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Titlebook: Artificial General Intelligence; 10th International C Tom Everitt,Ben Goertzel,Alexey Potapov Conference proceedings 2017 Springer Internat

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發(fā)表于 2025-3-25 04:49:41 | 只看該作者
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發(fā)表于 2025-3-25 09:59:11 | 只看該作者
Tom Everitt,Ben Goertzel,Alexey PotapovIncludes supplementary material:
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發(fā)表于 2025-3-25 14:31:20 | 只看該作者
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發(fā)表于 2025-3-25 18:32:48 | 只看該作者
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發(fā)表于 2025-3-25 23:22:04 | 只看該作者
Germplasm Exploration and Collectiontional knowledge bases. We present a method for performing deductive reasoning directly in such a vector space, combining analogy, association, and deduction in a straightforward way at each step in a chain of reasoning, drawing on knowledge from diverse sources and ontologies.
26#
發(fā)表于 2025-3-26 02:46:19 | 只看該作者
Flavio S. Anselmetti,Gregor P. Eberli the state-of-the-art: One, increasing architectural homogeneity in algorithms and models. Two, algorithms having more general application: New techniques often beat many benchmarks simultaneously. We review the changes responsible for these trends and look to computational neuroscience literature to anticipate future progress.
27#
發(fā)表于 2025-3-26 07:10:49 | 只看該作者
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發(fā)表于 2025-3-26 09:25:34 | 只看該作者
DSO Cognitive Architecture: Unified Reasoning with Integrative Memory Using Global Workspace Theoryn of the Global Workspace Theory. We discuss how other cognitive architectures using the Global Workspace Theory have influenced our design and also demonstrate how the new design can be used to solve an image captioning problem.
29#
發(fā)表于 2025-3-26 15:24:18 | 只看該作者
A General (Category Theory) Principle for General Intelligence: Duality (Adjointness)cal approach to other properties of human cognition. The proposal pursued here is adjoint functors as a universal (systematic) basis for trading the costs/benefits that accompany physical systems interacting intelligently with their environment.
30#
發(fā)表于 2025-3-26 18:30:46 | 只看該作者
Viktor Brabec,Vladimír Vetterl,Old?ich Vránaa ubiquitous characteristic of natural data, which opens the possibility of efficient natural data compression by BCHs. Further, we show that such hierarchies guarantee the existence of short features in the data which in turn increases the efficiency of induction even more.
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