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  1. 1
    An Intelligent System Approach to the Dynamic Hybrid Robot Control

    An Intelligent System Approach to the Dynamic Hybrid Robot Control by Md. Yeasin, Md. Mahmud Hasan

    Published 1996
    “…This was because a robot can be seen as a physical intelligent system which interacts with the real world environment by means of its sensors and actuators. …”
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  2. 2
    Modeling of static and dynamic components of bio-nanorobotic systems

    Modeling of static and dynamic components of bio-nanorobotic systems by Gavgani, Hamidreza Khataee

    Published 2012
    “…Moreover, agent-based behavioral models of the nanomotors are developed using state machine diagrams of UML to illustrate the internal autonomous and intelligent decision-making processes of the nanomotors. …”
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  3. 3
    Optimization and discretization of dragonfly algorithm for solving continuous and discrete optimization problems

    Optimization and discretization of dragonfly algorithm for solving continuous and discrete optimization problems by Bibi Amirah Shafaa, Emambocus

    Published 2024
    “…Swarm intelligence algorithms are metaheuristic algorithms inspired by the simple interactions of biological organisms in a population. …”
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  4. 4
    Fruit-Fly Based Searching Algorithm For Cooperative Swarming Robotic System

    Fruit-Fly Based Searching Algorithm For Cooperative Swarming Robotic System by Abidin, Zulkifli Zainal

    Published 2013
    “…Swarm intelligence can be described as a complex behaviour generated from a large number of individual agents, where each agent follows very simple rules. …”
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  5. 5
    Multi-Agent Reinforcement Learning For Swarm Robots Formation

    Multi-Agent Reinforcement Learning For Swarm Robots Formation by Bujang, Christina

    Published 2021
    “…The reinforcement learning algorithm offers one of the most general frameworks in learning subjects to address some of the control issues in a multi-agent system. …”
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    Monograph
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  6. 6
    Spiral-sooty tern optimization algorithm for dynamic modelling of a twin rotor system

    Spiral-sooty tern optimization algorithm for dynamic modelling of a twin rotor system by Ahmad Nor Kasruddin, Nasir, Mohd Falfazli, Mat Jusof, Mohd Redzuan, Ahmad, Addie Irawan, Hashim

    Published 2022
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  7. 7
    A multi-agent EPON emulator

    A multi-agent EPON emulator by Sadon S.K., Din N.M., Radzi N.A., Yaacob M., Rawi N.I.M., Maier M., Al-Mansoori M.H.

    Published 2023
    Conference Paper
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  8. 8
    The comparison study among optimization techniques in optimizing a distribution system state estimation

    The comparison study among optimization techniques in optimizing a distribution system state estimation by Hazim Imad, Hazim

    Published 2017
    “…This thesis introduce an intelligent decentralized State Estimation method based on Firefly algorithm for distribution power systems. …”
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  9. 9
    Peer to peer trade in HTM5 meta model for agent oriented cloud robotic systems

    Peer to peer trade in HTM5 meta model for agent oriented cloud robotic systems by Nagrath, Vineet, Morel, Olivier, Malik, Aamir Saeed, Mohamad Saad, Mohamad Naufal, Meriaudeau, Fabrice

    Published 2015
    “…These cloud servers treat robots as any other client computer offering them platform, infrastructure, process or algorithm as a service. HTM5 is an OMG MDA based multi-view metamodel for agent oriented development of cloud robotic systems. …”
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    Article
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  10. 10
    Agent architectures (building chatterbot) / Umi Aimah Abu Bakar

    Agent architectures (building chatterbot) / Umi Aimah Abu Bakar by Umi Aimah , Abu Bakar

    Published 2003
    “…While MILAH, it has no neural network, no complex knowledge presentation, no fuzzy logic, no genetic algorithm and no major parsing. MILAH uses Case Based Reasoning (CBR). …”
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  11. 11
    Human evacuation movement simulation model: Concepts and techniques

    Human evacuation movement simulation model: Concepts and techniques by Noor Akma, Abu Bakar, Lim, Siew Mooi, Abdul Majid, Mazlina

    Published 2022
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  12. 12
    Human evacuation movement simulation model: Concepts and techniques

