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Explore the profound shift from Neoclassical Economics to Complexity Economics, diving into the concept of convexity, feedback mechanisms, and self-organization. Discover the role of institutions in shaping choices and the emergent properties of self-organizing systems. Delve into the dynamics of chaotic and complex systems, emphasizing the importance of information dispersion and relative variables in economic models.
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Sami Al-Suwailem IRTI - IDB
Coined by Brian Arthur (1999) • Attracting more attention • Promising with great potential • Still needs more precise characterization
Probably the most fundamental property of Neoclassical Economics (NE) • Convexity can be viewed as an organizing principle of the comparison between NE and CE • Any combination of two points in the set belongs to the same set
Convexity precludes novelty by design: combinations always belong to the same set • No innovations or creativity • No learning or R&D • No entrepreneurship
Convexity allows only negative feedback; positive feedback is not allowed • Equilibrium, static system • No dynamics, no self-organization
Maximization requires convexity • Path-independence: Choice process or act of choice is ignored • No place for emotions, ethics, values, and social relations
NE assumes perfectly divisible commodities • Real numbers exclude Diophantine problems • But if commodities are indivisible, we cannot use real numbers • Rational numbers are non-convex • Diophantine problems are not decidable
Neoclassical Economics Complexity Economics • Novelty not allowed • Negative feedback • Maximization • Path-independent • Decidable • Perpetual novelty • Negative and positive • Satisficing • Path-dependent • Undecidable
Institutions can be seen as factors for “convexifying” the choice set • Convexity might not be always bad! • A promising line of research
Self-organization—structure • Emergence—function
Global order via local interactions • Implies positive-feedback—excluded by convexity • Examples: • Bird flocks • Fireflies
“The whole is greater than the sum” • Self-organizing system is able to perform functions the sum cannot • Implies novelty—excluded by convexity
“Swarm Intelligence” • “Group Genius” • “Wisdom of the Crowds”
Both exhibit nonlinear dynamics and universality • Different nature and properties
Chaotic Systems Complex Systems • Indistinguishable from random behavior • Ergodic • Non-adaptive • Basin of attraction computable • Not capable of universal computation • Path-independent • Recognizable patterns and order • Non-ergodic • Adaptive • Basin of attraction not computable • Capable of universal computation • Path-dependent
Fireflies, bird flocks, fish schools, … • Agents react to two sources of information: • Environment—exogenous variables • Local neighbors—endogenous variables
Each agent has a piece of knowledge regarding target or objective • Relative variables communicate the knowledge to neighbors • As each agent adjusts to its neighbors, the whole group synchronizes to the environment • Knowledge therefore becomes integrated
“The problem is thus in no way solved if we can show that all of the facts, if they were known to a single mind … would uniquely determine the solution; instead, we must show how a solution is produced by the interactions of people, each of whom possesses only partial knowledge”
Dispersed information zi must be consistent • An aggregator function must exist: • Fneed not be computable • Agents need not know F but they need to know it does exist
If independent variables dominate: stagnant order • If relative variables dominate: chaos • Complexity lies at the edge between order and chaos
Relative variables: the “self” part • Independent variables: “organization” part
Missing from mainstream NE • Supported by behavioral and social studies • Also by physical sciences (spin glass) • A point of departure of CE from NE • But can be a point for extending NE
Consumption is presented as a function of income (and wealth) • How about consumption of local neighbors? • “Social capital” • “Social multiplier”
As agents get different incomes, they cannot have equal consumption • How to react to “consumption gap”? • Move to different neighbors—Schelling model • Trade—labor market • Borrow—different modes of finance • Donate—philanthropic institutions
Simple (NE): • Complex: • How this affects economic variables?
NetLogo 3.1.4 • 1225 patches (agents); 8 neighbors • 1500 periods • 30 runs • Income is exogenous, uniformly distributed across agents; normally distributed across time • Gap is closed using interest-free lending
Surpluses are managed centrally • Deficits are financed from accumulated surpluses • Loans are extended based on available funds
Total assets = total cash + total credit • Total cash = cum (total-surplus + total-principal-payment – total-loans) • Net wealth (i) = share in total assets – debt • Share (i) = (acc. surplus) / sum (acc. surplus) • Total credit = total debt
Desired Consumption surplus deficit Loans Loanable funds Consumption, wealth
Sum (net-wealth) = total cash • Sum (shares) = 1 • Income + loan – consumption – surplus – installment = 0
Smoother consumption • Higher wealth • More efficient fund utilization
Relative behavior smoothes out consumption • Smoothing reduces excessive consumption, thus adding to wealth • Connectedness facilitates channeling funds to deficit agents • Higher net-worth and higher efficiency
Relative behavior deserves more attention • Agent-based simulation provides a rich environment for research • Extensions to investment and capital markets