Design of Complex Systems Research
Blue Eagle Group, Jan 2, 2008
If you need to deal with complex problems, this book will open a door and widen your possibilities to influence them. Complex systems research methodologies used until today include both intuitive and mathematical approaches to approximate solutions. The unicist approach to complexity using ontology-based logical inferences made the solution of complex problems understandable, reasonable and provable. This R&D e-book will give you an introduction to the unicist approach to complexity research. The final goal of a diagnosis is to influence reality. To do so the researcher needs to explain it, but the explanation is only a comprehension framework to exert influence on the environment under study. The research that merely tries to explain a situation becomes an end in itself and therefore tends to be fallacious. All reality that operates as a complex system needs to be approached as a unified field. The unified field is not susceptible to division into variables. Division is only possible when dealing with a non-complex system. A complex system can only be studied as a unit. A very strict methodology, forecast and validation/falsification are required to avoid falling into fallacies that will lead into erroneous diagnoses. This work provides a list of actions to design the research that would permit to diagnose complex problems. It includes the unicist ontology of complex systems research.
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Complex systems research design
Possibilities and probabilities are integrated by the unicist approach
General Bibliography used as basis for the unicist experimental
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action principle active function added value adverbial function analogous analysis anticoncept antithetic value archetypical attractors CAUSAL central value chaos cognitive object Cognitive Science Collective Unconscious complex problems complex realities complex systems research conceptual structure credibility zone cross-cultural invariables culture define destructive test Development diagnose double dialectic Economic energy conservation function experimentation extrinsic concepts Falsification field of application forecast foundation Functional concepts functional structure Future Research fuzzy logic fuzzy set given reality homologous fields implies individuals Inference rules integrative logic laws of evolution Mathematics myths nature nomic ontological approach Ontology of Evolution Operational concepts perception Peter Belohlavek Pilot tests purpose Research on complex scenario building Science scientific secure knowledge simple systems Slovakia Social Social Capital strange attractors strategic style structure of concepts substantive function supplementarity Taxonomy tion Unicist Anthropology unicist approach Unicist Logic Unicist Ontology Unicist Research Institute Unicist technologies Unicist Theory unified field utopia Validation verbal function