Intelligent agent for formal modelling of temporal multi-agent systems

Qasim, Awais; Aziz, Zeeshan; Kazmi, Syed Asad Raza; Khalid, Adnan; Fakhir, Ilyas; Hassan, Jawad

doi:10.21307/ijssis-2020-003

Cited by 4 publications

(4 citation statements)

References 27 publications

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“…Most automated negotiating research has been in the early stages up until now. The difficulty of allocating and reusing software due to the absence of unified knowledge excellence is one of the main factors in completing these kinds of tasks [32]. It has been suggested in [33][34][35] that MAS provides an efficient approach for handling temporal tasks with minimal human intervention.…”

Section: Related Workmentioning

confidence: 99%

Prioritization of Exigency Services in Multi-Agent Transportation Systems

Fakhir,

Qasim,

Hussain

et al. 2023

VFAST trans. softw. eng.

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Multi-agent system helps in achieving a single global goal by working on different tasks in a distributed environment. This research presents a new framework for handling the prioritization of exigency services in an urban transportation system. Prioritization in exigency services needs to be handled for vehicles like Ambulance, Police Mobile, Fire Brigade, Bomb Disposal Squads, Search and Rescue vehicles, Turntable Ladder, and other similar vehicles. In the proposed framework a single ARTIS agent with four In-agents is deployed at each signal node. In-Agents at different nodes share information about the exigency with the ARTIS Agent that analyses the input data and determines the types of conflict that might cause delays in emergency services provision. We operate the signal based on their priorities for exigency vehicles with different priorities. In case they have the same priorities then we use the lane congestion and vehicle wait time to operate a signal. We demonstrate the application of our proposed approach using different cases of a traffic case study.

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Section: Related Workmentioning

confidence: 99%

Prioritization of Exigency Services in Multi-Agent Transportation Systems

Fakhir,

Qasim,

Hussain

et al. 2023

VFAST trans. softw. eng.

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“…Their work focuses on task scheduling and error detection for MASs in distributed environment but not at the interaction protocol level. The work of Qasim et al (2015Qasim et al ( , 2019Qasim et al ( , 2020 and Qasim and Kazmi (2016) leads to formal specification and verification of interactive real-time software agents (RT agents). Agents work independently and handle the uncertain scenarios.…”

Section: Related Workmentioning

confidence: 99%

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

Qasim

Iqbal

Aziz

et al. 2020

International Journal on Smart Sensing and Intelligent Systems

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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.

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“…It has been argued in [44][45][46] that the use of intelligent agents for the implementation of intelligent systems is highly desirable. The main objective of this Actions Selection Module was to achieve the goal by adopting a behavior.…”

Section: E Application Viewmentioning

confidence: 99%

Design and Development of AI-based Mirror Neurons Agent towards Emotion and Empathy

Rehman¹,

Munawar²,

Iftikhar³

et al. 2020

IJACSA

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Since numerous years, researchers have to outline keen operators to accomplish the Artificial General Intelligence. Each new science revelation is an open challenge to all researchers. More than twenty years prior to a group of researchers discovered exceptional cerebrum cells, called reflect neurons in monkeys. These cells gave off an impression of being actuated both when the monkey accomplished something itself and when the monkey basically watched another monkey do a similar thing. This new discovery opened a new door for a scientist because of Mirror Neurons functionalities that can be huge contribute to cognitive science, neuroscience, impacting on Artificial General Intelligence. Mirror neuron functionality improves the Machine's learning. This research paper develops models for social interaction in which a machine may have the ability to learn the next person emotional state using mirror neurons and show empathy towards emotions.

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Intelligent agent for formal modelling of temporal multi-agent systems

Cited by 4 publications

References 27 publications

Prioritization of Exigency Services in Multi-Agent Transportation Systems

Prioritization of Exigency Services in Multi-Agent Transportation Systems

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

Design and Development of AI-based Mirror Neurons Agent towards Emotion and Empathy

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