BICA and Sex Differences: We Need to Understand Potential Sex Differences when Developing Computational Models of Human Behavior

Christopher L. Dancy, Frank E. Ritter

Research output: Contribution to journalConference articlepeer-review

Abstract

Validating computational models of human behavior typically involves statistically comparing human data collected during an experiment to predictions made by the model. However, these models very rarely attempt to represent sex, despite the growing indication that there are sex-based differences in neural and behavioral responses to some external stimuli. We make a case for a stronger presence of male and female models of behavior in biologically inspired cognitive architectures, an area of research that is especially susceptible to physiological differences that can cause bottom-up behavioral differences. We conclude with discussion of previous data collected that highlight the importance of providing more focus on sex-based differences.

Original languageEnglish (US)
Pages (from-to)131-132
Number of pages2
JournalProcedia Computer Science
Volume71
DOIs
StatePublished - 2015
Event6th Annual International Conference on Biologically Inspired Cognitive Architectures, BICA 2015 - Lyon, France
Duration: Nov 6 2015Nov 8 2015

All Science Journal Classification (ASJC) codes

  • Computer Science(all)

Fingerprint Dive into the research topics of 'BICA and Sex Differences: We Need to Understand Potential Sex Differences when Developing Computational Models of Human Behavior'. Together they form a unique fingerprint.

Cite this