Date
2004-06
Dewey
Intelligence artificielle
Sujet
simulation multi-agents
Conference name
18th European Simulation Multiconference, ESM’04 : Networked simulations and simulated networks
Conference date
06-2004
Conference city
Magdeburg
Conference country
Allemagne
Type
Communication / Conférence
Item number of pages
7
Abstract (EN)
In this paper, we propose an interaction model which
allows more realistic interactions for simulations of
human societies and limits the communication cost.
Interaction is a central concept when designing a multiagent
system. Classically, interaction between two
agents contains two elements: communication and the
action which is the result of this information exchange.
This view of interaction has underpinned most research
in the multi-agent domain. However, if we draw an
analogy with human behavior, the notion of interaction
is more complex and we show that the classical ways of
interaction managing are not adapted. To reach this
objective, the environment could be used to mediate
interaction between agents. A toy problem shows that
our proposition helps the agents to adapt their
perception of communications in the light of their
interest and limits the communication cost in case of
complex interactions between agents. A real application
stemming from the transportation domain illustrates the
use of our proposition to help agents to adapt their
behavior to the context.