Adaptive human decision-making, including collision and mutual concession, is computed by solid-state ionic devices. Decision-making is being performed frequently in areas of computation to obtain better performance in a wide variety of current intelligent activities. In practical terms, this decision-making must adapt to dynamic changes in environmental conditions. However, because of limited computational resources, adaptive decision-making is generally difficult to achieve using conventional computers. The ionic decision-maker reported here, which uses electrochemical phenomena, has excellent dynamic adaptabilities, as demonstrated by its ability to solve multiarmed bandit problems (MBPs) in which a gambler given a choice of slot machines must select the appropriate machines to play so as to maximize the total reward in a series of trials. Furthermore, our ionic decision-maker successfully solves dynamic competitive MBPs, which cause serious loss due to the collision of selfish users in communication networks. The technique used in our devices offers a shift toward decision-making using the motion of ions, an approach that could find myriad applications in computer science and technology, including artificial intelligence.
Ionic decision-maker created as novel, solid-state devices
T. Tsuchiya,T. Tsuruoka,Song-Ju Kim,K. Terabe,M. Aono
Published 2018 in Science Advances
ABSTRACT
PUBLICATION RECORD
- Publication year
2018
- Venue
Science Advances
- Publication date
2018-09-01
- Fields of study
Medicine, Materials Science, Computer Science, Engineering
- Identifiers
- External record
- Source metadata
Semantic Scholar, PubMed
CITATION MAP
EXTRACTION MAP
CLAIMS
- No claims are published for this paper.
CONCEPTS
- No concepts are published for this paper.
REFERENCES
Showing 1-36 of 36 references · Page 1 of 1
CITED BY
Showing 1-26 of 26 citing papers · Page 1 of 1