The artificial life route to artificial intelligence : building embodied

The artificial life route to artificial intelligence : building embodied
复制标题

DOI:
10.4324/9781351001885
复制
发表时间:
1995
期刊:
Psychological Research
影响因子:
--
通讯作者:
L. Steels
L. Steels
中科院分区:
其他
文献类型:
--
作者:
L. Steels

文献摘要

被引文献

相似文献

这本书是一次会议的直接结果,会上来自人工智能和生物学领域的多名顶尖研究人员齐聚一堂,研究是否有任何理由假设新的人工智能范式正在形成,以及这种新范式的基本成分是什么。当研究人员,特别是认知科学的研究人员,谈论一种新的范式时,大量的Scepsis是合理的。范式的转变不仅意味着新的想法,而且还意味着什么是好的问题,什么是结果,什么是验证结果的实验实践,以及进行研究所需的技术工具。由于主题的复杂性,认知科学中的范式比比皆是--联结主义是20世纪80年代中期最突出的新来者。这个研讨会小组聚集在一起是为了澄清共同点,看看到目前为止已经取得了什么成果,并审查研究可以以什么方式进一步发展。这本书反映了这次重要的会议。其中载有在讲习班之前分发的材料,但后来作了大量扩大和修订,以反映讲习班的讨论情况和较新的技术工作。这本文集以争议性的形式写成,有时批评到目前为止在新范式下所做的工作,包括研究计划描述、技术贡献和立场文件。
This volume is the direct result of a conference in which a number of leading researchers from the fields of artificial intelligence and biology gathered to examine whether there was any ground to assume that a new AI paradigm was forming itself and what the essential ingredients of this new paradigm were. A great deal of scepsis is justified when researchers, particularly in the cognitive sciences, talk about a new paradigm. Shifts in paradigm mean not only new ideas but also shifts in what constitutes good problems, what counts as a result, the experimental practice to validate results, and the technological tools needed to do research. Due to the complexity of the subject matter, paradigms abound in the cognitive sciences -- connectionism being the most prominent newcomer in the mid-1980s. This workshop group was brought together in order to clarify the common ground, see what had been achieved so far, and examine in which way the research could move further. This volume is a reflection of this important meeting. It contains contributions which were distributed before the workshop but then substantially broadened and revised to reflect the workshop discussions and more recent technical work. Written in polemic form, sometimes criticizing the work done thus far within the new paradigm, this collection includes research program descriptions, technical contributions, and position papers.