| bibtype |
U -
Conference, Workshop Arrangement
|
| ARLID |
0637868 |
| utime |
20250902093335.2 |
| mtime |
20250805235959.9 |
| title
(primary) (eng) |
2025 DYNALIFE Conference on QUANTUM INFORMATION AND DECISION MAKING IN LIFE SCIENCES |
| keyword |
Complex Biological Systems |
| keyword |
Quantum Decision Making |
| keyword |
Quantum Information |
| keyword |
Biological Codes |
| keyword |
Theoretical Biology |
| author
(primary) |
| ARLID |
cav_un_auth*0101092 |
| name1 |
Guy |
| name2 |
Tatiana Valentine |
| institution |
UTIA-B |
| full_dept (cz) |
Adaptivní systémy |
| full_dept (eng) |
Department of Adaptive Systems |
| department (cz) |
AS |
| department (eng) |
AS |
| share |
100 |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| source |
|
| cas_special |
| project |
| project_id |
CA21169 |
| agency |
EU-COST |
| country |
XE |
| ARLID |
cav_un_auth*0452289 |
|
| abstract
(eng) |
The DYNALIFE interdisciplinary meeting will explore the role of quantum phenomena in the information processing, transfer of complex living systems, decision making and cognition as well as on methods and techniques for simulating biological informational phenomena.\nThe conference will feature a broad spectrum of topics at the intersection of quantum physics, biology, and information science. We invite submissions of new and original research on a variety of subjects, including but not limited to the following:\n• quantum transport and sensing\n• quantum effects in the brain, perception and cognition\n• role of quantum effects in the origins of life and complexity\n• quantum-to-classical transition in living organisms\n• quantum computing for molecular biology\n• quantum-like modelling and quantum bio inspired technologies\n• quantum decision making and cognition.\nThe conference aims to foster interdisciplinary collaboration among working groups and stimulate cross-field interactions to deepen our fundamental understanding of biological information and its role in the origin of life. Additionally, it will leverage cutting-edge biological insights to describe phenomena in cognition and decision-making and help to explore potential applications (e.g. medicine, technology). |
| action |
|
| RIV |
IN |
| FORD0 |
10000 |
| FORD1 |
10200 |
| FORD2 |
10201 |
| reportyear |
2026 |
| num_of_auth |
1 |
| inst_support |
RVO:67985556 |
| permalink |
https://hdl.handle.net/11104/0369152 |
| cooperation |
| ARLID |
cav_un_auth*0491467 |
| name |
Faculty of Economics and Management - The Czech University of Life Sciences Prague |
| institution |
PEF ČZU |
| country |
CZ |
|
| confidential |
S |
| arlyear |
2025 |
|