Tasks for aligning human and machine planning

Bas van Opheusden, Wei Ji Ma

Research output: Contribution to journalReview articlepeer-review

Abstract

Research on artificial intelligence and research on human intelligence rely on similar conceptual foundations and have long inspired each other [1,2]. However, achieving concrete synergy has been difficult, with one obstacle being a lack of alignment of the tasks used in both fields. Artificial intelligence research has traditionally focused on tasks that are challenging to solve, often using human performance as a benchmark to surpass [3–7]. By contrast, cognitive science and psychology have moved towards tasks that are simple enough to allow for detailed computational modeling of people's choices. These divergent objectives have led to a divide in the complexity of tasks studied, both in perception and cognition. The purpose of this paper is to explore the middle ground: are there tasks that are reasonably attractive to both fields and could provide fertile ground for synergy?

Original languageEnglish (US)
Pages (from-to)127-133
Number of pages7
JournalCurrent Opinion in Behavioral Sciences
Volume29
DOIs
StatePublished - Oct 2019

ASJC Scopus subject areas

  • Cognitive Neuroscience
  • Psychiatry and Mental health
  • Behavioral Neuroscience

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