Search Results - (( intelligent agent learning algorithm ) OR ( intelligence based process algorithm ))
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Intelligent agent for e-commerce using genetic algorithm / 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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Thesis -
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Cooperative multi agents for intelligent intrusion detection and prevention systems / Shahaboddin Shamshirband
Published 2014“…Later, we investigate the game based-FQL algorithm by combining the game theoretic approach and the fuzzy Q-learning algorithm. …”
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Artificial intelligent integrated into sun-tracking system to enhance the accuracy, reliability and long-term performance in solar energy harnessing
Published 2022“…The proposed AI algorithm integrates two deep learning models which are object detection algorithm and reinforcement learning. …”
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A conceptual multi-agent framework using ant colony optimization and fuzzy algorithms for learning style detection
Published 2023Subjects:Conference Paper -
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Multi-Agent Reinforcement Learning For Swarm Robots Formation
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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A Principled Design of Intelligent Agent for the SLA negotiation process in cloud computing
Published 2022“…In the dynamic market of cloud and heterogeneous environments, the existing system needs an intelligent agent-based negotiation system (IANS) to handle responsibilities. …”
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Conference or Workshop Item -
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A Principled Design of Intelligent Agent for the SLA negotiation process in cloud computing
Published 2022“…In the dynamic market of cloud and heterogeneous environments, the existing system needs an intelligent agent-based negotiation system (IANS) to handle responsibilities. …”
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Object-Oriented Programming semantics representation utilizing agents
Published 2011“…The running system shows an OOP semantic knowledge representation by intelligent agents.…”
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Ontology based approach to Fuzzy student model design
Published 2014“…An important component of these elearning systems in use today is called the intelligent tutoring system (ITS). ITS is a software system designed using artificial intelligent techniques (comprising of Fuzzy Logic, Neural-Networks, Bayesian networks, Ontology, Genetic Algorithms and Software Agents) to provide a personalized tutoring adaptable to each student based on his/her profile or characteristics. …”
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Individual And Ensemble Pattern Classification Models Using Enhanced Fuzzy Min-Max Neural Networks
Published 2014“…Firstly is by enhancing the learning algorithm of a neural-fuzzy network; and secondly by devising an ensemble model to combine the predictions from multiple neural-fuzzy networks using an agent-based framework. …”
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Design of profile controller for biochemical reactor
Published 2010“…There are many types of process controllers like the ON/OFF controller, PID controller, and controller based on an artificial intelligence. …”
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Multi agent reinforcement learning for UAV collision avoidance
Published 2024“…In this paper, we provide a pragmatic instantiation of multi-agent reinforcement learning, which encompasses the participation of several agents. …”
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Federated multi-agent reinforcement learning for UAV collision avoidance in dense smart city environment
Published 2024“…Most existing algorithms are limited to a small number of drones; therefore, in this study, we trained drones in a congested urban setting where a large number of drones were taught concurrently using Federated Multi-Agent Learning. …”
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Conference or Workshop Item -
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The design for antrophomorphic sociable agent interaction through emotion detection
Published 2003“…This research works addresses on faces features through simulation of anthropomorphic agent.A salience feature of this definition of emotion is described in terms of goals and roles.Therefore, it provides a basic framework of goal-driven processing, which is to investigate computational models of emotion.The main goal of this research is to provide a natural interaction scheme where the affective interaction emotive state of the user can be identified.One aspect of developing such a capability is the ability of the system to recognize emotional state using intelligent supervised learning algorithms, personality of the user and respond appropriately.An anthropomorphic agent will serve to express the reaction through affective feedback given. …”
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Conference or Workshop Item -
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Optimization of multi-agent traffic network system with Q-Learning-Tune fitness function
Published 2019“…This study aims to explore the potential of implementing multi-agent-based Genetic Algorithm (GA) with interactive metamodel to acquire regular optimisation on dynamic characteristic of traffic flow. …”
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Multi-target tracking algorithm in intelligent transportation based on wireless sensor network
Published 2018“…A multi-target tracking algorithm using wireless sensors in an intelligent transportation system is proposed. …”
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