Name
Abstract | ||
|---|---|---|
Since the early beginnings of Evolutionary Computation, Finite State Machines (FSMs) have been applied to model organisms. We present a new approach to evolve such artificial organisms. The FSMs are subject to a difficult navigation and searching task in heterogeneous environments. We give a definition of FSM-species and investigate their formation. The results show that species are formed as the organisms agree on a common 'genetic broadcast language' and take advantage of the fruitful effects of recombination. As observed in natural ecosystems, higher abiotic diversity leads to higher biotic diversity. |
Year | DOI | Venue |
|---|---|---|
1999 | 10.1007/3-540-48304-7_20 | ECAL |
Keywords | Field | DocType |
fruitful effect,abiotic diversity,artificial organism,evolutionary computation,higher biotic diversity,species formation,difficult navigation,evolving finite state machines,heterogeneous environment,finite state machines,genetic broadcast language,early beginning,finite state machine,genetics,evolutionary computing | Computer science,Evolutionary computation,Finite-state machine,Artificial intelligence,Machine learning,Abiotic component | Conference |
Volume | ISSN | ISBN |
1674 | 0302-9743 | 3-540-66452-1 |
Citations | PageRank | References |
0 | 0.34 | 3 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Arno Rasek | 1 | 0 | 0.34 |
| Walter Dörwald | 2 | 0 | 0.34 |
| Michael Hauhs | 3 | 6 | 3.70 |
| Alois Kastner-Maresch | 4 | 0 | 0.34 |