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Titlebook: Biologically Inspired Cognitive Architectures 2012; Proceedings of the T Antonio Chella,Roberto Pirrone,Kamilla Rún Jóhanns Conference proc

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發(fā)表于 2025-3-21 18:16:04 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Biologically Inspired Cognitive Architectures 2012
期刊簡稱Proceedings of the T
影響因子2023Antonio Chella,Roberto Pirrone,Kamilla Rún Jóhanns
視頻videohttp://file.papertrans.cn/188/187513/187513.mp4
發(fā)行地址Advances research on biologically inspired cognitive architectures.Strongly interdisciplinary research at the intersection within artificial intelligence, neuroscience and cognitive science.Written by
學科分類Advances in Intelligent Systems and Computing
圖書封面Titlebook: Biologically Inspired Cognitive Architectures 2012; Proceedings of the T Antonio Chella,Roberto Pirrone,Kamilla Rún Jóhanns Conference proc
影響因子The challenge of creating a real-life computational equivalent of the human mind requires that we better understand at a computational level how natural intelligent systems develop their cognitive and learning functions. In recent years, biologically inspired cognitive architectures have emerged as a powerful new approach toward gaining this kind of understanding (here “biologically inspired” is understood broadly as “brain-mind inspired”). Still, despite impressive successes and growing interest in BICA, wide gaps separate different approaches from each other and from solutions found in biology. Modern scientific societies pursue related yet separate goals, while the mission of the BICA Society consists in the integration of many efforts in addressing the above challenge. Therefore, the BICA Society shall bring together researchers from disjointed fields and communities who devote their efforts to solving the same challenge, despite that they may “speak different languages”. This will be achieved by promoting and facilitating the transdisciplinary study of cognitive architectures, and in the long-term perspective – creating one unifying widespread framework for the human-level cog
Pindex Conference proceedings 2013
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Characterizing and Assessing Human-Like Behavior in Cognitive Architectures,d that if we can build a machine that is indistinguishable from a human is because we have completely discovered how a human mind is created; second, such an intelligent machine could replace or collaborate with humans in any imaginable complex task. Furthermore, if such a machine existed it would p
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978-3-642-34273-8Springer-Verlag Berlin Heidelberg 2013
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