快速节俭启发式--基于有限理性和生态理性的简单决策规则

本文阐述了德国“马克斯．普朗克人类发展研究所”以Gerd Gigerenzer教授为代表的“适应行为与认知中心”简称“ABC研究中心(组)”关于判断、推理和决策制定简单启发式研究的理论背景、研究思路和技术路线,着重介绍了该研究中心在有限理性和生态理性假设基础上提出的一系列极富创意的快速节俭启发式规则,并对围绕这些简单决策规则开展的研究活动作了简要介绍。     

文本阅读中简单推理情境下的信息整合

研究采用动窗技术探讨了文本阅读中需要简单推理情境下的信息整合发生的时机。本研究通过三个实验证明了在需要简单推理情境下的文本阅读中 ,需要推理的信息整合是即时发生的 ,而不是经过追溯才发生 ,在这种情况下支持文本阅读的更新追随假设理论。同时本研究发现文本阅读中协调性整合不是以词为单位的。     

Guest Editorial: Who's Afraid of Life After Death?

The evidence for an afterlife is sufficiently strong and compelling that an unbiased person ought to conclude that materialism is a false theory. Yet the academy refuses to examine the evidence, and clings to materialism as if it were a priori true, instead of a posteriori false. I suggest several explanations for the monumental failure of curiosity on the part of academia. First, there is deep confusion between the concepts of evidence and proof. Second, materialism functions as a powerful paradigm that structures the shape of scientific explanations, but is not itself open to question. The third explanation is intellectual arrogance, as the possible existence of disembodied intelligence threatens the materialistic belief that the educated human brain is the highest form of intelligence in existence. Finally, there is a social taboo against belief in an afterlife, as our whole way of life is predicated on materialism and might collapse if near-death experiences, particularly the life review, were accepted as fact.     

Parameter estimation in latent trait models

Latent trait models for binary responses to a set of test items are considered from the point of view of estimating latent trait parameters=( ₁, , _n ) and item parameters=( ₁, , _k ), where _j may be vector valued. With considered a random sample from a prior distribution with parameter, the estimation of (, ) is studied under the theory of the EM algorithm. An example and computational details are presented for the Rasch model.This work was supported by Contract No. N00014-81-K-0265, Modification No. P00002, from Personnel and Training Research Programs, Psychological Sciences Division, Office of Naval Research. The authors wish to thank an anonymous reviewer for several valuable suggestions.     

What Can Artificial Intelligence Learn from Wittgenstein＇s On Certainty？.

Meta-philosophically speaking, the philosophy of artificial intelligence （AI） is intended not only to explore the theoretical possibility of building ＂thinking machines,＂ but also to reveal philosophical implications of specific AI approaches. Wittgenstein＇s comments on the analytic/empirical dichotomy may offer inspirations for AI in the second sense. According to his ＂river metaphor＂ in On Certainty, the analytic/empirical boundary should be delimited in a way sensitive to specific contexts of practical reasoning. His proposal seems to suggest that any cognitive modeling project needs to render the system context-sensitive by avoiding representing large amounts of truisms in its cognitive processes, otherwise neither representational compactness nor computational efficiency can be achieved. In this article, different AI approaches （like the Common Sense Law of Inertia approach, the Bayesian approach and the connectionist approach） will be critically evaluated under the afore-mentioned Wittgensteinian criteria, followed by the author＇s own constructive suggestion on what AI needs to try to do in the near future.     

经验基础与知识确证

Whether empirical givenness has the reliability that foundationalists expect is a point about which some philosophers are highly skeptical. Sellars took the doctrine of givenness as a “myth,” denying the existence of immediate perceptual experience. The arguments in contemporary Western epistemology are concentrated on whether sensory experience has conceptual contents, and whether there is any logical relationship between perceptions and beliefs. In fact, once the elements of words and conceptions in empirical perception are affirmed, the logical relationship between perceptual experience and empirical belief is also affirmed. This relationship takes place through perceptual experience acting as evidence for beliefs. The real problem lies in how one should distinguish between the different relationships with perception of singular beliefs and of universal beliefs, and in how singular beliefs can provide justification for universal beliefs. __________ Translated from Zhongguo Shehui Kexue 中国社会科学 (Social Sciences in China), 2007, (1): 65–75