Affect Detection from Text-Based Virtual Improvisation and Emotional Gesture Recognition by Li Zhang, Bryan Yap

“…We have developed an intelligent agent to engage with users in virtual drama improvisation previously. …”
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Philosophy in Engineering Systems of Action: Analysis and Interpretation of the Selected Ontological Aspects of Józef Konieczny’s Theory of Action by Smolnik Maksymilian

“…Such a general approach to actions is also supportive to the discussions on the development of artificial intelligence agents. As a philosophically remarkable and practically useful approach to actions the theory of action proposed by the Polish philosopher, scientist and military specialist Józef Konieczny undergoes here further considerations.…”
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Internet marketing organization with the use of intellegent and block chain technologies by U. A. Vishniakou

“…It is proposed to develop IA on the basis of a family of intelligent agents for building intelligent marketing information systems (IMIS). …”
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Affect and Metaphor Sensing in Virtual Drama by Li Zhang, John Barnden

“…The metaphor and affect sensing component has been embedded in a conversational intelligent agent interacting with human users under loose scenarios. …”
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Personalization of the Workplace through a Proximity Detection System Using User Profiles by Carolina Zato, Sara Rodríguez, Alejandro Sánchez, Gabriel Villarrubia, Javier Bajo, Juan Manuel Corchado

“…These different tools for the disabled people have been modelled with intelligent agents that use Web services. These agents are implemented and deployed within the PANGEA platform so PANGEA conforms the skeleton of the system and allows to develop an integral system. …”
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PhishingAgent: an agentic workflow method for advanced phishing email detection by JIN Jiandong, HUANG Zheng, HU Zhanyu, ZOU Yuanxin, QIN Huidong, LAI Qingnan, YANG Jia, ZHOU Changling

“…To address the increasing complexity of advanced persistent threat (APT) and phishing email attacks, an intelligent agentic workflow method for phishing email detection called PhishingAgent was proposed. …”
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Multi-level agent architecture for war games by YU Xiaohan, YUAN Duo, YAO Changhua

“…To address this, this paper proposes a multi-level agent architecture for military strategy games based on the "Intent-Task-Action" framework, aiming to integrate various technical strengths for intelligent agent modeling in these games. Through a top-down decomposition and propagation mechanism, this architecture progressively breaks down combat strategies into executable tasks and actions. …”
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What Is Artificial about Life? by Alessandro Giuliani, Ignazio Licata, Carlo M. Modonesi, Paolo Crosignani

“…The mechanistic view of biological regulation implies that we think of genes as intelligent agents. Here we try to critically analyze the motivations behind the spread of such unrealistic simplifications.…”
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Practical application of large language models in educational informatics: specification, framework, and applications by XU Gang, LIU Zhipeng, FENG Qi, SHEN Fuke

“…The standards covered API interface designs from three perspectives: general conversation, retrieval enhancement, and intelligent agents. Based on these standards, a technical implementation framework was provided. …”
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Implementasi Simple Reflex Autonomous Smart Mopping The Floor by Asep Kosasih, Faisal Akbar

“…Robot SRASMF merupakan model robot cerdas (Intelligent Agent) yang dilengkapi sensor dan actuator yang dapat bekerja sendiri dalam lingkungannya (environment) dengan karakteristik bergerak maju mengepel lantai datar, mundur menghindari rintangan, berputar belok kiri, berputar belok kanan, dan berhenti. …”
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Deep Reinforcement Learning-Based Anti-Jamming Approach for Fast Frequency Hopping Systems by Sixi Cheng, Xiang Ling, Lidong Zhu

“…However, due to the complexity of the decision-making process in intelligent agents, the system cannot complete decisions within the intervals between hops in fast frequency hopping (FFH) systems. …”
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Autonomous Bus Fleet Control Using Multiagent Reinforcement Learning by Sung-Jung Wang, S. K. Jason Chang

“…Efficient operation of these buses can be achieved by intelligent agents through reinforcement learning. In this study, we investigate the autonomous bus fleet control problem, which appears noisy to the agents owing to random arrivals and incomplete observation of the environment. …”
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A Gradient-Based Reinforcement Learning Algorithm for Multiple Cooperative Agents by Zhen Zhang, Dongqing Wang, Dongbin Zhao, Qiaoni Han, Tingting Song

“…Multi-agent reinforcement learning (MARL) can be used to design intelligent agents for solving cooperative tasks. Within the MARL category, this paper proposes the probability of maximal reward based on the infinitesimal gradient ascent (PMR-IGA) algorithm to reach the maximal total reward in repeated games. …”
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Modeling Nonusers’ Behavioral Intention towards Mobile Chatbot Adoption: An Extension of the UTAUT2 Model with Mobile Service Quality Determinants by Gatzioufa Paraskevi, Vaggelis Saprikis, Giorgos Avlogiaris

“…Artificial intelligence agents (chatbots), which are programs to communicate with users primarily in customer service contexts, are an alternative interaction channel supporting businesses in the digital environment and vital components in customer service. …”
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A Joint Sparse Space-Time Adaptive Processing Method by Jinfeng Hu, Yuyan Xia, Huiyong Li, Jing Liang, Tao Lin

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SMART AGENT-BASED FRAMEWORK FOR MULTIPLE SIMULTANEOUS BILATERAL NEGOTIATIONS TO SUPPORT BUSINESS PROCESSES by Adina-Georgeta CREȚAN

“…The paper presents a negotiation approach wherein intelligent agents assess and modify offers and counteroffers, supported by a communication protocol among these agents.…”
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Integrating Social Relationships and Personality into MAS-Based Group Recommendations by Ariel Monteserin, Daiana Elin Madsen, Daniela Godoy, Silvia Schiaffino

“…Multi-agent systems can be used to develop such recommendations, where multiple intelligent agents interact with each other to achieve a common goal, i.e., deciding which item to recommend. …”
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Parameter Adaptive Terminal Sliding Mode Control of Flexible Coupling Air-Breathing Hypersonic Vehicle by Haibing Chen, Wei Lin, Tielin Ma, Hengxian Jin, Cheng Xu

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A generic self-learning emotional framework for machines by Alberto Hernández-Marcos, Eduardo Ros

“…Here we propose that emotions correspond to distinct temporal patterns perceived in crucial values for living beings in their environment (like recent rewards, expected future rewards or anticipated world states) and introduce a fully self-learning emotional framework for Artificial Intelligence agents convincingly associating them with documented natural emotions. …”
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The optimal route search in Bengaluru city transport using Hamilton circuit algorithm by Parkavi S, Parthiban A

“…., “Modeling and control of multiphase interleaved fuel-cell boost converter based on Hamiltonian control theory for transportation applications, IEEE Transactions on Transportation Electrification 6.2, 2020, pp. 519-529”, in this paper, we study an intelligent agent model to perform route engineering for public transportation in the Bengaluru city, based on the Hamilton circuit algorithm and analyze the best and optimal route among the three significant routes out of twelve available using various parameters. …”
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