2008/10/27 by Bradly Alicea, Alicea, Bradly
Biochemistry, Genetics and Molecular Biology · Decision Sciences · Psychology · #Complex Systems and Decision Making #FOS: Computer and information sciences #Gene Regulatory Network Analysis #Human-Computer Interaction (cs.HC) #Mental Health Research Topics #Neural and Evolutionary Computing (cs.NE)
paper · pdf · doi:10.48550/arxiv.0810.4884
openalex publication_date 2008/10/27 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
This paper contributes to the human-machine interface community in two ways: as a critique of the closed-loop AC (augmented cognition) approach, and as a way to introduce concepts from complex systems and systems physiology into the field. Of particular relevance is a comparison of the inverted-U (or Gaussian) model of optimal performance and multidimensional fitness landscape model. Hypothetical examples will be given from human physiology and learning and memory. In particular, a four-step model will be introduced that is proposed as a better means to characterize multivariate systems during behavioral processes with complex dynamics such as learning. Finally, the alternate approach presented herein is considered as a preferable design alternate in human-machine systems. It is within this context that future directions are discussed.