificial neural networks
<p>This dataset contains the behavioral choice data obtained from N = 230 participants that played a two-armed bandit task (139 females, age: 34 +/- 10 years) in partial and complete feedback conditions, as described in (Findling, Skvortsova et al., 2019, Nature Neuroscience, https://doi.org/10.1038/s41593-019-0518-9).</p> <div> <div> <div> <p>The experiment was performed on the Prolific platform (prolific.co) and the research was carried out following the principles and guidelines for experiments including human participants provided in the declaration of Helsinki and approved by the relevant authorities (Inserm Ethical Review Committee, IRB #00003888). All participants provided written informed consent prior to their inclusion.</p> </div> </div> </div>
Adaptive Decision-making And Personalized Treatment for PTSD (ADAPT-PTSD)
ClinicalTrials.gov study NCT07176273. IPD Sharing: NO. Countries: 1. Publications: 0.
The Transformative Impact of Digital Technologies on Entrepreneurial Decision-Making and Strategic Adaptation
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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.
Annotated Behaviour and Observability Dataset (ABODe)
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.