Evolvability Suppression to Stabilize Far-Sighted Adaptations
نویسندگان
چکیده
منابع مشابه
Evolvability Suppression to Stabilize Far-Sighted Adaptations
The opportunistic character of adaptation through natural selection can lead to evolutionary pathologies--situations in which traits evolve that promote the extinction of the population. Such pathologies include imprudent predation and other forms of habitat overexploitation, or the tragedy of the commons, adaptation to temporally unreliable resources, cheating and other antisocial behavior, in...
متن کاملComplex Adaptations and the Evolution of Evolvability
1 One may wonder, ...] how complex organisms evolve at all. They seem to have so many genes, so many multiple or pleiotropic eeects of any one gene, so many possibilities for lethal mutations in early development, and all sorts of problems due to their long development. Abstract: The problem of complex adaptations is studied in two largely disconnected research traditions: evolutionary biology ...
متن کاملFar-sighted Diagnosis of Active Systems
Active systems are a class of discrete-event systems Embodied in the second category are some approaches of the Al modeled as networks of nondeterministic automata communicating area [2, 11, 17]. through either synchronous or asynchronous connection links. The Since finding out the system evolutions is a computationally exmodel-based diagnosis of an active system is carried out by first pensive...
متن کاملMulticopy suppression underpins metabolic evolvability.
Our understanding of the origins of new metabolic functions is based upon anecdotal genetic and biochemical evidence. Some auxotrophies can be suppressed by overexpressing substrate-ambiguous enzymes (i.e., those that catalyze the same chemical transformation on different substrates). Other enzymes exhibit weak but detectable catalytic promiscuity in vitro (i.e., they catalyze different transfo...
متن کاملPerspective: Complex Adaptations and the Evolution of Evolvability.
The problem of complex adaptations is studied in two largely disconnected research traditions: evolutionary biology and evolutionary computer science. This paper summarizes the results from both areas and compares their implications. In evolutionary computer science it was found that the Darwinian process of mutation, recombination and selection is not universally effective in improving complex...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Artificial Life
سال: 2005
ISSN: 1064-5462,1530-9185
DOI: 10.1162/106454605774270633