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October 3, Torino1 cover Introduction by Pietro Terna Dipartimento di Scienze economiche e finanziarie G.Prato, Università di Torino

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Presentation on theme: "October 3, Torino1 cover Introduction by Pietro Terna Dipartimento di Scienze economiche e finanziarie G.Prato, Università di Torino"— Presentation transcript:

1 October 3, 2003Wild@Ace, Torino1 cover Introduction by Pietro Terna Dipartimento di Scienze economiche e finanziarie G.Prato, Università di Torino pietro.terna@unito.it web.econ.unito.it/terna Workshop on Industry and Labor Dynamics. The Agent-based Computational Economic approach

2 October 3, 2003Wild@Ace, Torino2 _Simulation _______________________________________ From the simulation as a (assisted, opaque) mental experiment … _______________________________________

3 October 3, 2003Wild@Ace, 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 www.stanford.edu/group/pandegroup/folding/ folding of an alpha helix using distributed dynamics

4 October 3, 2003Wild@Ace, Torino4 _Agent-based choice _______________________________________ … to ACE, Agent-based Computational Economics and, more generally, ABS, Agent-based Simulation _______________________________________

5 October 3, 2003Wild@Ace, Torino5 interaction among individuals From www.icosystem.com/ 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

6 October 3, 2003Wild@Ace, 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

7 October 3, 2003Wild@Ace, Torino7 _How to use agents _______________________________________ How to use agents in simulation models: a radical view _______________________________________

8 October 3, 2003Wild@Ace, 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

9 October 3, 2003Wild@Ace, Torino9 _A general structure _______________________________________ A general structure for agent-based simulation models _______________________________________

10 October 3, 2003Wild@Ace, Torino10 ERA http://web.econ.unito.it/terna/ct-era/ct-era.html NN CS GA Avatar

11 October 3, 2003Wild@Ace, Torino11 _An application: enterprise simulation _______________________________________ An application: enterprise simulation _______________________________________

12 October 3, 2003Wild@Ace, Torino12 1-2 2-13 8-28-27-7... market Enterprise front end units our jES (a swarm of units) FE 28 8 27 A system of enterprises and micro productive units (a swarm) FE recipes enterprise simulation (1) Recipes and production units 7 7

13 October 3, 2003Wild@Ace, Torino13 enterprise simulation (2) 8-28-27-7 units FE 28 8 27 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

14 October 3, 2003Wild@Ace, Torino14 the relevance of our work … relevance needed …


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