%0 Journal Article %1 abar2017agent %A Abar, Sameera %A Theodoropoulos, Georgios K. %A Lemarinier, Pierre %A O’Hare, Gregory M.P. %D 2017 %J Computer Science Review %K Agent Based Modelling Simulation and mas multi overview platform review sota tools %P 13 - 33 %R https://doi.org/10.1016/j.cosrev.2017.03.001 %T Agent Based Modelling and Simulation tools: A review of the state-of-art software %U http://www.sciencedirect.com/science/article/pii/S1574013716301198 %V 24 %X The key intent of this work is to present a comprehensive comparative literature survey of the state-of-art in software agent-based computing technology and its incorporation within the modelling and simulation domain. The original contribution of this survey is two-fold: (1) Present a concise characterization of almost the entire spectrum of agent-based modelling and simulation tools, thereby highlighting the salient features, merits, and shortcomings of such multi-faceted application software; this article covers eighty five agent-based toolkits that may assist the system designers and developers with common tasks, such as constructing agent-based models and portraying the real-time simulation outputs in tabular/graphical formats and visual recordings. (2) Provide a usable reference that aids engineers, researchers, learners and academicians in readily selecting an appropriate agent-based modelling and simulation toolkit for designing and developing their system models and prototypes, cognizant of both their expertise and those requirements of their application domain. In a nutshell, a significant synthesis of Agent Based Modelling and Simulation (ABMS) resources has been performed in this review that stimulates further investigation into this topic.

@article{abar2017agent, abstract = {The key intent of this work is to present a comprehensive comparative literature survey of the state-of-art in software agent-based computing technology and its incorporation within the modelling and simulation domain. The original contribution of this survey is two-fold: (1) Present a concise characterization of almost the entire spectrum of agent-based modelling and simulation tools, thereby highlighting the salient features, merits, and shortcomings of such multi-faceted application software; this article covers eighty five agent-based toolkits that may assist the system designers and developers with common tasks, such as constructing agent-based models and portraying the real-time simulation outputs in tabular/graphical formats and visual recordings. (2) Provide a usable reference that aids engineers, researchers, learners and academicians in readily selecting an appropriate agent-based modelling and simulation toolkit for designing and developing their system models and prototypes, cognizant of both their expertise and those requirements of their application domain. In a nutshell, a significant synthesis of Agent Based Modelling and Simulation (ABMS) resources has been performed in this review that stimulates further investigation into this topic.}, added-at = {2020-06-14T00:23:34.000+0200}, author = {Abar, Sameera and Theodoropoulos, Georgios K. and Lemarinier, Pierre and O’Hare, Gregory M.P.}, biburl = {https://www.bibsonomy.org/bibtex/26444739acea4ffbefb15a72536971b56/porta}, doi = {https://doi.org/10.1016/j.cosrev.2017.03.001}, interhash = {11ceaecee7c6f02e25d39a6b9895aaf6}, intrahash = {6444739acea4ffbefb15a72536971b56}, issn = {1574-0137}, journal = {Computer Science Review}, keywords = {Agent Based Modelling Simulation and mas multi overview platform review sota tools}, pages = {13 - 33}, timestamp = {2020-06-14T00:23:34.000+0200}, title = {Agent Based Modelling and Simulation tools: A review of the state-of-art software}, url = {http://www.sciencedirect.com/science/article/pii/S1574013716301198}, volume = 24, year = 2017 }