Robert Rosen (theoretical biologist)

Rosen's work proposed a methodology which needs to be developed in addition to the current reductionistic approaches to science by molecular biologists. He called this methodology Relational Biology. Relational is a term he correctly attributes to his mentor Nicolas Rashevsky, who published several papers on the importance of set-theoretical relations[8] in biology prior to Rosen's first reports on this subject. Rosen's relational approach to Biology is an extension and amplification of Nicolas Rashevsky's treatment of n-ary relations in, and among, organismic sets that he developed over two decades as a representation of both biological and social "organisms".

Rosen’s relational biology maintains that organisms, and indeed all systems, have a distinct quality called organization which is not part of the language of reductionism, as for example in molecular biology, although it is increasingly employed in systems biology. It has to do with more than purely structural or material aspects. For example, organization includes all relations between material parts, relations between the effects of interactions of the material parts, and relations with time and environment, to name a few. Many people sum up this aspect of complex systems[9] by saying that the whole is more than the sum of the parts. Relations between parts and between the effects of interactions must be considered as additional 'relational' parts, in some sense.

Rosen said that organization must be independent from the material particles which seemingly constitute a living system. As he put it:

The human body completely changes the matter it is made of roughly every 8 weeks, through metabolism, replication and repair. Yet, you're still you --with all your memories, your personality... If science insists on chasing particles, they will follow them right through an organism and miss the organism entirely.

— Robert Rosen, (as told to his daughter, Ms. Judith Rosen[2])

Rosen's abstract relational biology approach focuses on a definition of living organisms, and all complex systems, in terms of their internal organization as open systems that cannot be reduced to their interacting components because of the multiple relations between metabolic, replication and repair components that govern the organism's complex biodynamics.

He deliberately chose the `simplest' graphs and categories for his representations of Metabolism-Repair Systems in small categories of sets endowed only with the discrete "efficient" topology of sets, envisaging this choice as the most general and less restrictive. It turns out however that the efficient entailments of ${\displaystyle (M{,}R)}$systems are "closed to efficient cause"[10], and thus may not be considered, in a strict mathematical sense, as subcategories of the category of sequential machines or automata: in direct contradiction of the French philosopher Descartes' supposition that all animals are only elaborate machines or mechanisms. Rosen stated: "I argue that the only resolution to such problems [of the subject-object boundary and what constitutes objectivity] is in the recognition that closed loops of causation are 'objective'; i.e. legitimate objects of scientific scrutiny. These are explicitly forbidden in any machine or mechanism."[11] Rosen's demonstration of "efficient closure" was to present this clear paradox in mechanistic science, that on the one hand organisms are defined by such causal closures and on the other hand mechanism forbids them; thus we need to revise our understanding of nature. The mechanistic view prevails even today in most of general biology, and most of science, although some claim no longer in sociology and psychology where reductionist approaches have failed and fallen out of favour since the early 1970s. However those fields have yet to reach consensus on what the new view should be, as is also the case in most other disciplines, which struggle to retain various aspects of "the machine metaphor" for living and complex systems.

The clarification of the distinction between simple and complex scientific models became in later years a major goal of Rosen's published reports. Rosen maintained that modeling is at the very essence of science and thought. His book Anticipatory Systems[12] describes, in detail, what he termed the modeling relation. He showed the deep differences between a true modeling relation and a simulation, the latter not based on such a modeling relation.

In mathematical biology he is known as the originator of a class of relational models of living organisms, called ${\displaystyle (M{,}R)}$systems that he devised to capture the minimal capabilities that a material system would need in order to be one of the simplest functional organisms that are commonly said to be "alive". In this kind of system, ${\displaystyle M}$ stands for the metabolic and ${\displaystyle R}$ stands for the 'repair' subsystems of a simple organism, for example active 'repair' RNA molecules. Thus, his mode for determining or "defining" life in any given system is a functional, not material, mode; although he did consider in his 1970s published reports specific dynamic realizations of the simplest ${\displaystyle (M{,}R)}$systems in terms of enzymes (${\displaystyle M}$), RNA (${\displaystyle R}$), and functional, duplicating DNA (his ${\displaystyle \beta }$-mapping).

