Details
| Original language | English |
|---|---|
| Title of host publication | Artificial Life Conference Proceedings |
| Subtitle of host publication | ALIFE 2018: The 2018 Conference on Artificial Life |
| Pages | 186-193 |
| Number of pages | 8 |
| Publication status | Published - 2020 |
| Event | 2018 Conference on Artificial Life: Beyond AI, ALIFE 2018 - Tokyo, Japan Duration: 23 Jul 2018 → 27 Jul 2018 |
Abstract
Complex organisms, such as multi-cellular ones, have neither emerged spontaneously, nor evolved directly, from a disorganised mass of quarks. Stable intermediary sub-systems, like atoms and uni-cellular organisms, had to occur first and serve as reusable blocks for more complex systems to build upon. The occurrence of structured systems, featuring internal diversity, from uniform self-adaptive sub-systems is a key phenomenon to study in this context. We believe this phenomenon relies on the interactions among self-adaptive sub-systems, both at the micro-level (directly between sub-systems) but most importantly via macro-levels (indirectly via aggregate information and control from/to all sub-systems). To study this, we have developed a hierarchical control simulator based on self-adaptive cellular automata (CA). This paper presents our Holonic Cellular Automata (HCA) simulator, and the preliminary results showing the occurrence of structure / diversity from micro-macro feedback loops among self-adaptive CAs starting in the same states. This provides a promising basis for further investigations into the range of possibilities concerning structure creation, as a key enabler for the emergence of complex systems.
ASJC Scopus subject areas
- Mathematics(all)
- Modelling and Simulation
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Artificial Life Conference Proceedings : ALIFE 2018: The 2018 Conference on Artificial Life . 2020. p. 186-193.
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Holonic Cellular Automata
T2 - 2018 Conference on Artificial Life: Beyond AI, ALIFE 2018
AU - Diaconescu, Ada
AU - Tomforde, Sven
AU - Müller-Schloer, Christian
PY - 2020
Y1 - 2020
N2 - Complex organisms, such as multi-cellular ones, have neither emerged spontaneously, nor evolved directly, from a disorganised mass of quarks. Stable intermediary sub-systems, like atoms and uni-cellular organisms, had to occur first and serve as reusable blocks for more complex systems to build upon. The occurrence of structured systems, featuring internal diversity, from uniform self-adaptive sub-systems is a key phenomenon to study in this context. We believe this phenomenon relies on the interactions among self-adaptive sub-systems, both at the micro-level (directly between sub-systems) but most importantly via macro-levels (indirectly via aggregate information and control from/to all sub-systems). To study this, we have developed a hierarchical control simulator based on self-adaptive cellular automata (CA). This paper presents our Holonic Cellular Automata (HCA) simulator, and the preliminary results showing the occurrence of structure / diversity from micro-macro feedback loops among self-adaptive CAs starting in the same states. This provides a promising basis for further investigations into the range of possibilities concerning structure creation, as a key enabler for the emergence of complex systems.
AB - Complex organisms, such as multi-cellular ones, have neither emerged spontaneously, nor evolved directly, from a disorganised mass of quarks. Stable intermediary sub-systems, like atoms and uni-cellular organisms, had to occur first and serve as reusable blocks for more complex systems to build upon. The occurrence of structured systems, featuring internal diversity, from uniform self-adaptive sub-systems is a key phenomenon to study in this context. We believe this phenomenon relies on the interactions among self-adaptive sub-systems, both at the micro-level (directly between sub-systems) but most importantly via macro-levels (indirectly via aggregate information and control from/to all sub-systems). To study this, we have developed a hierarchical control simulator based on self-adaptive cellular automata (CA). This paper presents our Holonic Cellular Automata (HCA) simulator, and the preliminary results showing the occurrence of structure / diversity from micro-macro feedback loops among self-adaptive CAs starting in the same states. This provides a promising basis for further investigations into the range of possibilities concerning structure creation, as a key enabler for the emergence of complex systems.
UR - http://www.scopus.com/inward/record.url?scp=85084749259&partnerID=8YFLogxK
U2 - 10.1162/isal_a_00040
DO - 10.1162/isal_a_00040
M3 - Conference contribution
AN - SCOPUS:85084749259
SP - 186
EP - 193
BT - Artificial Life Conference Proceedings
Y2 - 23 July 2018 through 27 July 2018
ER -