Presentation on theme: "“The Elephant Lecture” INBIOSA, Sterling 29 Aug. 2011 Gerard Jagers op Akkerhuis (the slides are accompanied by notes!!)"— Presentation transcript:
“The Elephant Lecture” INBIOSA, Sterling 29 Aug. 2011 Gerard Jagers op Akkerhuis (the slides are accompanied by notes!!)
What is the problem? Existing attempts at integration seem not to solve “hard” problems (INBIOSA) Progress of science is blocked Why is this a problem? Can this challenge be met? Is there an elephant in the room? But where to search for an “invisible”elephant?…
Use four straight lines and connect all dots without lifting the pen from the paper Maybe the elephant hides outside our view?
Biosphere Ecosystem Community Organ systems Population Organisms Organelles Organs Tissues Molecules Atoms Cells Fundamental particles Miller: Living systems An example of a conventional approach to system organization How is this constructed?
Biosphere Ecosystem Community Organ systems Population Organisms Organelles Organs Tissues Molecules Atoms Cells Fundamental particles What have we learned from our example? Are we maybe “cheating” by fitting a straight line through more-dimensional data?
Organelles Population Biosphere Ecosystem Community Molecules Atoms Cells (bacteria sl) Fundamental particles Endosymbionts Multicellulars Biosphere Ecosystem Community Organ systems Population Organisms Organelles Organs Tissues Molecules Atoms Cells Fundamental particles Organs Tissues Organ systems Organs Organ systems The operator hierarchy Let’s consider the separate steps in detail:
Organelles Population Biosphere Ecosystem Community Organs Tissues Organ systems Organs Organ systems Molecules Atoms Cells (bacteria sl) Fundamental particles Endosymbionts Multicellulars Hadrons INWARD: Internal differentiations UPWARD: Operators OUTWARD: Interaction systems Miller: Living systems can be improved
The operator hierarchy depends on ‘closure’: cyclic process > cyclic shape > distinguishes a particle from its environment (Heylighen) Closure as the operator hierarchy uses it, is caused by: a new cyclic shape and a new cyclic process, which together create the first-next level of selforganization For example: }
2.Interaction systems 1.Operators (first-next possible closure) 3.Internal differentiation
interfacehypercyclemulti-particleHMISCISAE closure dimensions closure levels particles quark-gluon interaction hadron atom cell memon atom nucleus confinement electron shell euk. multicell. neuron cycle sensors cell membrane autocatalysis molecule eukaryote cell predictions multicellular The operator hierarchy Mind that grey bars represent intermediate system states required to create the operators
The operator hierarchy Interesting theory, but what is it good for? Examples of applications….
- Not relevant: Metabolism - Not relevant: Reproduction + Hierarchical definition Application 1: Life (not ‘living’!) = all operators from the level of the cell and up - Not only relevant: First cell + Basic structures: operators + No circularity
multicellulars Memons unicellular endosymbionts bacteria sl Application 2: an additional level in the ‘tree of life’
Application 3: The future of evolution As soon as we provide these things, which we regard as “machines”, with the appropriate neural structure, they fit to the operator hierarchy and are life
Summary: Life Memon Future In other words… Closure Three dimensions for hierarchy Operator hierarchy An integration framework across disciplines A tool for analysis
Thank you for your attention Gerard Jagers op Akkerhuis email@example.com and www.hypercycle.nl firstname.lastname@example.org The operator hierarchy An “invisible” elephant in the room