output
20092026
most citedDifferent goals in multiscale simulations and how to reach them

37 citations

Showing cs.AIShow all

8 papers · 1 filter

cs.AI2020★ 3 cited

Automatic Knowledge Acquisition for Object-Oriented Expert Systems

Joël Colloc, Danielle Boulanger

We describe an Object Oriented Model for building Expert Systems. This model and the detection of similarities allow to implement reasoning modes as induction, deduction and simula…

cs.AI2020

An Object Model for the Representation of Empirical Knowledge

Joël Colloc, Danielle Boulanger

We are currently designing an object oriented model which describes static and dynamical knowledge in diff{é}rent domains. It provides a twin conceptual level. The internal level p…

cs.AI2020★ 1 cited

A multi-agent ontologies-based clinical decision support system

Ying Shen, Jacquet-Andrieu Armelle, Joël Colloc

Clinical decision support systems combine knowledge and data from a variety of sources, represented by quantitative models based on stochastic methods, or qualitative based rather…

cs.AI2020

Perspectives and Ethics of the Autonomous Artificial Thinking Systems

Joël Colloc

The feasibility of autonomous artificial thinking systems needs to compare the way the human beings acquire their information and develops the thought with the current capacities o…

cs.AI2012★ 4 cited

A multiagent urban traffic simulation

Pierrick Tranouez, Eric Daudé, Patrice Langlois

We built a multiagent simulation of urban traffic to model both ordinary traffic and emergency or crisis mode traffic. This simulation first builds a modeled road network based on…

cs.AI2009★ 37 cited

Different goals in multiscale simulations and how to reach them

Pierrick Tranouez, Antoine Dutot

In this paper we sum up our works on multiscale programs, mainly simulations. We first start with describing what multiscaling is about, how it helps perceiving signal from a backg…