提升
发表于 2025-3-28 16:09:13
Karl Jousten,Felix Sharipovaffect the aggregate health (average longevity of agents) and wealth (GDP) of two artificial societies: A primitive society with no division of labor, and a monetized society with division of labor for three different tasks. The results show that agents who feel shame are successful in colonizing vi
折磨
发表于 2025-3-28 21:17:41
Karl Joustenil, in October 2008. The 27 revised full papers presented together with 3 invited lectures and 3 tutorials were carefully reviewed and selected from 142 submissions. The papers are organized in topical sections on computer vision and pattern recognition, distributed AI: autonomous agents, multi-agen
CRATE
发表于 2025-3-28 23:51:06
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掺和
发表于 2025-3-29 06:07:29
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Baffle
发表于 2025-3-29 07:23:07
Karl Jousten,Alfons Jünemann,Boris Kosseka learning methodology that proposes the use of an iterative, error-based approach to improve classification performance. We analyze how the incorporation of syntactic constituent information to the learning and post-processing steps produces a performance improvement of almost twelve points in term
确定
发表于 2025-3-29 13:20:04
Karl Jousten,Uwe Friedrichsen,Erik Lippeltide which words are complex and need to be replaced. Though this is a very subjective task, and not trivial at all, there is agreement among linguists of what makes a word more difficult to read and understand. Cues like the length of the word or its frequency in the language are accepted as informa
EXULT
发表于 2025-3-29 18:04:13
Karl Jousten,Uwe Friedrichsenrelations between entities in the text. This work proposes a new process for the extraction of any relation descriptors between Named Entities (NEs) in the Organization domain, for the Portuguese language, using the Conditional Random Fields (CRF) model. For example, from the following sentence frag
启发
发表于 2025-3-29 22:34:43
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Basal-Ganglia
发表于 2025-3-30 02:01:06
Karl Jousten,Klaus Galdaat can interpret learner state within the context of a dynamic learning environment is costly and often tied to the specific requirements of the learning environment. We overview a new approach for monitoring and assessing system context and learner state that is not specific to a particular domain.
VICT
发表于 2025-3-30 05:57:24
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