Listing 1 - 2 of 2 |
Sort by
|
Choose an application
The metaphor of the adaptive landscape - that evolution via the process of natural selection can be visualized as a journey across adaptive hills and valleys, mountains and ravines - permeates both evolutionary biology and the philosophy of science. The focus of this 2006 book is to demonstrate to the reader that the adaptive landscape concept can be put into actual analytical practice through the usage of theoretical morphospaces - geometric spaces of both existent and non-existent biological form - and to demonstrate the power of the adaptive landscape concept in understanding the process of evolution. The adaptive landscape concept further allows us to take a spatial approach to the concepts of natural selection, evolutionary constraint and evolutionary development. For that reason, this book relies heavily on spatial graphics to convey the concepts developed within these pages, and less so on formal mathematics.
Evolution (Biology) --- Adaptation (Biology) --- Morphology --- Mathematical models --- Mathematical models. --- Biological form --- Biological structure --- Comparative morphology --- Form in biology --- Structure in biology --- Anatomy, Comparative --- Morphogenesis --- Environment --- Biology --- Self-organizing systems --- Variation (Biology) --- Biological fitness --- Genetics --- Environmental adaptation --- Adaptation, Environmental --- Evolution (Biology) - Mathematical models --- Adaptation (Biology) - Mathematical models --- Morphology - Mathematical models --- Grammar, Comparative and general Morphology
Choose an application
Esistono ormai da tempo molti articoli, in particolar modo su riviste di biomatematica, di (bio)fisica e di biologia, che presentano proposte e risultati di modellistica matematica relativi direttamente ed indirettamente alla teoria dell’evoluzione. Sicuramente questi studi sono da considerarsi cruciali per l’istituzione della biologia teorica. I temi da prendere in esame sono dapprima le convinzioni che i biologi hanno in merito. Quindi un’analisi dei precedenti tentativi di formulare una teoria matematica dell’evoluzione, nonché i relativi sviluppi e insuccessi a cui abbiamo assistito nell’ambito della "teoria della complessità". La nostra proposta consiste dunque nel realizzare una teoria matematicamente formulata e biologicamente ben fondata dell’evoluzione con specifico e giustificato riferimento a quella fenotipica. Quindi su questa base costruiamo sia di un modello geometrico sia un modello dinamico stocastico. In questo modo, pur tenendo presente l’intrinseca insufficienza dell’approccio riduzionista in biologia, si tenta di dare alcune risposte che hanno una corrispondenza biologica significativa.
Adaptation (Biology) -- Mathematical models. --- Biodiversity -- Mathematical models. --- Evolution (Biology) -- Mathematical models. --- Biology --- Health & Biological Sciences --- Biophysics --- Evolution (Biology) --- Evolution --- Statistical methods. --- Mathematics. --- Animal evolution --- Animals --- Biological evolution --- Darwinism --- Evolutionary biology --- Evolutionary science --- Origin of species --- Physics. --- Evolutionary biology. --- Probabilities. --- Biomathematics. --- Biophysics. --- Biological physics. --- Biophysics and Biological Physics. --- Evolutionary Biology. --- Mathematical and Computational Biology. --- Probability Theory and Stochastic Processes. --- Philosophy --- Creation --- Emergence (Philosophy) --- Teleology --- Biological fitness --- Homoplasy --- Natural selection --- Phylogeny --- Evolution (Biology). --- Distribution (Probability theory. --- Biological and Medical Physics, Biophysics. --- Distribution functions --- Frequency distribution --- Characteristic functions --- Probabilities --- Probability --- Statistical inference --- Combinations --- Mathematics --- Chance --- Least squares --- Mathematical statistics --- Risk --- Biological physics --- Medical sciences --- Physics
Listing 1 - 2 of 2 |
Sort by
|