Slide
Centre Interdisciplinaire
de Recherche et d’Innovation
en Cybersécurité et Société
de Recherche et d’Innovation
en Cybersécurité et Société
1.
Davoust, A.; Gavigan, P.; Ruiz-Martin, C.; Trabes, G.; Esfandiari, B.; Wainer, G.; James, J.
An architecture for integrating BDI agents with a simulation environment Journal Article
In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12058 LNAI, pp. 67–84, 2020, ISSN: 03029743, (ISBN: 9783030514167 Publisher: Springer).
Abstract | Links | BibTeX | Tags: Antennas, Architecture, Autonomous agents, Belief-desire-intentions, Impedance mismatch, Modelling and simulations, Multi agent systems, Open source architecture, Real time simulations, Separation of concerns, Simulated environment, Simulation environment
@article{davoust_architecture_2020,
title = {An architecture for integrating BDI agents with a simulation environment},
author = {A. Davoust and P. Gavigan and C. Ruiz-Martin and G. Trabes and B. Esfandiari and G. Wainer and J. James},
editor = {Lesperance Y. Bordini R.H. Dennis L.A.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85088750329&doi=10.1007%2f978-3-030-51417-4_4&partnerID=40&md5=2f742500bcd9cac1bf054bbc8802e39c},
doi = {10.1007/978-3-030-51417-4_4},
issn = {03029743},
year = {2020},
date = {2020-01-01},
journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
volume = {12058 LNAI},
pages = {67–84},
abstract = {We present Simulated Autonomous Vehicle Infrastructure (SAVI), an open source architecture for integrating Belief-Desire-Intention (BDI) agents with a simulation platform. This allows for separation of concerns between the development of complex multi-agent behaviours and simulated environments to test them in. We identify and address the impedance mismatch between modelling and simulation, where time is explicitly modelled and differs from “wall clock” time, and BDI systems, where time is not explicitly managed. Our approach avoids linking the environment’s simulation time step to the agents’ reasoning cycles, relying instead on real time simulation where possible, and ensuring that the reasoning module does not get ahead of the simulation. This contributes to a realistic approximation of a real environment for the simulated BDI agents. This is accomplished by running the simulation cycles and the agent reasoning cycles each in their own threads of execution, and managing a single point of contact between these threads. Finally, we illustrate the use of our architecture with a case study involving the simulation of Unmanned Aerial Vehicles (UAVs) following birds. © Springer Nature Switzerland AG 2020.},
note = {ISBN: 9783030514167
Publisher: Springer},
keywords = {Antennas, Architecture, Autonomous agents, Belief-desire-intentions, Impedance mismatch, Modelling and simulations, Multi agent systems, Open source architecture, Real time simulations, Separation of concerns, Simulated environment, Simulation environment},
pubstate = {published},
tppubtype = {article}
}
We present Simulated Autonomous Vehicle Infrastructure (SAVI), an open source architecture for integrating Belief-Desire-Intention (BDI) agents with a simulation platform. This allows for separation of concerns between the development of complex multi-agent behaviours and simulated environments to test them in. We identify and address the impedance mismatch between modelling and simulation, where time is explicitly modelled and differs from “wall clock” time, and BDI systems, where time is not explicitly managed. Our approach avoids linking the environment’s simulation time step to the agents’ reasoning cycles, relying instead on real time simulation where possible, and ensuring that the reasoning module does not get ahead of the simulation. This contributes to a realistic approximation of a real environment for the simulated BDI agents. This is accomplished by running the simulation cycles and the agent reasoning cycles each in their own threads of execution, and managing a single point of contact between these threads. Finally, we illustrate the use of our architecture with a case study involving the simulation of Unmanned Aerial Vehicles (UAVs) following birds. © Springer Nature Switzerland AG 2020.
2.
Papapanagiotou, P.; Manataki, A.; Davoust, A.; Kleek, M. Van; Robertson, D.; Murray-Rust, D.; Shadbolt, N.
Social machines for all: Blue sky ideas track Proceedings Article
In: Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS, pp. 1208–1212, International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), 2018, ISBN: 978-1-5108-6808-3, (ISSN: 15488403).
Abstract | Links | BibTeX | Tags: Agent based simulation, Analysis, Autonomous agents, Design, Development method, Distributed agents, Distributed computer systems, Easy-to-use systems, Economic and social effects, Electronic institutions, Intelligent agents, Model driven development, Model-driven Engineering, Models, Multi agent systems, Systems analysis
@inproceedings{papapanagiotou_social_2018,
title = {Social machines for all: Blue sky ideas track},
author = {P. Papapanagiotou and A. Manataki and A. Davoust and M. Van Kleek and D. Robertson and D. Murray-Rust and N. Shadbolt},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85054668594&partnerID=40&md5=77eba348dbafa30aef9d016186b46804},
isbn = {978-1-5108-6808-3},
year = {2018},
date = {2018-01-01},
booktitle = {Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS},
volume = {2},
pages = {1208–1212},
publisher = {International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)},
abstract = {In today's interconnected world, people interact to a unprecedented degree through the use of digital platforms and services, forming complex 'social machines'. These are now homes to autonomous agents as well as people, providing an open space where human and computational intelligence can mingle-a new frontier for distributed agent systems. However, participants typically have limited autonomy to define and shape the machines they are part of. In this paper, we envision a future where individuals are able to develop their own Social Machines, enabling them to interact in a trustworthy, decentralized way. To make this possible, development methods and tools must see their barriers-to-entry dramatically lowered. People should be able to specify the agent roles and inte-raction patterns in an intuitive, visual way, analyse and test their designs and deploy them as easy to use systems. We argue that this is a challenging but realistic goal, which should be tackled by navigating the trade-off between the accessibility of the design methods -primarily the modelling formalisms- And their expressive power. We support our arguments by drawing ideas from different research areas including electronic institutions, agent-based simulation, process modelling, formal verification, and model-driven engineering. © 2018 International Foundation for Autonomous Agents and Multiagent Systems (www.ifaamas.org). All rights reserved.},
note = {ISSN: 15488403},
keywords = {Agent based simulation, Analysis, Autonomous agents, Design, Development method, Distributed agents, Distributed computer systems, Easy-to-use systems, Economic and social effects, Electronic institutions, Intelligent agents, Model driven development, Model-driven Engineering, Models, Multi agent systems, Systems analysis},
pubstate = {published},
tppubtype = {inproceedings}
}
In today's interconnected world, people interact to a unprecedented degree through the use of digital platforms and services, forming complex 'social machines'. These are now homes to autonomous agents as well as people, providing an open space where human and computational intelligence can mingle-a new frontier for distributed agent systems. However, participants typically have limited autonomy to define and shape the machines they are part of. In this paper, we envision a future where individuals are able to develop their own Social Machines, enabling them to interact in a trustworthy, decentralized way. To make this possible, development methods and tools must see their barriers-to-entry dramatically lowered. People should be able to specify the agent roles and inte-raction patterns in an intuitive, visual way, analyse and test their designs and deploy them as easy to use systems. We argue that this is a challenging but realistic goal, which should be tackled by navigating the trade-off between the accessibility of the design methods -primarily the modelling formalisms- And their expressive power. We support our arguments by drawing ideas from different research areas including electronic institutions, agent-based simulation, process modelling, formal verification, and model-driven engineering. © 2018 International Foundation for Autonomous Agents and Multiagent Systems (www.ifaamas.org). All rights reserved.