1,734,243 research outputs found
Some italian experiences in the mechanical characterization of structurally complex formations
No full textJáték alapú AGI kutatási platformok összehasonlítása
No full textA játék alapú AGI kutatási platformok átfogó megismerése és összehasonlítása, valamint a játékok és a mesterséges intelligencia közötti kapcsolatok tanulmányozása. A stratégia játékokba ültetett mesterséges intelligencia rendszerekből néhány tárgyalása, valamint összehasonlítása a "nyitott világ" típusú játékokban elkészített mesterséges intelligencia rendszerekkel. Ezen felül az ágensprogramozás megismerése részleteiben saját példán és az összehasonlítás során megismert példán keresztül.BSc/BAProgramtervező Informatiku
AGI-related hospital admissions (public only).
No full textAGI-related hospital admissions (public only).</p
agi-lab/SPLICE: SPLICE v1.1.0
No full textNew features
Adds generate_data function (experimental) for the convenience of users who wish to generate (claims/payments/incurred) datasets of varying levels of complexity. See Feature/generate data by @melantha-wang in https://github.com/agi-lab/SPLICE/pull/1
Minor improvements and fixes
Updates claim_majRev_size default to work with more than 3 major revisions
Full Changelog: https://github.com/agi-lab/SPLICE/commits/v1.1.
AGI-related pathology tests and their weighted costs.
No full textAGI-related pathology tests and their weighted costs.</p
AGI-related imaging tests and their weighted costs.
No full textAGI-related imaging tests and their weighted costs.</p
Indications of Suitable Algorithms for an AGI
No full textThere are frequent reports in current media that discuss threats from Artificial Intelligence and especially the possible threats from Artificial General Intelligence (AGI). This indicates a need for establishing communication interfaces between humans and AGI that ensure that we can create responsible and careful AGIs, whose behavior and knowledge can be scrutinized by human beings. In order to illustrate how this can be done, we exemplify how human reasoning processes can be used when designing an AGI that is driven by knowledge that can be easily understood by human beings. The conclusion from the analyzed examples is that there are indications that the described features of human cognition are well suited to be used as a starting point when designing requirements for an explainable AGI-system.</p
On Attention Mechanisms for AGI Architectures: A Design Proposal
No full textMany existing AGI architectures are based on the assumption of infinite computa- tional resources, as researchers ignore the fact that real-world tasks have time limits, and managing these is a key part of the role of intelligence. In the domain of intelligent systems the management of system resources is typically called “attention”. Attention mechanisms are necessary because all moderately complex environments are likely to be the source of vastly more information than could be processed in realtime by an intelligence’s available cognitive resources. Even if sufficient resources were available, attention could help make better use of them. We argue that attentional mechanisms are not only nice to have, for AGI architectures they are an absolute necessity. We examine ideas and concepts from cognitive psychology for creating intelligent resource management mechanisms and how these can be applied to engineered systems. We present a design for a general attention mechanism intended for imple- mentation in AGI architectures
AGI-K Kibera intervention take-up, by study arm.
No full textAGI-K Kibera intervention take-up, by study arm.</p
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