Robert Rosen wrote extensively about many scientific subjects, with a research stream that always circled back to the essential question of 'What is life?' Below you can access most of his published work, as well as some unpublished notes, including the primary ideas that led to the development of Life Itself I: Epistemology, and its intended sequel, Life Itself II: Ontology.
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Some further comments on the DNA-protein coding problem- a correction and a note

The author identifies an error in the proof of Theorem 4 from a previous paper and provides a new proof, along with a corollary that uncovers a previously unrecognized class of codes

Topics:

Ergodicity
DNA
Proteins
Dated
Article
1980

Some realizations of (M, R)-systems and their interpretation

This paper aims to contextualize (M, R)-systems, a class of metaphorical paradigms for cellular activity, within a broader system-theoretic framework to explore their relationships with other physical and mathematical descriptions of cellular systems

Topics:

(M,R)-Systems
Realization
Sequential Machines
Dynamical Systems
Dated
Article
1971

Some results in graph theory and their application to abstract relational biology

The study of (M,R)-systems in relational biology reveals that categories with certain mapping properties can support a rich theory of these systems, akin to problems in graph theory, with new results indicating that random selections of mappings are likely to yield (M,R)-systems

Topics:

(M,R)-Systems
Category Theory
Graphs
Realization
Dated
Article
1963

Some temporal aspects of political change

This text explores the dynamics and control of political actions within social systems, highlighting their temporal effects and regulatory properties

Topics:

Society
Dynamical Systems
Control
Dated
Article
1974

Structural stability, alternate descriptions and information

This article explores how distinct descriptions of complex biological systems relate to each other, particularly focusing on when they convey equivalent information and the implications of these relationships for understanding system stability and bifurcation points

Topics:

Complexity
Information
Topology
Dated
Article
1976
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