%0 Journal Article %1 abar2017agent %A Abar, Sameera %A Theodoropoulos, Georgios K. %A Lemarinier, Pierre %A O'Hare, Gregory M.P. %D 2017 %I Elsevier BV %J Computer Science Review %K agent-based_simulation review %P 13--33 %R 10.1016/j.cosrev.2017.03.001 %T Agent Based Modelling and Simulation tools: A review of the state-of-art software %U https://doi.org/10.1016%2Fj.cosrev.2017.03.001 %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 = {2017-09-07T07:55:50.000+0200}, author = {Abar, Sameera and Theodoropoulos, Georgios K. and Lemarinier, Pierre and O'Hare, Gregory M.P.}, biburl = {https://www.bibsonomy.org/bibtex/26444739acea4ffbefb15a72536971b56/peter.ralph}, doi = {10.1016/j.cosrev.2017.03.001}, interhash = {11ceaecee7c6f02e25d39a6b9895aaf6}, intrahash = {6444739acea4ffbefb15a72536971b56}, journal = {Computer Science Review}, keywords = {agent-based_simulation review}, month = may, pages = {13--33}, publisher = {Elsevier {BV}}, timestamp = {2017-09-07T07:55:50.000+0200}, title = {Agent Based Modelling and Simulation tools: A review of the state-of-art software}, url = {https://doi.org/10.1016%2Fj.cosrev.2017.03.001}, volume = 24, year = 2017 }