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Introduction | |
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"Significant points" in the study of complex systems | |
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Organization and Program | |
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Transcripts | |
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Can there be a science of complex systems? | |
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General systems theory? | |
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Some principles of complex system design | |
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Organizations and markets | |
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Conclusion | |
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Evolution | |
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Selection and production | |
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Variation | |
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Psychology and corporations: A complex systems perspective | |
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Genome complexity (Session introduction: Emergence) | |
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Emergent properties and behavior of the atmosphere | |
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Systems properties of metabolic networks | |
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A hypothesis about hierarchies | |
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Session introduction: Informatics | |
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Whole genome bioinformatics | |
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Session introduction: Computational methods | |
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Papers | |
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Theories in (inter) action: A complex dynamic system for theory evaluation in Science Studies | |
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Modeling fractal patterns with Genetic Algorithm solutions to a variant of the inverse problem for Iterated Function Systems (IFS) | |
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Introduction | |
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Encoding the IFS on a GA | |
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The GA search | |
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Applications | |
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Conclusions | |
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An artificial life model for investigating the evolution of modularity | |
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Introduction | |
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The model | |
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Preliminary results | |
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Conclusions | |
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From inductive inference to the fundamental equation of measurement | |
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Introduction | |
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The evolution of a model during learning | |
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Shannon entropy | |
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Conclusion | |
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Controlling chaos in systems of coupled maps with long-range interactions | |
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Introduction | |
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Model and results | |
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Discussion | |
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Assessing software organizations from a complex systems perspective | |
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Introduction | |
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The software process and its evaluation | |
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A metaphor for the software process: Morphogenesis | |
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Conclusion | |
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Hazards, self-organization, and risk compensation: A view of life at the edge | |
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Introduction | |
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Self-organized criticality | |
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Risk compensation | |
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Hazards and the balancing act | |
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Statistics and indicators | |
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Multifactor disasters | |
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Risk compensation and progress | |
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Summary | |
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Structure formation by Active Brownian particles with nonlinear friction | |
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Introduction | |
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Self-moving particles | |
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Systems properties of metabolic networks | |
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Introduction | |
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Steady state of a metabolic network | |
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Metabolic control analysis | |
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Feedback regulation | |
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Large changes in metabolic rate | |
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Hierarchical organisation of metabolism | |
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Complex dynamics of molecular evolutionary processes | |
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Introduction | |
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Biomolecules | |
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Evolutionary dynamics | |
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Catalytic reaction networks | |
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Conclusion | |
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Genetic network inference | |
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Introduction | |
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Methods | |
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Results | |
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Discussion | |
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Abbreviations | |
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Socioeconomic systems as complex self-organizing adaptive holarchies: The dynamic exergy budget | |
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Introduction | |
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Efficiency and adaptability (hypercyclic and purely dissipative compartment) | |
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The dynamic exergy budget | |
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The scale issue: Environmental loading and need for adaptability | |
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Conclusion | |
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Socioeconomic systems as nested dissipative adaptive systems (holarchies) and their dynamic energy budget: Validation of the approach | |
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Setting up the data base | |
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BEP as an indicator of development for socioeconomic systems | |
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Existence of an internal set of constraints on the evolutionary pattern of socio-economic systems | |
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Establishing links across levels to check the feasibility of future scenarios | |
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The demographic transition as a shift between two metastable equilibrium points of the dynamic energy budget | |
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Psychology and corporations: A complex systems perspective | |
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Introduction | |
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Organizations as currently organized | |
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Using organizations to study complex systems | |
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Leadership as an emergent phenomenon | |
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Conclusion: The need for a sufficiently rich complex systems perspective | |
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Symmetry breaking and the origin of life | |
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Thermodynamics and dissipative systems | |
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Statistical mechanics | |
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Cellular automata | |
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Complexity and functionality: A search for the where, the when, and the how | |
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Complexity with an attitude--but which one? | |
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Reductionism | |
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In search for new laws | |
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Where and when and how | |
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From where to when | |
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From where and when to how | |
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Conclusion and outlook | |
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Biological design principles that guide self-organization, emergence, and hierarchical assembly: From complexity to tensegrity | |
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Introduction | |
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Complexity in living systems | |
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Cellular tensegrity | |
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Mechanochemical control of biochemistry and gene expression | |
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The architecture of life | |
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The evolution of form | |
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Conclusion: Simplicity in complexity | |
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Information transfer between solitary waves in the saturable Schrodinger equation | |
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Introduction | |
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Information transfer | |
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Computational power | |
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The NLS equation and its solutions | |
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Information transfer in collisions of NLS solitary waves | |
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Radiation | |
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Physical realization | |
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Conclusions | |
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An integrated theory of nervous system functioning embracing nativism and constructivism | |
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Introduction | |
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Fundamentals of an integrated theory | |
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The case of language | |
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Diagrammatic representation of relationships discussed | |
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Summary | |
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Toward the physics of "death" | |
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Introduction | |
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Death | |
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Levels of major complexity | |
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Involution and levels of selection | |
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Ragnar Frisch at the edge of chaos | |
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Will capitalism collapse or equilibrate? | |
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A shared judgement | |
