Study of Accurate Mental Models: Difference between revisions
Jump to navigation
Jump to search
No edit summary |
No edit summary |
||
| Line 190: | Line 190: | ||
| [https://en.wikipedia.org/wiki/Ludwig_von_Bertalanffy Wikipedia] | | [https://en.wikipedia.org/wiki/Ludwig_von_Bertalanffy Wikipedia] | ||
|} | |} | ||
=Example= | |||
When researching a topic, such as future of energy or solar hydrogen economy based on storage, internal combustion engines or turbines for converting to electricity - give me a list of steps I can execute over a full day (100 steps) of the top resources, thinkers, books, history, technology, companies, science, policy, enterprise, execution, economics, safety, public infrastructure, social reasons, supporting infrastructure, infrastructure tranformation, internal combustion enginesetc - that I would need to study. Give ma as many debiasing methods, including unconventional thinkers, creatives, historians, scientists, distributive entrepreneurs, etc - for a diversity of views and opinions including a fully international approach. | |||
Revision as of 02:16, 15 March 2026
6 Routes to Accurate Mental Models
| Model / Discipline | Core Idea | Field | Key Asset (Explanation) |
|---|---|---|---|
| Epistemology | Philosophical study of knowledge: how beliefs become justified and correspond to truth. | Philosophy | Epistemology – Wikipedia |
| Rationality (Epistemic Rationality / Bayesian Reasoning) | Methods for forming beliefs that match reality, often using probability and evidence updating. | Decision theory / Cognitive science | Formal Epistemology – Wikipedia |
| Mental Model Theory | Humans reason by constructing internal models or simulations of systems and situations. | Cognitive science | Mental Model – Wikipedia |
| Predictive Processing | The brain continuously predicts sensory input and updates internal models to minimize prediction error. | Neuroscience | Predictive Coding / Predictive Processing – Wikipedia |
| Systems Thinking | Understanding complex systems through feedback loops, interdependence, and dynamic behavior. | Systems science / Engineering | Systems Thinking – Wikipedia |
| Cognitive Debiasing | Techniques for correcting systematic errors in reasoning caused by cognitive biases. | Behavioral psychology | Cognitive Bias – Wikipedia |
Top Thinkers who Embody These Techniques
| Thinker | Domain | Signature Modeling Method | Debiasing Technique | Key Asset |
|---|---|---|---|---|
| Donella Meadows | Systems science, ecology, policy | Stocks, flows, feedback loops, leverage points | Forces analysts to move from event-level thinking to structural causation | Wikipedia |
| Jay Forrester | System dynamics | Dynamic simulation of feedback systems | Simulation exposes delayed effects and unintended consequences | Wikipedia |
| Elinor Ostrom | Institutional economics | Institutional Analysis and Development framework | Comparative case studies prevent oversimplified governance models | Wikipedia |
| Philip Tetlock | Forecasting science | Probabilistic forecasting and calibration | Brier scoring and iterative probability updates | Wikipedia |
| Daniel Kahneman | Behavioral economics | Cognitive bias experiments | Structured decision protocols reduce bias | Wikipedia |
| Thomas Schelling | Game theory, geopolitics | Strategic interaction models | Incentive analysis counters attribution bias | Wikipedia |
| John Sterman | System dynamics, management | Simulation of policy resistance | Model testing reveals hidden assumptions | Wikipedia |
| Herbert Simon | Organizational theory, AI | Bounded rationality models | Recognizes cognitive limits and satisficing behavior | Wikipedia |
| Nassim Nicholas Taleb | Risk and uncertainty | Tail risk analysis and antifragility | Stress testing assumptions and highlighting unknowns | Wikipedia |
| Daron Acemoglu | Political economy | Institutional comparative analysis | Natural experiments and cross-country comparisons | Wikipedia |
| Douglass North | Economic history | Institutional evolution models | Historical comparison prevents ahistorical reasoning | Wikipedia |
| James C. Scott | Political anthropology | State legibility vs local knowledge analysis | Field observation counters planner bias | Wikipedia |
| Amartya Sen | Development economics | Capability approach | Avoids metric fixation on GDP | Wikipedia |
| Amos Tversky | Cognitive psychology | Heuristic and bias experiments | Identifies systematic judgment errors | Wikipedia |
| George Box | Statistics | Iterative model testing | “All models are wrong” prevents model reification | Wikipedia |
| Peter Senge | Organizational learning | Mental model surfacing and shared learning | Collective reflection on hidden assumptions | Wikipedia |
| Mancur Olson | Political economy | Collective action theory | Incentive analysis counters naive cooperation assumptions | Wikipedia |
| Albert O. Hirschman | Development economics | Possibilism and adaptive policy discovery | Rejects deterministic models of development | Wikipedia |
| Jane Jacobs | Urban economics | Grounded observation of urban systems | Direct observation counters planner abstraction | Wikipedia |
| Vaclav Smil | Energy systems, civilization metabolism | Quantitative analysis of energy and material flows | Physical constraints counter ideological narratives | Wikipedia |
| Russell Ackoff | Systems design | Interactive planning and system redesign | Prevents suboptimization of system parts | Wikipedia |
| Stafford Beer | Cybernetics | Viable system model | Information-flow analysis counters centralization bias | Wikipedia |
| Gregory Bateson | Systems ecology, epistemology | Pattern recognition across feedback systems | Observer reflexivity prevents category bias | Wikipedia |
| Ludwig von Bertalanffy | General systems theory | Open systems analysis | Counters reductionism with holistic modeling | Wikipedia |
Example
When researching a topic, such as future of energy or solar hydrogen economy based on storage, internal combustion engines or turbines for converting to electricity - give me a list of steps I can execute over a full day (100 steps) of the top resources, thinkers, books, history, technology, companies, science, policy, enterprise, execution, economics, safety, public infrastructure, social reasons, supporting infrastructure, infrastructure tranformation, internal combustion enginesetc - that I would need to study. Give ma as many debiasing methods, including unconventional thinkers, creatives, historians, scientists, distributive entrepreneurs, etc - for a diversity of views and opinions including a fully international approach.