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Titlebook: Artificial General Intelligence; 12th International C Patrick Hammer,Pulin Agrawal,Matthew Iklé Conference proceedings 2019 Springer Nature

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31#
發(fā)表于 2025-3-26 22:26:30 | 只看該作者
32#
發(fā)表于 2025-3-27 01:06:42 | 只看該作者
Toward Mapping the Paths to AGI,pecifically for the purpose of mapping the paths to AGI. Finally, a scenario network mapping workshopping process is proposed to utilize this method and develop a map of the paths to AGI. This will hopefully lead to discussion and action in the research community for using it in a new effort to map the paths to AGI.
33#
發(fā)表于 2025-3-27 08:31:51 | 只看該作者
Cognitive Module Networks for Grounded Reasoning,ramework, which tightly integrates the knowledge representation and symbolic reasoning mechanisms of the OpenCog cognitive architecture and one of the contemporary deep learning libraries, PyTorch, and show how to implement some existing particular models in our general framework.
34#
發(fā)表于 2025-3-27 09:58:55 | 只看該作者
Exploration Strategies for Homeostatic Agents,lexibility for exploration and better survival chances. This paper considers the resulting strategies as evaluated in a range of environments, showing them to outperform common reinforcement learning, where internal variables are not taken into consideration.
35#
發(fā)表于 2025-3-27 14:10:57 | 只看該作者
Conference proceedings 2019hina, in August 2019. ..The 16 full papers and 5 poster papers presented in this book were carefully reviewed and selected from 30 submissions. The papers are covering AGI architectures, discussing mathematical foundations, philosophical foundations, safety and ethics, and developing ideas from neur
36#
發(fā)表于 2025-3-27 20:01:44 | 只看該作者
37#
發(fā)表于 2025-3-27 21:56:00 | 只看該作者
,Real feste und flüssige K?rper,The framework, called AGI Brain, considers intelligence as a form of optimality and tries to duplicate intelligence using a unified strategy. AGI Brain benefits from powerful modelling capability of state-space representation, as well as ultimate learning ability of the neural networks. The model em
38#
發(fā)表于 2025-3-28 04:05:16 | 只看該作者
39#
發(fā)表于 2025-3-28 06:20:42 | 只看該作者
Nichtlineare Dynamik und Chaos, by human entities emerged as key subject of investigation of international relevance across diverse AI-related research areas. In this paper, we present a novel transdisciplinary and Systems Engineering oriented approach denoted?. which jointly tackles both the thereby underlying control problem an
40#
發(fā)表于 2025-3-28 13:37:51 | 只看該作者
,Systeme von Massenpunkten. St??e,emotions. The model is based on reactions of the agent to satisfaction and frustration of physiological, cognitive or social needs, and to changes of the agent’s expectations regarding such events. The model covers motivational states, affective states (modulation of cognition), feelings (sensations
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