When Agents Emerge from Agents: Introducing Multi-scale Viewpoints in Multi-agent Simulations

1998 ◽  
pp. 183-198 ◽  
Author(s):  
David Servat ◽  
Edith Perrier ◽  
Jean-Pierre Treuil ◽  
Alexis Drogoul
Keyword(s):  
Multi Scale ◽  
Multi Agent

scholarly journals Using GPU for Multi-agent Multi-scale Simulations

2012 ◽  
pp. 197-204 ◽  
Author(s):  
G. Laville ◽  
K. Mazouzi ◽  
C. Lang ◽  
N. Marilleau ◽  
L. Philippe
Keyword(s):  
Multi Scale ◽  
Multi Agent

scholarly journals Towards Engineering Biosystems with Emergent Collective Functions

2020 ◽  
Author(s):  
Thomas E. Gorochowski ◽  
Sabine Hauert ◽  
Jan-Ulrich Kreft ◽  
Lucia Marucci ◽  
Namid R. Stillman ◽  
...  
Keyword(s):  
Synthetic Biology ◽  
Multiple Scales ◽  
Multi Scale ◽  
Multiple Length Scales ◽  
Large Populations ◽  
Multi Agent ◽  
Underlying Mechanisms ◽  
The Individual ◽  
Biological Computation ◽  
Core Features

Many complex behaviours in biological systems emerge from large populations of interacting molecules or cells, generating functions that go beyond the capabilities of the individual parts. Such collective phenomena are of great interest to bioengineers due to their robustness and scalability. However, engineering emergent collective functions is difficult because they arise as a consequence of complex multi-level feedback, which often spans multiple length-scales. Here, we present a perspective on how some of these challenges could be overcome by using multi-agent modelling as a design framework within synthetic biology. Using case studies covering the construction of synthetic ecologies to biological computation and synthetic cellularity, we show how multi-agent modelling can capture the core features of complex multi-scale systems and provide novel insights into the underlying mechanisms which guide emergent functionalities across scales. The ability to unravel design rules underpinning these behaviours offers a means to take synthetic biology beyond single molecules or cells and towards the creation of systems with functions that can only emerge from collectives at multiple scales.

Unique Applications of Multi-Agent Models in Uncovering Language Learning Processes

2008 ◽  
pp. 142-173
Author(s):  
Teresa Satterfield
Keyword(s):  
Second Language ◽  
Second Language Acquisition ◽  
Language Acquisition ◽  
Language Learning ◽  
Language Change ◽  
Learning Processes ◽  
Multi Scale ◽  
Artificial Societies ◽  
Multi Agent ◽  
Language Emergence

Multi-scale “artificial societies” are constructed to examine competing first- and second-language acquisition-based theories of creole language emergence. Sociohistorical conditions and psycholinguistic capacities are integrated into the model as agents (slaves and slave-owners) interact. Linguistic transmissions are tracked, and grammar constructions are charted. The study demonstrates how a CAS approach offers clear indications for computational solutions to questions of language change and formation.

AUTONOMY AND CONTROL OF ADAPTIVE SYSTEMS OF SYSTEMS

2012 ◽  
Vol 03 (01) ◽  
pp. 1240002 ◽  
Author(s):  
MHAMED ITMI ◽  
ALAIN CARDON
Keyword(s):  
Adaptive Systems ◽  
Unified Approach ◽  
Systems Of Systems ◽  
Agent Model ◽  
Multi Scale ◽  
Multi Agent ◽  
Living Organisms ◽  
And Behavior ◽  
And Control ◽  
Scale Control

We propose a unified approach for systems integration and behavior regulation expressing the autonomy of Systems of Systems. For this, we precise the notion of autonomy as a transposition of the living organisms case and we develop the notion of artificial tendencies and behavioral intentions. We present a multi-agent model allowing the implementation with a new multi-scale control.

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