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7 results for “intelligent agent”

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zenodo40/100

Figure 2. Screen capture of the current application-INTELLIGENT AGENT FOR ACQUISITION OF THE MOTHER TONGUE VOCABULARY

<p>From this screen capture (figure 2), you can observe that, for example, the noun car (masina)<br> is in a great correspondence with the correct word car(masina), and in the same correspondence<br> with the incorrect word small (mic). But this is due to the fact that the system worked only with few<br> examples. After a training with much more examples, the system will increase the correspondence<br> between the concept/object car and the word car, and the correspondence between the object car and<br> the word little will remain smallest.</p>

opencc-by-4.0Jan 2010View details →
zenodo40/100

Figure 1. Associations between objects and words-Intelligent Agent for Acquisition of the Mother Tongue Vocabulary

<p>So, the learning process is very complex, and it is a probabilistic one. Thus, a second<br> example is required, and even more than that. Normally, the mother speaks naturally to her child,<br> she speaks with love and affection, she doesn&rsquo;t &ldquo;judge&rdquo; or &ldquo;program&rdquo; what to say to her child.<br> Therefore, another day she will tell her child, for example, &ldquo;My darling son, let&rsquo;s drink the milk<br> from the cup.&rdquo;</p>

opencc-by-4.0Jan 2010View details →
zenodo40/100

BRAIN Journal-Brain-Like Artificial Intelligence for Automation-Figure 19. AnyLogic Implementation of Decision-Making Architechture in an Virtual Autonomous Agent Environment

<p>Figure 19 shows a screenshot of the test implementation. The picture in the middle shows the modules and interfaces<br> of the decision-making architecture which were realized by so-called &ldquo;active objects&rdquo; and &ldquo;ports&rdquo;.<br> On the left side, the implemented modules are listed. In the right lower corner of the figure, the<br> agents and the virtual environment are displayed. The environment comprises different &ldquo;objects&rdquo;<br> (food sources, obstacles, predators, other agents, etc.). In order to survive, the agents have to access<br> food sources. However, the accessing of food sources bears difficulties and risks.</p>

opencc-by-4.0Oct 2013View details →
zenodo32/100

Video Figure: Intelligent Agents and Networked Buttons Improve Free-Improvised Ensemble Music-Making on Touch-Screens

<p>This video figure is an overview of our study comparing two designs for network communications between&nbsp;touch-screen musical instruments played in free-improvised ensemble performances.</p> <p>The video shows an overview of the touch-screen app (PhaseRings) used in the study and each of the interface conditions.</p> <p>The abstract of the paper relating to this figure is as follows:</p> <p>We present the results of two controlled studies of free-improvised ensemble music-making on touch-screens. In our system, updates to an interface of harmonically-selected pitches are broadcast to every touch-screen in response to either a performer pressing a GUI button, or to interventions from an intelligent agent. In our first study, analysis of survey results and performance data indicated significant effects of the button on performer preference, but of the agent on performance length. In the second follow-up study, a mixed-initiative interface, where the presence of the button was interlaced with agent interventions, was developed to leverage both approaches. Comparison of this mixed-initiative interface with the always-on button-plus-agent condition of the first study demonstrated significant preferences for the former. The different approaches were found to shape the creative interactions that take place. Overall, this research offers evidence that an intelligent agent and a networked GUI both improve aspects of improvised ensemble music-making.</p>

openother-openMay 2016View details →
ClinicalTrials.gov32/100

Multi-center Study of Artificial Intelligence Model for Gadolinium-based Contrast Agent Reduction in Brain MRI (MAGNET)

ClinicalTrials.gov study NCT05754476. IPD Sharing: YES. Countries: 1. Publications: 3.

controlledIPD-YESFeb 2026View details →
ClinicalTrials.gov24/100

Use of a Novel Artificial Intelligence Assisted Platform to Assess Optimal Dosing and Treatment Strategy of Erythropoiesis-stimulating Agents (ESA) in Hemodialysis Patients

ClinicalTrials.gov study NCT05032651. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov20/100

VALIDATE: Virtual Agent Linked Intelligent Disease Assessment Tool Engine

ClinicalTrials.gov study NCT03153618. IPD Sharing: NO. Countries: 0. Publications: 0.

closedIPD-NOFeb 2026View details →

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record