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AAAI Fall Symposium: Naturally-Inspired Artificial Intelligence最新文献

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Companion Cognitive Systems: Design Goals and Some Lessons Learned 同伴认知系统:设计目标和一些经验教训
Pub Date : 2008-12-01 DOI: 10.1109/mis.2009.86
Kenneth D. Forbus, M. Klenk, T. Hinrichs
The Companion cognitive architecture is designed to support experiments in achieving human-level intelligence. This paper describes the seven key design goals of Companions, relating them to properties of human reasoning and learning, and to engineering concerns raised by attempting to build large-scale cognitive systems. We summarize our experiences to date with Companions in two kinds of domains, test taking and game playing. We close by summarizing some of the challenges that remain.
Companion认知架构旨在支持实现人类智能水平的实验。本文描述了《同伴》的7个关键设计目标,将它们与人类推理和学习的特性以及试图构建大规模认知系统所引起的工程问题联系起来。我们从测试和游戏两方面总结了迄今为止我们在《同伴》中的体验。最后,我们总结了一些仍然存在的挑战。
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引用次数: 11
AI and Mental Imagery 人工智能与心理意象
Pub Date : 1900-01-01 DOI: 10.21236/ada486517
Samuel Wintermute, Scott D. Lathrop
Abstract : Vision and space are prominent modalities in our experiences as humans. We live in a richly visual world, and are constantly and acutely aware of our position in space and our surroundings. In contrast to this seemingly precise awareness, we are also able to reason abstractly, use language, and construct arbitrary hypothetical scenarios In this position paper, we present an AI system we are building to work towards human capability in visual spatial processing. We use mental imagery in processing as our psychological basis and integrate it with symbolic processing. To design this system, we are considering constraints from the natural world (as described by psychology and neuroscience), and those uncovered by AI research. In doing so, we hope to address the gap between abstract reasoning and detailed perception.
摘要:视觉和空间是人类体验的重要形态。我们生活在一个丰富的视觉世界中,不断敏锐地意识到我们在空间和周围环境中的位置。与这种看似精确的意识相比,我们也能够进行抽象推理、使用语言和构建任意假设场景。在这篇论文中,我们展示了一个我们正在构建的人工智能系统,旨在提高人类在视觉空间处理方面的能力。我们以加工中的心理意象作为心理基础,并将其与符号加工相结合。为了设计这个系统,我们考虑了来自自然世界的约束(如心理学和神经科学所描述的),以及人工智能研究发现的约束。在这样做的过程中,我们希望解决抽象推理和详细感知之间的差距。
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引用次数: 6
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AAAI Fall Symposium: Naturally-Inspired Artificial Intelligence
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