Brain Theory from Artificial Life
A special issue of Entropy (ISSN 1099-4300). This special issue belongs to the section "Information Theory, Probability and Statistics".
Deadline for manuscript submissions: closed (20 February 2023) | Viewed by 7686
Special Issue Editors
Interests: open-ended evolution; life mind continuity; offloaded agency
2. Center for Human Nature, Artificial Intelligence, and Neuroscience, Hokkaido University, Hokkaido 060-0812, Japan
Interests: artificial life; artificial intelligence; cognitive modeling
Special Issue Information
Dear Colleagues,
The main theme of this Special Issue is brain theory from artificial life research. For the past three decades, brain theory in the field of artificial life has been discussed in terms of genetic algorithms, neural networks, chaos theory, and sensorimotor association.
However, with the recent development of cognitive and epistemological theories based on the development of deep neural networks and proposals, such as Friston's free-energy principle, research on artificial life is also developing.
In this Special Issue, we invite research that sheds light on new principles, techniques, and applications of brain theory, or, in other words, perception and corporeality from artificial life. In particular, we welcome research from new information-theoretic perspectives, such as Friston's free-energy principle, Tononi's integrated information theory, and empowerment theory.
Prof. Dr. Takashi Ikegami
Dr. Hiroyuki Iizuka
Dr. Keisuke Suzuki
Guest Editors
Manuscript Submission Information
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Keywords
- sensory-motor contingency
- evolutionary theory
- genetic algorithm
- deep neural networks
- chaos theory
- free-energy principle
- active inference
- integrated information theory
- empowerment