cover

October 3, 2003 Wild@Ace, Torino 1

cove

r

Introduction by Pietro Terna

Dipartimento di Scienze economiche e finanziarie G.Prato, Università di [email protected] web.econ.unito.it/terna

Workshop on Industry and Labor Dynamics. The Agent-based Computational Economic approach

October 3, 2003 Wild@Ace, Torino 2

_Sim

ulat

ion

_______________________________________

From the simulation as a (assisted, opaque) mental experiment …

_______________________________________

October 3, 2003 Wild@Ace, Torino 3

mol

ecul

ar in

tera

ctio

n an

d pr

otei

n

• Folding the smallest protein one could imagine: a single alpha helix.

• A complex structure generated from elemetary rules about inter-molecular interaction

helix30.mpeg From www.stanford.edu/group/pandegroup/folding/

folding of an alpha helix using distributed dynamics

October 3, 2003 Wild@Ace, Torino 4

_Age

nt-b

ased

cho

ice

_______________________________________

… to ACE, Agent-based Computational Economics and, more generally,

ABS, Agent-based Simulation

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October 3, 2003 Wild@Ace, Torino 5

inte

ract

ion

amon

g in

divi

dual

s

From www.icosystem.com/

Collegamento a game_launch.htm.lnk

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, 2003 Wild@Ace, Torino 6

sim

ulat

ion

and

agen

t mod

els

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

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_How

to u

se a

gent

s

_______________________________________

How to use agents in simulation models:

a radical view

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October 3, 2003 Wild@Ace, Torino 8

a ra

dica

l vie

w

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, 2003 Wild@Ace, Torino 9

_A g

ener

al s

truct

ure

_______________________________________

A general structure for agent-based simulation models

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October 3, 2003 Wild@Ace, Torino 10

ERA

http://web.econ.unito.it/terna/ct-era/ct-era.html

NNCSGA

Avatar

October 3, 2003 Wild@Ace, Torino 11

_An

appl

icat

ion:

ent

erpr

ise

sim

ulat

ion

_______________________________________

An application: enterprise simulation _______________________________________

October 3, 2003 Wild@Ace, Torino 12

1-22-138-28-27-7...

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

ente

rpris

e si

mul

atio

n (1

)Recipes and production units

7

7

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ente

rpris

e si

mul

atio

n (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

October 3, 2003 Wild@Ace, Torino 14

the

rele

vanc

e of

our

wor

k

… relevance needed …