Designing and Managing Complex Systems

Part I: Cybernetics

1.1 Control and communication

Part II: Learning from systems

2.1 The simplification imperative

2.2 The language of systems

2.3 Classes of systems

2.4 Neurobiological systems

2.5 Sociotechnical systems

2.6 Consilient dynamics across scales

Part III: Creating and managing systems

3.1 Introduction to part 3

3.2 Structure and function

3.3 Capability and adaptive capacity

3.4 Engineering resilience

3.5 Assessing the system properties of your organization

Part IV: Case studies

4.1 Challenger and Columbia

4.2 Walmart, FEMA, and Hurricane Katrina

4.3 Lake Peigneur

4.4 The water temples of Bali

4.5 The global financial crisis

4.6 Continental Airlines

4.7 Three Mile Island

4.8 Cybersyn and the trucking strike

4.9 Biological and informational viruses

4.10 Netflix

4.11 Fukushima

4.12 The Mumbai Dabbawalas

4.13 Flash Crash

4.14 Alphafold 2

Part V: Conclusion

5.1 Consilience with the arts

5.2 Conclusion

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• A ciência cognitiva
• Psicologia educacional
• Consumismo
• Psicologia ocupacional e industrial
• Psicologia experimental
• Fisiológico e neuro-psicologia, biopsicologia
• Geopolítica
• Psicologia
• Cognição e psicologia cognitiva
• Psicologia da criança e do desenvolvimento

ACT-R; Adaptive capacity; Alert signaling network; Alert; Algorithmic decision-making; Allende; Allostasis; Alphafold 2Amino acids; Amplifier; Analysis; Asymmetric belief updating; Autocatalysis; Autonomic; Autonomy; Balinese Water Temple; Behaviors; Bias; Big bang; Capability; Cellular automata; Centralized control; Challenger; Charge; Chile; Chosen simplification; CIA; Collateralized Debt Obligation; Columbia; Communication; Competition; Component; Connectomics; Consilience; Constraint; Constraints; Content; Continental Airlines; Control; Cooling system; Cooperation; Coordination; Cornerstones; Coupling; Covid; Crisis; Customer; Cybernet network; Cybernetics; Cybersyn; Cynefin; Dabba; Dabbawalas; Data; Decentralizing control; Decision; Decompensation; Deep learning; deep learning; Delivery; Disinformation; Diversity; DNA; Domain; DVD; Dynamic Safety Model; Dynamics; Earthquake; Efficiency/Thoroughness trade-off; Emergence; Emergency response; Entrenched simplification; Entropy; Epistemic bubble; Failure boundary; Failure modes; Farmers; Federal Emergency Management Agency; Feedback; Feedwater; Flash Crash; Forced simplification; Fordism; Fractal; Fukushima; Function; Global financial crash; Heuristic; Hierarchical control; High reliability; High-Frequency Traders; Homecooked meals; Homeostasis; Human society; Hurricane Katrina; Identity; Implementation; Interrelatedness; Intersystemic trade-off; Intractability; Iterative learning; Jackson Pollock; Japan; Joint cognitive system; Just culture; Knowledge management; Lake Peigneur; Learning capacity; Leverage; Loan; Machines; Market; Masao Yoshida; Meltdown; Metasystem; Misinformation; Models; Money; Mortgage; Mumbai; NASA; Necessary complexity; Netflix; Networking; Neurobiology; Neuron; New Orleans; Norbert wiener; Normalization of deviance; Nuclear power plant; Nucleosynthesis; Oil; Operating point; Organism; O-ring; Overproceduralization; Performance; Plasticity; Positive feedback; Pressure; Principles; Procedural drift; Procedures; Profit; Protein; Radioactive water; Rainwater; Recursion; Reducer; Reflex; Resilience Engineering; Resilience; Revised viable system model; Rig; R-number; Ross ashby; Salt; SARS-CoV-2Viruses; Saturation; Simplification; Sociotechnical; Space shuttle; Specialization; Stafford beer; Steve Reich; Streaming services; Structural biology; Structure; Subaks; Subsystem; Summary; SYS4KNOWLEDGE; SYS4LEARN; System evolution; System; Systems thinking; Taylorism; Telex machine; Texaco mining company; Theoretic minima; Three Mile Island; Tractability; Tradeoff; Trading program; Transducer; Tri Hita Karana; Tsunami; Viability; Walmart