Relevant bibliographies by topics / Autonomous agents

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Autonomous agents'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 July 2025

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Journal articles on the topic "Autonomous agents"

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V Krishnam Raju, K., and Sai Keerthi Kallam. "Verification of Autonomous Cleaning Agents." International Journal of Scientific Engineering and Research 4, no. 8 (2016): 70–73. https://doi.org/10.70729/ijser15932.

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Christman, John. "Autonomous Agents." Journal of Philosophy 96, no. 2 (1999): 95–99. http://dx.doi.org/10.5840/jphil19999627.

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Kauffman, Stuart. "Molecular autonomous agents." Philosophical Transactions of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences 361, no. 1807 (2003): 1089–99. http://dx.doi.org/10.1098/rsta.2003.1186.

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Maes, Pattie. "Designing autonomous agents." Robotics and Autonomous Systems 6, no. 1-2 (1990): 1–2. http://dx.doi.org/10.1016/s0921-8890(05)80024-7.

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Maes, Pattie. "Modeling Adaptive Autonomous Agents." Artificial Life 1, no. 1_2 (1993): 135–62. http://dx.doi.org/10.1162/artl.1993.1.1_2.135.

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One category of research in Artificial Life is concerned with modeling and building so-called adaptive autonomous agents, which are systems that inhabit a dynamic, unpredictable environment in which they try to satisfy a set of time-dependent goals or motivations. Agents are said to be adaptive if they improve their competence at dealing with these goals based on experience. Autonomous agents constitute a new approach to the study of Artificial Intelligence (AI), which is highly inspired by biology, in particular ethology, the study of animal behavior. Research in autonomous agents has brought
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Valavanis, K. P. "Autonomous agents [Book Reviews]." IEEE Transactions on Robotics and Automation 15, no. 6 (1999): 1149. http://dx.doi.org/10.1109/tra.1999.817684.

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Sukhatme, Gaurav S. "Intelligent embodied autonomous agents." Robotics and Autonomous Systems 29, no. 2-3 (1999): 109–10. http://dx.doi.org/10.1016/s0921-8890(99)00045-7.

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Cronin, A. J. "Allowing autonomous agents freedom." Journal of Medical Ethics 34, no. 3 (2008): 129–32. http://dx.doi.org/10.1136/jme.2007.023580.

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Patel, Anjali, Hava Patel, and Charmi Patel. "A Survey on the Evolution of Autonomous Agents: Trends, Challenges, and Future Directions." SPU- Journal of Science, Technology and Management Research II, no. 01 (2025): 58–68. https://doi.org/10.63766/spujstmr.24.000033.

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Over the past few decades, autonomous agents have undergone tremendous evolution, moving from rule based systems to highly adaptive, learning-driven architectures. These autonomously perceivable, reasoning, and acting agents have found use in robotics, healthcare, finance, and other fields. This survey provides a comprehensive overview of the evolution of autonomous agents, highlighting key technological advancements, emerging trends, and persistent challenges. We explore the role of deep reinforcement learning, multi-agent systems, neuro symbolic AI, and edge computing in enhancing agent auto
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Sai Vyshnavi, Koyya Doondy. "Integration of Blockchain, Internet of Things and AI." International Journal of Research in Science and Technology 12, no. 04 (2022): 31–36. http://dx.doi.org/10.37648/ijrst.v12i04.006.

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The next phase of digital transformation will be propelled by technologies like blockchain, the Internet of Things (IoT), and artificial intelligence (AI). In this paper, we suggest that the convergence of these technologies will make possible novel forms of enterprise. Future autonomous agents will function as autonomous profit centers that have a digital twin leveraging IoT, send and receive money leveraging blockchain technology, and autonomously make decisions as independent economic agents utilizing artificial intelligence and data analytics. Further, we suggest that this convergence will
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Dissertations / Theses on the topic "Autonomous agents"

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Frasheri, Mirgita. "Collaborative Adaptive Autonomous Agents." Licentiate thesis, Mälardalens högskola, Inbyggda system, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-40255.

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Grey, Stuart. "Distributed agents for autonomous spacecraft." Thesis, University of Glasgow, 2013. http://theses.gla.ac.uk/3830/.

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Space missions have evolved considerably in the last fifty years in both complexity and ambition. In order to enable this continued improvement in the scientific and commercial return of space missions new control systems are needed that can manage complex combinations of state of the art hardware with a minimum of human interaction. Distributed multi-agent systems are one approach to controlling complex multisatellite space missions. A distributed system is not enough on its own however,the spacecraft must be able to carry out complex tasks such as planning,negotiation and close proximity for
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Allen, Stephen Richard. "Concern processing in autonomous agents." Thesis, University of Birmingham, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.369169.

