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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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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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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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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A Joint Sparse Space-Time Adaptive Processing Method by Jinfeng Hu, Yuyan Xia, Huiyong Li, Jing Liang, Tao Lin

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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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Self-adaptive fuzzing optimization method based on distribution divergence by XU Hang, JI Jiangan, MA Zheyu, ZHANG Chao

“…Finally, an online deep reinforcement learning model was established based on the dual deep Q-network model, and an intelligent agent was trained to optimize the fuzzing mutation strategy. …”
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Digital breakthrough: will public administration be smart enough in a digital state and how smart are the elite and citizens by L. A. Vasilenko

“…The model includes a set of public services of a consumer nature with multichannel access and the use of “intelligent agents”. Thirdly, to what extent the subjects of government, acting on behalf of the state, use the provided opportunities. …”
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