He went, however, even further in this direction by claiming that when studying a complex system, one "can throw away the matter and study the organization" to learn those things that are essential to defining in general an entire class of systems. This has been, however, taken too literally by a few of his former students who have not completely assimilated Robert Rosen's injunction of the need for a theory of dynamic realizations of such abstract components in specific molecular form in order to close the modeling loop for the simplest functional organisms (such as, for example, single-cell algae or microorganisms).[13] He supported this claim (that he actually attributed to Nicolas Rashevsky) based on the fact that living organisms are a class of systems with an extremely wide range of material "ingredients", different structures, different habitats, different modes of living and reproduction, and yet we are somehow able to recognize them all as living, or functional organisms, without being however vitalists.

His approach, just like Rashevsky's latest theories of organismic sets,[14][15] emphasizes biological organization over molecular structure in an attempt to bypass the structure-functionality relationships that are important to all experimental biologists, including physiologists. In contrast, a study of the specific material details of any given organism, or even of a type of organisms, will only tell us about how that type of organism "does it". Such a study doesn't approach what is common to all functional organisms, i.e. "life". Relational approaches to theoretical biology would therefore allow us to study organisms in ways that preserve those essential qualities that we are trying to learn about, and that are common only to functional organisms.

Robert Rosen's approach belongs conceptually to what is now known as Functional Biology, as well as Complex Systems Biology, albeit in a highly abstract, mathematical form.

Rosen also questioned what he believed to be many aspects of mainstream interpretations of biochemistry and genetics. He objects to the idea that functional aspects in biological systems can be investigated via a material focus. One example: Rosen disputes that the functional capability of a biologically active protein can be investigated purely using the genetically encoded sequence of amino acids. This is because, he said, a protein must undergo a process of folding to attain its characteristic three-dimensional shape before it can become functionally active in the system. Yet, only the amino acid sequence is genetically coded. The mechanisms by which proteins fold are not completely known. He concluded, based on examples such as this, that phenotype cannot always be directly attributed to genotype and that the chemically active aspect of a biologically active protein relies on more than the sequence of amino acids, from which it was constructed: there must be some other important factors at work, that he did not however attempt to specify or pin down.

Certain questions about Rosen's mathematical arguments were raised in a paper authored by Christopher Landauer and Kirstie L. Bellman which claimed that some of the mathematical formulations used by Rosen are problematic from a logical viewpoint. It is perhaps worth noting, however, that such issues were also raised long time ago by Bertrand Russell and Alfred North Whitehead in their famous Principia Mathematica in relation to antinomies of set theory. As Rosen's mathematical formulation in his earlier papers was also based on set theory and the category of sets such issues have naturally re-surfaced. However, these issues have now been addressed by Robert Rosen in his recent book Essays on Life Itself, published posthumously in 2000. Furthermore, such basic problems of mathematical formulations of ${\displaystyle (M{,}R)}$--systems had already been resolved by other authors as early as 1973 by utilizing the Yoneda lemma in category theory, and the associated functorial construction in categories with (mathematical) structure.[16][17] Such general category-theoretic extensions of ${\displaystyle (M{,}R)}$-systems that avoid set theory paradoxes are based on William Lawvere's categorical approach and its extensions to higher-dimensional algebra. The mathematical and logical extension of metabolic-replication systems to generalized ${\displaystyle (M{,}R)}$-systems, or G-MR, also involved a series of acknowledged letters exchanged between Robert Rosen and the latter authors during 1967—1980s, as well as letters exchanged with Nicolas Rashevsky up to 1972.

Life Itself and also his subsequent book Essays on Life Itself, discuss also rather critically certain quantum genetics issues such as those introduced by Erwin Schrödinger in his famous 1945 book What Is Life?.[18]