A COGNITIVE MODELING APPROACH FOR UNDERSTANDING COMPUTATIONAL INTELLIGENCE-HUMAN INTERACTIONS IN UNCERTAIN AND COMPLEX DECISION-MAKING ENVIRONMENTS
Abstract
Decision-making in complex and uncertain environments is a high-level individual or group process that depends on various cognitive, psychological, and social mechanisms, such as perception, attention, memory, abstract thinking, and debate. In particular, uncertain and complex environment require series of decisions to be made, with each decision depending on rapidly changing information, complex computational intelligence tools (CITs), detailed data analysis tasks and multiple agents’ perspectives. There is limited empirical evidence that analyzes how CITs interact with decision makers in critical decision-making situations or that describes the cognitive and neurological mechanisms through which CITs influence individuals’ integrative complexity traits. We also do not have sufficient information that describes how is that CITs’ characteristics interact with decision makers’ own characteristics (e.g., group size, age, Field of expertise). Finally, little is known about the potential externalities that CITs may have on decisionmaking in these types of environments, such as overreliance, mistrust, or model rejection. To address these knowledge gaps, this study proposes to combine behavioral experimentation and neuroscientific methods to develop a cognitive model that describes the impact that CITs have on decisions being made in complex and uncertain environments. In particular, this study seeks to address the following research questions: • What is the marginal impact of CITs’ components on individuals’ cognitive bandwidth in complex and uncertain decision-making environments? • What is the marginal impact of CITs’ components on individuals’ level of integrative complexity in complex and uncertain decision-making environments? • Under which combination of experimental parameters CITs have a positive impact on decision makers’ ability to deal with complex and uncertain environments? • Under which combination of experimental parameters CITs impact positively individuals’ level of integrative complexity when dealing with a ambiguous or deeply uncertain problem? • Under which combination of experimental parameters CITs lead to mistrust, technological overreliance, model rejection or gridlock in complex and uncertain environments? • Can the lessons learned in these experiments be generalized across different decision context? This interdisciplinary approach can contribute to: i) objectively illustrate decision makers’ models of beliefs and values,, ii) identify the impact and mechanisms through which CITs influence individuals’ integrative complexity traits, iii) support CITs interventions in crisis situations, and iv) contribute to the development of modern decision sciences. Ultimately, this integrative approach can result in formal cognitive models of decision making under uncertainty and complexity that will grant the scientific community a deeper understanding of the mechanisms by which CITs and decision makers interact under rapidly evolving environments.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Apr 20, 2023
- Source ID
- FA95502210441
Entities
People
- Edmundo Molina-Pérez
Organizations
- Air Force Office of Scientific Research
- Monterrey Institute of Technology and Higher Education
- United States Air Force