Qasim, A, Iqbal, S, Aziz, ZUH 
ORCID: https://orcid.org/0000-0003-0797-1507, Kazmi, SAR, Munawar, A, Gilani, BA and Qasim, N
2020,
'Handling temporal constraints in interaction protocols for intelligent multi-agent systems'
, International Journal on Smart Sensing and Intelligent Systems, 13 (1)
, pp. 1-15.
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Abstract
This research focuses on handling temporal constraints in interaction protocols for multi-agent systems. There is a dire need of standardized interaction protocols that can be used to handle timing aspects in real-time multi-agent system’s negotiation. The most commonly used Foundation for Intelligent Physical Agents Protocol lacks the appropriate specification in this regard. In real-time systems timing constraint is a major concern for all of its tasks and goals. Agents require real-time responses and must eliminate the possibility of massive communication between them. The timing specification of these real-time multi-agent systems in which agents communicate with each other to achieve their goals within deadline will be of great value for their correct functioning. A high degree of dependability and predictability is expected from real-time software agents. The basis of our work is the standardized interaction protocols to support the communication between agents in real-time environment and this is possible via message passing. By incorporation of well-defined timing parameters in Foundation for Intelligent Physical Agents performatives, we have enabled them to be used in any real-time multi-agent’s communication. We demonstrate the usage and effectiveness of our proposed real-time performatives using a case study of monitoring boats in marine reserves in which the agents interact with each other to accomplish their goals.
| Item Type: | Article |
|---|---|
| Schools: | Schools > School of the Built Environment |
| Journal or Publication Title: | International Journal on Smart Sensing and Intelligent Systems |
| Publisher: | Exeley |
| ISSN: | 1178-5608 |
| Related URLs: | |
| Depositing User: | USIR Admin |
| Date Deposited: | 01 Feb 2021 15:41 |
| Last Modified: | 16 Feb 2022 06:39 |
| URI: | https://usir.salford.ac.uk/id/eprint/59462 |
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