Similarity based task timely termination method for image based intelligent agents by Sheng Jie, Xing Huang, Chengxi Jing, Xian Jiang, Ligang Dong

“…We propose similarity-based task timely termination method for image-based intelligent agents, This method involves recording the scenario state after the completion of each sub-task and comparing it with the fully completed task scenario state using a structural similarity method. …”
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Anticorrelations between Active Brain Regions: An Agent-Based Model Simulation Study by Fabrizio Parente, Alfredo Colosimo

“…A large-scale brain representation was considered, implementing an agent-based brain-inspired model (ABBM) incorporating the SER (susceptible-excited-refractory) cyclic mechanism of state change. …”
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Rethinking Exploration and Experience Exploitation in Value-Based Multi-Agent Reinforcement Learning by Anatolii Borzilov, Alexey Skrynnik, Aleksandr Panov

“…Cooperative Multi-Agent Reinforcement Learning (MARL) focuses on developing strategies to effectively train multiple agents to learn and adapt policies collaboratively. …”
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The Effect of Tumor Angiogenesis Agents on Tumor Growth Dynamics: A Mathematical Model by Ali Mohseni, Mohammad Pooyan, Somayeh Raiesdana, Mohammad Bagher Menhaj

“…Our model can reconstruct the transition from a pre-angiogenic to a post-angiogenic state. Materials and Methods: The proposed model comprises five variables: host cells (normal cells), immune cells, tumor cells, endothelial cells, and tumor angiogenesis agents. …”
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Current Prospects of Herbal STW 5 Agent in Treatment of Functional Gastrointestinal Diseases by A. A. Sheptulin

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Cyber attacks and privacy protection distributed consensus algorithm for multi-agent systems by Ming XU, Baojun ZHANG, Yiming WU, Chenduo YING, Ning ZHENG

“…To solve the consensus problem of multi-agent systems in the environment of cyber attacks and information eavesdropping, an average consensus algorithm that can effectively resist network denial of service (DoS) attacks and protect nodes’ state privacy was proposed.Firstly, combined with the characteristics of DoS attacks in networked control systems, a periodic DoS attack model related to time was constructed.Then a distributed network node information processing mechanism based on differential privacy was proposed by using the information interaction between neighbor nodes, and then it was introduced into the average consensus algorithm.Furthermore, combined with the event-triggered mechanism, a consensus algorithm method suitable for undirected communication networks under DoS attacks was proposed, and its convergence and privacy protection performance were analyzed strictly mathematically.Finally, the effectiveness of the proposed algorithm was verified by a numerical simulation experiment and hardware experiment.…”
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EPPTA: Efficient partially observable reinforcement learning agent for penetration testing applications by Zegang Li, Qian Zhang, Guangwen Yang

“…We incorporate an implicit belief module in EPPTA, grounded on the belief update formula of the traditional POMDP model, which represents the agent's probabilistic estimation of the current environment state. …”
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A Multi-Agent Approach to Modeling Task-Oriented Dialog Policy Learning by Songfeng Liang, Kai Xu, Zhurong Dong

“…Concretely, we employ an Actor-Critic network to implement the proposed model, alternately updating individual dialogue agents to optimize policy selection. In each update, we utilize the maximum action value function to determine the appropriate dialogue action, while the maximum state value function serves to guide the policy learning process. …”
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FATORES ASSOCIADOS AOS SINTOMAS DEPRESSIVOS EM AGENTES COMUNITÁRIOS DE SAÚDE by Mariane Silveira Barbosa, Gustavo Ribeiro dos Santos, Kênia Souto Moreira, Maria Figueiredo Brito, Luiza Rossi-Barbosa

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Exenatide Is an Effective Antihyperglycaemic Agent in a Mouse Model of Wolfram Syndrome 1 by Tuuli Sedman, Kertu Rünkorg, Maarja Krass, Hendrik Luuk, Mario Plaas, Eero Vasar, Vallo Volke

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Study Imbalance of Some Cytokines and Vaginitis Agents in Women with Recurrent Abortion Women by Muna Hamid Al-sallami, Samara Abd Al-Hameed Ouda Al-Salihi, Mayyada Farhan Darweesh

“…On the other hand, a plethora of bacterial and viral infectious agents have been associated with an increased risk of recurrent abortion (RA). …”
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AGENTS USED FOR ENAMEL REMINERALISATION AND REDUCING DENTIN HYPERSENSITIVITY: A COMPREHENSIVE REVIEW by N.V. Yanko

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CitySEIRCast: an agent-based city digital twin for pandemic analysis and simulation by Shakir Bilal, Wajdi Zaatour, Yilian Alonso Otano, Arindam Saha, Ken Newcomb, Soo Kim, Jun Kim, Raveena Ginjala, Derek Groen, Edwin Michael

“…Here, we describe how we have coupled advances in the construction of digital or virtual models of real-world cities with an agile, modular, agent-based model of viral transmission and data from navigation and social media interactions, to overcome these challenges in order to provide a new simulation tool, CitySEIRCast, that can model viral spread at the sub-national level. …”
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Rapid identification of bacterial select agents using loop-mediated isothermal amplification by Timothy E. Egbo, Candace D. Blancett, Jackie M. Payne, Christopher P. Stefan, Timothy D. Minogue, John H. Sellers, Jeffrey W. Koehler

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Non-enzymatic protein targeting agents as a promising strategy for cancer treatment by Madison Ambrose, Jeremy Lee, Aleem Syed, Zamal Ahmed, Guang Peng

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The reasoning agent: agency in the capability approach and some implications for development research and practice by Pablo Garcés

“…That is, instead of a rational, the CA suggests a reasoning agent, accounting for such an agent has important implications for the conduct of inquiry, including the philosophy of science. …”
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Adaptive average arterial pressure control by multi-agent on-policy reinforcement learning by Xiaofeng Hong, Walid Ayadi, Khalid A. Alattas, Ardashir Mohammadzadeh, Mohamad Salimi, Chunwei Zhang

“…Abstract The current research introduces a model-free ultra-local model (MFULM) controller that utilizes the multi-agent on-policy reinforcement learning (MAOPRL) technique for remotely regulating blood pressure through precise drug dosing in a closed-loop system. …”
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Antibiotic-associated diarrhea: state-of-the-art by D. V. Piliev, S. I. Achkasov, T. K. Korneva, O. I. Sushkov

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Conservative treatment for cataract: state-of-the-art by S.Yu. Petrov, I.V. Kozlova, R.P. Poleva

“… Currently, this agent is a well-studied medication used when cataract surgery cannot be performed. …”
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THEORETICAL AND INSILCO PHARMACOKINETIC INVESTIGATIONS ON SOME PHENYL PIPERIDINE DERIVATIVES AS NOVEL ANTIDEPRESSANT AGENTS by Olasupo Sabitu Babatunde Babatunde, Adamu Uzairu, Gideon Adamu Shallangwa, Sani Uba

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