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Conclusions | |
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Programming complex systems | |
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Introduction | |
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The lambda calculus | |
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The lambda-p calculus | |
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The lambda-q calculus | |
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Simulation to quantum computers | |
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Conclusion | |
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Towards the global: Complexity, topology and chaos in modelling, simulation and computation | |
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Introduction | |
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Hierarchical efficiency | |
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Topology induces complexity | |
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Finite topology | |
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Economics and politics | |
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Complexity and chaos | |
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Consequences | |
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An effect of scale in a non-additive genetic model | |
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Introduction | |
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Methods | |
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Results | |
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Discussion | |
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Parallel computational complexity in statistical physics | |
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Introduction | |
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Parallel complexity theory | |
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Example: Parallel algorithm and dynamic exponent for DLA | |
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Summary | |
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Statistical models of mass extinction | |
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Introduction | |
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The fossil data | |
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Models of extinction | |
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Conclusions | |
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A dual processing theory of brain and mind: Where is the limited processing capacity coming from? | |
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Introduction | |
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Mapping in neural networks | |
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Oscillations and synchrony in neural firing | |
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Controlled and automatic processes in the brain | |
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Is dynamical neural activity responsible for controlled processes? | |
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Derived hypothesis | |
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Conclusions | |
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Evolutionary strategies of optimization and the complexity of fitness landscapes | |
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Introduction | |
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Evolutionary strategies | |
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The density of states | |
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Examples | |
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Secondary RNA structures | |
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Conclusions | |
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Conformational switching as assembly instructions in self-assembling mechanical systems | |
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Introduction | |
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Related work | |
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A case study | |
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A formal model | |
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Summary | |
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Aggregation and the emergence of social behavior in rat pups modeled by simple rules of individual behavior | |
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Introduction | |
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Basic strategy | |
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Aggregation in autonomous individuals | |
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The emergence of synchronized social behavior | |
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Mechanisms of aggregation | |
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Conclusions | |
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The role of information in simulated evolution | |
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Introduction | |
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The information hierarchy | |
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The population level | |
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The individual level | |
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Discussion | |
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Emergence of complex ecologies in ECHO | |
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Motivation and context | |
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The statistics | |
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The ECHO model | |
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Individual ECHO runs | |
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Conclusion | |
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Spatial correlations in the contact process: A step toward better ecological models | |
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Introduction | |
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Introduction to the contact process | |
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Simulation details | |
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Measures of heterogeneity | |
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Theoretical predictions | |
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Discussion | |
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Many to one mappings as a basis for life | |
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Criteria for life | |
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The principle of many to one mapping | |
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Many to one mappings in the origins of life and evolution of complex networks | |
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Outlook | |
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Generic mechanisms for hierarchies | |
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Introduction | |
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What is 'discrete scale invariance' | |
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Properties | |
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Mechanisms leading to DSI and examples | |
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Emergence in earthquakes | |
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Introduction | |
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Role of water and phase transformations | |
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Consequences and predictions | |
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Chemical oscillation in symbolic chemical system and its behavioral pattern | |
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Introduction | |
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Model | |
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Classification of behavioral pattern of ARMS | |
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Condition of cycles emergence | |
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Related work | |
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Extinction dynamics in a large ecological system with random interspecies interactions | |
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Introduction | |
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Model | |
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Results | |
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Estimation of induction time | |
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Discussion | |
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Functional differentiation in developmental systems | |
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Association and dissociation of system elements | |
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Compatibility model | |
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What parameters describe functions?--Life on the flow | |
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Development of a system is a specialization of its elements | |
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Tuning complexity on randomly occupied lattices | |
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Introduction | |
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Diversity and complexity | |
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Tuning effect and critical probabilities | |
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Scaling relations | |
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Conclusion | |
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Socioeconomic organization on directional resource landscapes | |
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Introduction and motivation | |
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Background and methodology | |
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Spatially distributed agent model | |
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Results and discussion | |
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"Continuous time" in Feigenbaum's model | |
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Introduction | |
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Expressions with continuous parameter | |
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The functions IF[subscript lambda] for [lambda] = 2, 4 | |
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An application to fractals: Mandelbrot set | |
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Conclusion and possible applications | |
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Ordering chaos in a neural network with linear feedback | |
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Introduction | |
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System and analysis | |
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Summary and conclusions | |
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Self-organisation and information-carrying capacity of collectively autocatalytic sets of polymers: Ligation systems | |
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Introduction | |
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Dynamics of autocatalysis | |
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Ligation/cleavage systems | |
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Conclusion | |
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Self-dissimilarity: An empirically observable complexity measure | |
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Introduction | |
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Self-dissimilarity | |
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Probabilistic measures of self-dissimilarity | |
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Discussion | |
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Complexity and order in chemical and biological systems | |
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Introduction | |
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Order | |
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Structural complexity of point systems | |
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The simple molecules | |
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Wing patterns of the butterfly Bicyclus anynana | |