{"title":"A PARTIAL IMPLEMENTATION OF THE BICA COGNITIVE DECATHLON USING THE PSYCHOLOGY EXPERIMENT BUILDING LANGUAGE (PEBL)","authors":"Shane T. Mueller","doi":"10.1142/S1793843010000497","DOIUrl":null,"url":null,"abstract":"The Cognitive Decathlon is a proposed set of tasks that can be tested on both human and artificially intelligent agents, and which constitutes a modern specification for the Turing Test. In this paper, a partial implementation of the Cognitive Decathlon is described using the Psychology Experiment Building Language (PEBL). The tasks focus not simply on generic human abilities, but on critical skills that highlight aspects of human performance that are at odds with common artificial intelligence approaches. The differences between human and algorithmic behavior in such tasks can reveal properties of the human cognitive architecture, and production of similar behavior by artificial systems can help constrain and validate biologically-inspired systems.","PeriodicalId":418022,"journal":{"name":"International Journal of Machine Consciousness","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"45","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Machine Consciousness","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1142/S1793843010000497","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 45
Abstract
The Cognitive Decathlon is a proposed set of tasks that can be tested on both human and artificially intelligent agents, and which constitutes a modern specification for the Turing Test. In this paper, a partial implementation of the Cognitive Decathlon is described using the Psychology Experiment Building Language (PEBL). The tasks focus not simply on generic human abilities, but on critical skills that highlight aspects of human performance that are at odds with common artificial intelligence approaches. The differences between human and algorithmic behavior in such tasks can reveal properties of the human cognitive architecture, and production of similar behavior by artificial systems can help constrain and validate biologically-inspired systems.