Handling temporal constraints in interaction protocols for intelligent multi-agent systems

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 welldefined timing parameters in Foundation for Intelligent Physical Agents performatives, we have enabled them to be used in any realtime 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.

[1]  Atef Zaguia,et al.  Scheduling Analysis and correction for Multiprocessor Real-Time Systems Based on Multi-Agent Systems , 2018 .

[2]  Vicent J. Botti,et al.  SIMBA: An Approach for Real-Time Multi-agent Systems , 2002, CCIA.

[3]  A. Feliachi,et al.  Real-time multi agent system modeling for fault detection in power distribution systems , 2012, 2012 North American Power Symposium (NAPS).

[4]  Awais Qasim,et al.  MAPE-K Interfaces for Formal Modeling of Real-Time Self-Adaptive Multi-Agent Systems , 2016, IEEE Access.

[5]  Elhadi M. Shakshuki,et al.  Implementing a Multi-agent System for Recording and Transmitting Biometric Information of Elderly Citizens , 2017, EUSPN/ICTH.

[6]  Thillainathan Logenthiran,et al.  Implementation of demand side management of a smart home using multi-agent system , 2016, 2016 IEEE Congress on Evolutionary Computation (CEC).

[7]  Samir I. Shaheen,et al.  On the Adoption of Multi-Agent Systems for the Development of Industrial Control Networks , 2015, ICAS 2015.

[8]  Mukun Cao,et al.  Multi-strategy Selection Supported Automated Negotiation System Based on BDI Agent , 2012, 2012 45th Hawaii International Conference on System Sciences.

[9]  Prakash Ranganathan,et al.  Agent-Oriented Designs for a Self Healing Smart Grid , 2010, 2010 First IEEE International Conference on Smart Grid Communications.

[10]  Vicent J. Botti,et al.  Developing real-time multi-agent systems , 2004, Integr. Comput. Aided Eng..

[11]  Alexander Fay,et al.  A market-based multi-agent-system for decentralized power and grid control , 2011, ETFA2011.

[12]  Flavien Balbo,et al.  An agent-based computational approach for urban traffic regulation , 2012, Progress in Artificial Intelligence.

[13]  Zeeshan Aziz,et al.  Intelligent agent for formal modelling of temporal multi-agent systems , 2020 .

[14]  Awais Qasim,et al.  Formal Specification and Verification of Real-Time Multi-Agent Systems using Timed-Arc Petri Nets , 2015 .

[15]  Osama A. Mohammed,et al.  An intelligent multi agent framework for active distribution networks based on IEC 61850 and FIPA standards , 2015, 2015 18th International Conference on Intelligent System Application to Power Systems (ISAP).

[16]  Adnan Khalid,et al.  Timed-Arc Petri-Nets based Agent Communication for Real-Time Multi-Agent Systems , 2019 .

[17]  Petr Skobelev,et al.  Multi-Agent System Smart Factory for Real-Time Workshop Management in Aircraft Jet Engines Production , 2013 .

[18]  Meritxell Vinyals,et al.  Secure Automated Home Energy Management in Multi-Agent Smart Grid Architecture , 2018 .

[19]  Adel M. Alimi,et al.  A Multi Agent System for Hospital Organization , 2022 .

[20]  Vicent J. Botti,et al.  Modelling Agents in Hard Real-Time Environments , 1999, MAAMAW.

[21]  Kevin Smith,et al.  Intelligent traffic simulation by a multi-agent system , 2015, 2015 Third World Conference on Complex Systems (WCCS).

[22]  J.A. Stankovic,et al.  Misconceptions about real-time computing: a serious problem for next-generation systems , 1988, Computer.

[23]  Lau Cheuk Lung,et al.  Providing Real-Time Scheduling for Mobile Agents in the JADE Platform , 2012, 2012 IEEE 15th International Symposium on Object/Component/Service-Oriented Real-Time Distributed Computing.

[24]  Liu Kexing,et al.  A Survey of Agent Based Automated Negotiation , 2011, 2011 International Conference on Network Computing and Information Security.