首页|Findings from Deakin University in Artificial Intelligence Reported (Framing the Predictive Mind: Why We Should Think Again About Dreyfus)
Findings from Deakin University in Artificial Intelligence Reported (Framing the Predictive Mind: Why We Should Think Again About Dreyfus)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-A new study on Artificial Intelligence is now available. According to news reporting out of Burwood, Australia, by New sRx editors, the research stated, "In this paper I return to Hubert Dreyfus' old but influential critique of artificial intelligence, redirecting it towards con temporary predictive processing models of the mind (PP). I focus on Dreyfus' arg uments about the ‘frame problem' for artificial cognitive systems, and his contr asting account of embodied human skills and expertise." Financial support for this research came from Deakin University. Our news journalists obtained a quote from the research from Deakin University, "The frame problem presents as a prima facie problem for practical work in AI an d robotics, but also for computational views of the mind in general, including f or PP. Indeed, some of the issues it presents seem more acute for PP, insofar as it seeks to unify all cognition and intelligence, and aims to do so without adm itting any cognitive processes or mechanisms outside of the scope of the theory. I contend, however, that there is an unresolved problem for PP concerning wheth er it can both explain all cognition and intelligent behavior as minimizing pred iction error with just the core formal elements of the PP toolbox, and also adeq uately comprehend (or explain away) some of the apparent cognitive differences b etween biological and prediction-based artificial intelligence, notably in regar d to establishing relevance and flexible context-switching, precisely the featur es of interest to Dreyfus' work on embodied indexicality, habits/skills, and abd uctive inference."
BurwoodAustraliaAustralia and New Ze alandArtificial IntelligenceEmerging TechnologiesMachine LearningDeakin University
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