Testing massive modularity hypothesis through the selection task: content of rules, forms of reasoning, or pragmatic expectations? Formal, content, and pragmatic aspects in human reasoning

被引:0
作者
Matarazzo, Olimpia [1 ]
Greco, Claudia [1 ]
Carpentieri, Michele [1 ]
Ferrara, Fabrizio [2 ]
机构
[1] Univ Naples 2, Dept Psychol, Caserta, Italy
[2] Univ Naples Federico II, Dept Humanities Studies, Naples, Italy
来源
2015 IEEE 27TH INTERNATIONAL CONFERENCE ON TOOLS WITH ARTIFICIAL INTELLIGENCE (ICTAI 2015) | 2015年
关键词
selection task; massive modularity hypothesis; domain-general reasoning; domain-specific reasoning; social contract theory; EVOLUTIONARY PSYCHOLOGY; SOCIAL-EXCHANGE; INNATENESS;
D O I
10.1109/ICTAI.2015.27
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The easy solution of the selection tasks with social contract rules, compared to the poor results of the original formulation of the tasks with descriptive rules, has been interpreted, in the framework of massive modularity hypothesis, as the evidence that humans are adaptively skilled to reason about particular deontic domains. Nevertheless, the two versions of the tasks are incomparable because they differ not only for the content of the rule, but also in terms of structural features that make their solution based on different types of reasoning-about and from a rule. In this study we disentangled these two aspects by testing type of reasoning (about vs. from) and content of the rule (descriptive vs. social contract) separately in order to establish their relative importance in human reasoning. In addition to these factors, we examined the putative effect of pragmatic expectation (neutral vs. disconfirming the status of the rule) on the participants' performance. Four hundred undergraduates participated in the study, with a 2x2x2 between-subjects design. Results showed that "reasoning from" tasks were better performed than "reasoning about" tasks, regardless of the content of the rule and the type of expectation.
引用
收藏
页码:96 / 103
页数:8
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