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Titlebook: Artificial General Intelligence; 11th International C Matthew Iklé,Arthur Franz,Ben Goertzel Conference proceedings 2018 Springer Nature Sw

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11#
發(fā)表于 2025-3-23 10:02:41 | 只看該作者
nforcement learning. The necessary principles for acquiring goal-dependent behaviors, and the motivations behind this approach are explained. A concrete implementation exists in a Non-Axiomatic Reasoning System, OpenNARS, although we believe the findings may be generally applicable to other AGI syst
12#
發(fā)表于 2025-3-23 15:02:03 | 只看該作者
E. Sommers in the field of computational creativity and formal Artificial General Intelligence (AGI) provide frameworks towards machines with the general ability to design. In this paper we propose to integrate a formal computational creativity framework into the G?del machine framework. We call the resultin
13#
發(fā)表于 2025-3-23 21:45:11 | 只看該作者
plain, predict and manage behavioral patterns in multi-agent communities. For this purpose, we propose implementation of resource-constrained social evidence based model and discuss possible implications of its application.
14#
發(fā)表于 2025-3-23 23:04:43 | 只看該作者
Properties of solids at low temperatures,explore how far we can advance grammar learning. We present the current approach employed in the open source OpenCog Artificial Intelligence Platform, describe the cognitive pipeline being constructed and present some intermediate results.
15#
發(fā)表于 2025-3-24 06:23:39 | 只看該作者
16#
發(fā)表于 2025-3-24 10:32:32 | 只看該作者
17#
發(fā)表于 2025-3-24 11:47:04 | 只看該作者
18#
發(fā)表于 2025-3-24 16:59:18 | 只看該作者
,Systeme von Massenpunkten. St??e, A computational implementation of this new design is described in detail in this paper. The implementation is built as a distributed system with parallel pipelines of specialised processes, executing asynchronously. Competition initiated by these processes, and facilitated by the attention mechanis
19#
發(fā)表于 2025-3-24 21:38:08 | 只看該作者
20#
發(fā)表于 2025-3-25 00:47:54 | 只看該作者
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