A defence of informational structural realism

This is the revised version of an invited keynote lecture delivered at the 1st Australian Computing and Philosophy Conference (CAP@AU; the Australian National University in Canberra, 31 October–2 November, 2003). The paper is divided into two parts. The first part defends an informational approach to structural realism. It does so in three steps. First, it is shown that, within the debate about structural realism (SR), epistemic (ESR) and ontic (OSR) structural realism are reconcilable. It follows that a version of OSR is defensible from a structuralist-friendly position. Second, it is argued that a version of OSR is also plausible, because not all relata (structured entities) are logically prior to relations (structures). Third, it is shown that a version of OSR is also applicable to both sub-observable (unobservable and instrumentally-only observable) and observable entities, by developing its ontology of structural objects in terms of informational objects. The outcome is informational structural realism, a version of OSR supporting the ontological commitment to a view of the world as the totality of informational objects dynamically interacting with each other. The paper has been discussed by several colleagues and, in the second half, ten objections that have been moved to the proposal are answered in order to clarify it further.     

Cut-free common knowledge

Starting off from the infinitary system for common knowledge over multi-modal epistemic logic presented in [L. Alberucci, G. Jäger, About cut elimination for logics of common knowledge, Annals of Pure and Applied Logic 133 (2005) 73–99], we apply the finite model property to “finitize” this deductive system. The result is a cut-free, sound and complete sequent calculus for common knowledge.     

基于情绪认知评价理论的虚拟人情绪模型研究

情感计算是人工智能的前沿领域之一,建立具有情绪表现力的人机智能系统具有广泛的社会需求。本文分析了基于情绪认知评价理论的情绪建模方法,总结了典型的虚拟人情绪计算模型,归纳了情绪和感知的相关成果,梳理了虚拟人情绪表现方法。针对情绪建模所要深入研究的问题,分析现有研究中存在的不足,对虚拟人情绪模型研究的未来发展方向提出了建议,为进一步深入研究虚拟人情绪模型提供了参考。     

“它”是所有者吗？幼儿对所有权主体的理解

所有者是所有权关系的重要组成部分。社会秩序的正常运行也需要我们合理地判断所有者。本研究考查幼儿能否像成人一样,区分可能的所有者和不可能的所有者。研究采用等级评定的方式,考查了3~5岁幼儿和成人对“什么是所有者”的直觉理解。结果发现,无论是成人还是幼儿,均认为能力健全者、能力不健全者是所有者,但不认为人造物可能是所有者。3~5岁幼儿评价动植物是所有者的可能性显著高于成人,表明相对于成人,他们仍存在认为动植物是所有者的倾向。研究提示,幼儿对所有权主体的理解既与成人之间存在一致性也存在差异,成人可以基于幼儿的所有权认知引导儿童正确理解所有权概念,进而提高幼儿在该领域的社会认知。     

动画教学代理对多媒体学习的影响:学习者经验与偏好的调节作用

以往研究发现,动画教学代理对多媒体学习效果的影响不一致,可能受到学习者特征和偏好的调节。本研究以“空调的组成部分及工作原理”为实验材料,采用两个实验控制教学代理有无、经验高低和代理偏好,探讨动画教学代理对多媒体学习的影响。实验1发现与无代理组相比,代理组对教学视频的注视点个数更多,平均眼跳潜伏期更短,学习兴趣也更高;低经验者在代理条件下的迁移成绩更好。实验2发现学习者在偏好代理和非偏好代理条件下的迁移成绩好于无代理组;偏好代理组感知到更低的认知负荷,对总体视频的注视点个数和注视频率更多,平均眼跳潜伏期更短,对学习内容的注视点个数更多。结论认为：在多媒体中加入教学代理不会减少学习者对学习内容的注意,能提高多媒体学习效果,支持社会代理理论假设;教学代理能提高低经验者的学习效果,但对高知识经验者无明显作用;加入学习者偏好的代理形象会促进学习,但加入学习者非偏好的代理形象并没有阻碍学习。     

ABCs of principal–agent interactions: Accurate predictions,biased processes,and contrasts between working and delegating

We experimentally investigate people’s evaluations of incentive pay contracts and people’s predictions of others’ evaluations of incentive pay contracts. We emphasize that the construction of evaluations and predictions often includes two substeps, involving likelihood judgment and likelihood weighting. Predictors appear to be biased at both substeps but in opposing directions. Accurate overall predictions thus sometimes reflect two errors that are of the same magnitude and thereby offset. Moreover, predictions can become more inaccurate if one step is debiased but the other is left untouched. Importantly, principals deciding whether to delegate a task are susceptible to just one of the biases. Delegation assessments are thus often flawed, reflecting a single error that is not offset.