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This paper proposes and tests a theoretical model of human behavior that can be used to detect behavioral biases in electronic market environments populated by humans and software agents. The paper also quantifies the effect of these biases on individual and business profits.<\/p>","DOI":"10.4018\/ijsita.2013100104","type":"journal-article","created":{"date-parts":[[2014,3,21]],"date-time":"2014-03-21T09:42:54Z","timestamp":1395394974000},"page":"60-79","source":"Crossref","is-referenced-by-count":1,"title":["Detecting Behavioral Biases in Mixed Human-Proxy Online Auction Markets"],"prefix":"10.4018","volume":"4","author":[{"given":"Roumen","family":"Vragov","sequence":"first","affiliation":[{"name":"Department of Mathematics and Information Technology, Mount Saint Mary College, Newburgh, NY, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"2432","reference":[{"key":"ijsita.2013100104-0","author":"T.Alexander","year":"1969","journal-title":"Children and adolescents: A biocultural approach to psychological development"},{"key":"ijsita.2013100104-1","doi-asserted-by":"publisher","DOI":"10.1207\/S15327663JCP13-1&2_10"},{"key":"ijsita.2013100104-2","doi-asserted-by":"crossref","unstructured":"Artikis, A., Pitt, J., & Stergiou, C. 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