October 3, Torino1 cover Introduction by Pietro Terna Dipartimento di Scienze economiche e finanziarie G.Prato, Università di Torino web.econ.unito.it/terna Workshop on Industry and Labor Dynamics. The Agent-based Computational Economic approach

October 3, Torino2 _Simulation _______________________________________ From the simulation as a (assisted, opaque) mental experiment … _______________________________________

October 3, Torino3 molecular interaction and protein Folding the smallest protein one could imagine: a single alpha helix. A complex structure generated from elemetary rules about inter-molecular interaction From folding of an alpha helix using distributed dynamics

October 3, Torino4 _Agent-based choice _______________________________________ … to ACE, Agent-based Computational Economics and, more generally, ABS, Agent-based Simulation _______________________________________

October 3, Torino5 interaction among individuals From pt A B pt looks at A as its defender at to B as an offender or pt has to defend A from B action

October 3, Torino6 simulation and agent models Social simulation as a computer based way to execute complex mental experiments, but also as a via to represent the complexity of real world simulation = agent-based models

October 3, Torino7 _How to use agents _______________________________________ How to use agents in simulation models: a radical view _______________________________________

October 3, Torino8 a radical view The radical characterization of an ABM must be found into the possibility of real – direct or indirect – interaction amid the agents, instead of modeling it in a simplified way with aggregate simultaneous equations

October 3, Torino9 _A general structure _______________________________________ A general structure for agent-based simulation models _______________________________________

October 3, Torino10 ERA NN CS GA Avatar

October 3, Torino11 _An application: enterprise simulation _______________________________________ An application: enterprise simulation _______________________________________

October 3, Torino market Enterprise front end units our jES (a swarm of units) FE A system of enterprises and micro productive units (a swarm) FE recipes enterprise simulation (1) Recipes and production units 7 7

October 3, Torino13 enterprise simulation (2) units FE FE 7 ? ? a b c The orders are placed in the unit waiting lists and executed according to the FIFO criterion x we have the phases a, b, c, then in x we have a choice problem Recipes on move 7 Avatar, genetic algorithms, classifier systems to experiment and to simulate the effects of decision making: experiments in a usual context soft computing applications

October 3, Torino14 the relevance of our work … relevance needed …