What are the appropriate axioms of rationality for reasoning under uncertainty with resource-constrained systems?. (2020)

• Record Type: Journal Article
• Authors: Atmanspacher, Harald; Basieva, Irina; Busemeyer, Jerome R.; Khrennikov, Andrei Y.; Pothos, Emmanuel M.; Shiffrin, Richard M.; Wang, Zheng
• Is Part Of: Behavioral and brain sciences. Volume 43(2020)
• Publication Date: 2020
• Subjects: Psychophysiology -- Periodicals; Psychology -- Periodicals; Human behavior -- Periodicals; Animal behavior -- Periodicals; Brain -- Periodicals; 616.89142
• DOI: 10.1017/S0140525X19001535
• Languages: English
• ISSNs: 0140-525X

Abstract

Abstract: When constrained by limited resources, how do we choose axioms of rationality? The target article relies on Bayesian reasoning that encounter serious tractability problems. We propose another axiomatic foundation: quantum probability theory, which provides for less complex and more comprehensive descriptions. More generally, defining rationality in terms of axiomatic systems misses a key issue: rationality must be defined by humans facing vague information.