Organism and Character Decomposition
Steps Towards an Integrative Theory of Biology
Bibliographic Data
| ID | 10703201 |
|---|---|
| Authors | Manfred D Laubichler (0000-0001-6152-0251, Princeton University, corresponding author), Günter P Wagner (0000-0002-3097-002X, Yale University) |
| Year | 2000 |
| Volume | 67 |
| Issue | S3 |
| Pages | S289-S300 |
| Publication date | 2000-01-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Philosophy of Science (JOURNAL) |
| Journal identifiers | ISSN: 0031-8248 • E-ISSN: 1539-767X |
| Publisher | Cambridge University Press (CUP) (PUBLISHER) |
| DOI | 10.1086/392826 |
| OpenAlex | W2064156373 |
| Language | EN |
| Citations received | 3 |
| References cited | 14 |
In this paper we argue that an operational organism concept can help to overcome the structural deficiency of mathematical models in biology. In our opinion, the structural deficiency of mathematical models lies mainly in our inability to identify functionally relevant biological characters in biological systems, and not so much in a lack of adequate mathematical representations of biological processes. We argue that the problem of character identification in biological systems is linked to the question of a properly formulated organism concept. Lastly, we demonstrate how a decomposition of an organism into independent characters in the context of a specific biological process—such as adaptation by means of natural selection—depends on the dynamical properties and invariance conditions of the equations that describe this process
Adaptation (eye) · Bioinformatics · Biological materials · Biological organism · Biological system · Biology · Character (mathematics) · Cognitive science · Context (archaeology) · Decomposition · Identification (biology) · Mathematical and theoretical biology · Model organism · Organism · Process (computing) · Selection (genetic algorithm) · Artificial Intelligence · Computer Science · Ecology · Evolution and Genetic Dynamics · Gene Regulatory Network Analysis · Genetics · Mathematics · Neuroscience · Philosophy and History of Science · Psychology
The Ontogeny of Information
Adaptation in Natural and Artificial Systems
The spandrels of San Marco and the Panglossian paradigm
Individuality and Selection
Developmental Systems and Evolutionary Explanation
Genes, Behavior, and Developmental Emergentism
A semiotic perspective on biological objects and biological functions
An Introduction to Population Genetics Theory
| Citations per year | 0.15 |
|---|---|
| Citation span | 2006 - 2025 (20) |
| Highly cited | No |