This project uses phsychophysical and neurophysiological experiments in human and non-human primates to develop an adaptive toolbox for satisficing search and inference. The adaptive toolbox model are demonstrated on engineered autonomous systems engaged in sensorimotor problems, such as dynamic target tracking and surveillance, subject to environmental pressures and constraints inspired by satisficing-research studies in cognitive science and neuroscience, such as redundant cues and interrupted sensory signals. This research brings about significant advancements in the state-of-the-art in satisficing strategies for autonomous systems and facilitate cooperation between autonomous systems and humans.
Hanna Oh, Jeffrey M. Beck, Pingping Zhu, Marc A. Sommer, Silvia Ferrari, Tobias Egner, “Satisficing in split-second decision making is characterized by strategic cue discounting,” Journal of Experimental Psychology: Learning, Memory, and Cognition, 42(12), 1937-1956, 2016. [Link][PDF]
Yucheng Chen, Pingping Zhu, Anthony Aler, Tobias Egner, Marc A Sommer, and Silvia Ferrari, "Heuristic Satisficing Inferential Decision Making in Human and Robot Active Perception," Frontiers in Robotics and AI, Vol 11, 2024. https://doi.org/10.3389/frobt.2024.1384609 [Link][PDF]