    Human evacuation movement simulation model: Concepts and techniques by Noor Akma, Abu Bakar, Lim, Siew Mooi, Abdul Majid, Mazlina

    Published 2022
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  13. 13
    Intelligent agent for e-commerce using genetic algorithm / Kok Sun Sun

    Intelligent agent for e-commerce using genetic algorithm / Kok Sun Sun by Kok , Sun Sun

    Published 2000
    “…In order to develop an intelligent agent, various programming techniques are used in achieving the property of self learning, information retrieval and searching algorithm. …”
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  14. 14
    Optimizing mobile robot navigation through neuro-symbolic fusion of Deep Deterministic Policy Gradient (DDPG) and fuzzy logic

    Optimizing mobile robot navigation through neuro-symbolic fusion of Deep Deterministic Policy Gradient (DDPG) and fuzzy logic by Nasary, Muhammad Faqiihuddin, Mohd Ibrahim, Azhar, Al Mahmud, Suaib, Shafie, Amir Akramin, Mardzuki, Muhammad Imran

    Published 2024
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  15. 15
    A conceptual automated negotiation model for decision making in the construction domain

    A conceptual automated negotiation model for decision making in the construction domain by Mahmoud M.A., Ahmad M.S., Yusoff M.Z.M.

    Published 2023
    “…Artificial intelligence; Automation; Autonomous agents; Decision making; Distributed computer systems; Intelligent agents; Multi agent systems; Network architecture; Automated negotiations; Conflict resolution algorithms; Decision making process; Intelligent software agent; Multiagent negotiation; Negotiation algorithm; Negotiation protocol; Value management; Software agents…”
    Conference Paper
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  16. 16
    A negotiation algorithm for decision-making in the construction domain

    A negotiation algorithm for decision-making in the construction domain by Idrus A., Mahmoud M.A., Ahmad M.S., Yahya A., Husen H.

    Published 2023
    “…Artificial intelligence; Autonomous agents; Decision making; Distributed computer systems; Intelligent agents; Multi agent systems; Algorithm architectures; Automated decision making; Automated negotiations; Negotiation algorithm; Pseudo-code; Software agents…”
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  17. 17
    Automated multi-agent negotiation framework for the construction domain

    Automated multi-agent negotiation framework for the construction domain by Mahmoud M.A., Ahmad M.S., Yusoff M.Z.M., Idrus A.

    Published 2023
    “…Artificial intelligence; Automation; Autonomous agents; Decision making; Multi agent systems; Software agents; Automated negotiations; Conflict resolution algorithms; Decision making process; Intelligent software agent; Multiagent negotiation; Negotiation algorithm; Proposed architectures; Value management; Intelligent agents…”
    Conference Paper
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  18. 18
    Building norms-adaptable agents from Potential Norms Detection Technique (PNDT)

    Building norms-adaptable agents from Potential Norms Detection Technique (PNDT) by Mahmoud M.A., Ahmad M.S., Ahmad A., Mustapha A., Yusoff M.Z.M., Hamid N.H.A.

    Published 2023
    Subjects: “…Intelligent software agent…”
    Short Survey
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  19. 19
    TRIP PLANNER MOBILE APPLICATION FOR SARAWAK TOURIST WITH USING INTELLIGENT AGENT BASED DECISION MAKING ALGORITHMS

    TRIP PLANNER MOBILE APPLICATION FOR SARAWAK TOURIST WITH USING INTELLIGENT AGENT BASED DECISION MAKING ALGORITHMS by Teh, Khee Shin

    Published 2020
    “…There is no platform that provide event information to tourists. Thus, the proposed system which is trip planner mobile application for Sarawak tourist with using intelligent agent based decision making algorithms may help to resolve the problem. …”
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    Final Year Project Report / IMRAD
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  20. 20
    Optimal location and size estimation of distributed generators by employing grouping particle swarm optimization and grouping genetic algorithm

    Optimal location and size estimation of distributed generators by employing grouping particle swarm optimization and grouping genetic algorithm by Mohammed, Zahraa Abdulkareem

    Published 2017
    “…These two algorithms are compared to their original artificial intelligence algorithms, i.e. particle swarm optimization algorithm and genetic algorithm. …”
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