(sigemb-info 411) [GRACE-staffs] [GRACE-announce] [event-info] The 22nd GRACE Seminar, (June 17th)

["Yumi YAMASAKI" <yumi1007@xxxxxxxxx>]

ご関係者各位

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本ＭＬをお借りいたしまして
第22回GRACEセミナー（6/17）のご案内を差し上げます。

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ご了承くださいますようお願い申し上げます。

田口　研治（ＮＩＩ）
Tel：03-4212-2604
e-mail：ktaguchi@xxxxxxxxx

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第22回先端ソフトウェア科学・工学に関するGRACEセミナーのご案内
The 22nd GRACE Seminar on Advanced Software Science and Engineering

下記の日程で、第22回GRACEセミナーを開催いたします。

  第22回 GRACEセミナー
  日時：2009年6月17日（水） 15:00-16:00
  場所：国立情報学研究所(NII) 15階会議室(1509)

参加費は無料です。
参加をご希望の方は、下記アドレスまで、セミナー前日まで
必要事項を記入し，"22nd GRACE Seminar"というタイトルで
電子メールでご登録をお願いします。

 登録アドレス：event-info@xxxxxxxxxxxxxxx
 必要事項：お名前、所属、メールアドレス

I am pleased to announce the 22nd GRACE Seminars on 
Advanced Software Science and Engineering to be held 
on June 17th (Wed).

The registration fee is free but it is needed to register 
your name, affiliation and e-mail address in advance.
Please send a mail titled "22nd Grace Seminar"
including the information to event-info@xxxxxxxxxxxxxxxx

We are looking forward to meeting you at the GRACE seminars.

You can find the detailed information below:

=====================================================================
Details：
Speaker: Dr. Stéphane Bonneaud, European Center for Virtual Reality
Title: 
"Model-agents for the modeling and simulation of complex systems:
  application to the ecosystemic of fisheries"
Abstract:
 We study the modeling process for the simulation of 
complex systems. The modeling and simulation processes 
are complex, therefore the modeling has to be rationalized 
and control gained over it. Our proposition is to conceive 
the complex model as a society of models in interaction. 
We apply the pattern oriented approach to rationalize the 
modeling by focusing it on the data. We use the agent 
approach to distribute the observation and control in the 
global model. The society of models thus enables the 
emergence of the patterns through the agent's activities. 
The artefacts, applied to the modeling, support the data, 
the patterns and the agent's interactions. The coupling of 
the agents is therefore done through the artefacts, which 
is different from an approach based on events. 
We identify three types of agents: 
(1) the model-agents that execute the model of a phenomenon; 
(2) the observator-agents that build up observables, 
(3) the controller-agents that locally control the global model. 
The agents are also able to adapt to their environment using 
operations to modify their perceptions and actions. 
The complex model can be therefore incrementally built, 
the agent's behaviors can easily be modified, and an agent 
can be added or removed from the global model without impact 
on the structure of the other agents. 
At last, we identify four types of behaviors for model-agents: 
(1) based on differential equations (intensional); 
(2) individual based (emergent) ; 
(3) based on raw data or pre-calculated (extensional) ; 
(4) played by an expert (participatory ). 
To go even further in the rationalization of the modeling, 
we exhibit computational biases induced by the translation of 
conceptual models of agent populations into computational models. 
We show that our models are very sensitive to the studied biases. 
It is necessary for thematicians --domain experts-- to know the 
sources of those biases and the simulation tool must be 
specialized in order to: 
(1) explicit the model, 
(2) guarantee the identified properties and 
(3) make systematic analysis. 
This is what we have done in our simulator. 
Finally, this work takes place in the ANR project Chaloupe. 
The challenge here is to envision the co-viability of ecological 
populations and of their exploitations by social groups (e.g. fisheries). 
We show our simulation results, confirming by this mean that 
the society of models enables a flexible and rigorous modeling.

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