Distributed discrete-event simulation
ACM Computing Surveys (CSUR)
Flocks, herds and schools: A distributed behavioral model
SIGGRAPH '87 Proceedings of the 14th annual conference on Computer graphics and interactive techniques
Object-oriented simulation with hierarchical, modular models: intelligent agents and endomorphic systems
APRIL—Agent PRocess Interaction Language
ECAI-94 Proceedings of the workshop on agent theories, architectures, and languages on Intelligent agents
Modern Control Engineering
Artificial Societies: The Computer Simulation of Social Life
Artificial Societies: The Computer Simulation of Social Life
Agent-Based Modeling vs. Equation-Based Modeling: A Case Study and Users' Guide
Proceedings of the First International Workshop on Multi-Agent Systems and Agent-Based Simulation
Saving Energy and Providing Value Added Services in Intelligent Buildings: A MAS Approach
ASA/MA 2000 Proceedings of the Second International Symposium on Agent Systems and Applications and Fourth International Symposium on Mobile Agents
Artificial decision making under uncertainty in intelligent buildings
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Multiagent-based middleware for the agents' behavior simulation
IWANN'11 Proceedings of the 11th international conference on Artificial neural networks conference on Advances in computational intelligence - Volume Part II
Using personality types to support argumentation
ArgMAS'09 Proceedings of the 6th international conference on Argumentation in Multi-Agent Systems
Norms and learning in probabilistic logic-based agents
DEON'12 Proceedings of the 11th international conference on Deontic Logic in Computer Science
Comparative analysis of agent-based and population-based modelling in epidemics and economics
Multiagent and Grid Systems
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Multi Agent Based Simulation (MABS) has been used mostly in purely social contexts. However, compared to other approaches, e.g., traditional discrete event simulation, object-oriented simulation and dynamic micro simulation, MABS has a number of interesting properties which makes it useful also for other domains. For instance, it supports structure preserving modeling of the simulated reality, simulation of pro-active behavior, parallel computations, and very dynamic simulation scenarios. It is argued that MABS is a useful technique for simulating scenarios also in more technical domains. In particular, this hold for the simulation of technical systems that are distributed and involve complex interaction between humans and machines. To illustrate the advantages of MABS, an application concerning the monitoring and control of intelligent buildings is described.