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Griffiths, Nathan. "Motivated cooperation in autonomous agents." Thesis, University of Warwick, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.365266.

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DaBose, Michael W. "Autonomous agents for digital network maximization." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1997. http://handle.dtic.mil/100.2/ADA337729.

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Thesis (M.S. in Software Engineering)--Naval Postgraduate School, Sept. 1997.<br>Thesis advisors: Luqi ; Berzins, Valdis. "September 1997." Includes bibliographical references (p. 108-112). Also Available online.
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Karnan, Sathia Murthy. "Knowledge based communication in autonomous agents." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2001. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/MQ56334.pdf.

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Kaptan, Varol. "MODELING AUTONOMOUS AGENTS IN MILITARY SIMULATIONS." Doctoral diss., University of Central Florida, 2006. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/3825.

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Simulation is an important tool for prediction and assessment of the behavior of complex systems and situations. The importance of simulation has increased tremendously during the last few decades, mainly because the rapid pace of development in the field of electronics has turned the computer from a costly and obscure piece of equipment to a cheap ubiquitous tool which is now an integral part of our daily lives. While such technological improvements make it easier to analyze well-understood deterministic systems, increase in speed and storage capacity alone are not enough when simulating situ
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Szarowicz, Adam. "Artificial intelligence for animated autonomous agents." Thesis, Kingston University, 2004. http://eprints.kingston.ac.uk/20735/.

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Automatic creation of animated crowd scenes involving multiple interacting characters is currently a field of extensive research. This is because automatic generation of animation finds immediate applications in film post-production and special effects, computer games or event simulation in crowded areas. The work presented here addresses the problem of inadequate application of AI techniques in current animation research. The thesis presents a survey of different industrial and academic approaches and a number of lacking features are identified. After extensive research in existing systems an
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Coddington, Alexandra Margrit. "Self motivated planning in autonomous agents." Thesis, University College London (University of London), 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.249232.

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Vorrath, Jonathan J. "Implementing METOC transformation : applying autonomous agents /." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2004. http://library.nps.navy.mil/uhtbin/hyperion/04Sep%5FVorrath.pdf.

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Books on the topic "Autonomous agents"

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Bekey, George A., ed. Autonomous Agents. Springer US, 1998. http://dx.doi.org/10.1007/978-1-4615-5735-7.

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1928-, Bekey George A., ed. Autonomous agents. Kluwer, 1998.

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Mukhopadhyay, Subhas Chandra, and Gourab Sen Gupta, eds. Autonomous Robots and Agents. Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-73424-6.

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Osman, Nardine, and Carles Sierra, eds. Autonomous Agents and Multiagent Systems. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-46840-2.

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Schroeder, Michael. Autonomous, Model-Based Diagnosis Agents. Springer US, 1998. http://dx.doi.org/10.1007/978-1-4615-5739-5.

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von Martial, Frank. Coordinating Plans of Autonomous Agents. Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/bfb0016366.

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Sukthankar, Gita, and Juan A. Rodriguez-Aguilar, eds. Autonomous Agents and Multiagent Systems. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-71679-4.

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Sukthankar, Gita, and Juan A. Rodriguez-Aguilar, eds. Autonomous Agents and Multiagent Systems. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-71682-4.

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Osman, Nardine, and Carles Sierra, eds. Autonomous Agents and Multiagent Systems. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-46882-2.

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Beaudoin, Luc. Goal processing in autonomous agents. University of Birmingham, 1994.

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Book chapters on the topic "Autonomous agents"

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Schroeder, Michael. "Autonomous Agents." In Autonomous, Model-Based Diagnosis Agents. Springer US, 1998. http://dx.doi.org/10.1007/978-1-4615-5739-5_5.

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Stuart-Smith, Robert. "Autonomous Agents." In Behavioural Production. Routledge, 2024. http://dx.doi.org/10.4324/9781003028291-4.

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Bekey, George A. "Introduction." In Autonomous Agents. Springer US, 1998. http://dx.doi.org/10.1007/978-1-4615-5735-7_1.

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Fujita, Masahiro, and Hiroaki Kitano. "Development of an Autonomous Quadruped Robot for Robot Entertainment." In Autonomous Agents. Springer US, 1998. http://dx.doi.org/10.1007/978-1-4615-5735-7_2.

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Garcia-Alegre, Maria C., and Felicidad Recio. "Basic Visual and Motor Agents for Increasingly Complex Behavior Generation on a Mobile Robot." In Autonomous Agents. Springer US, 1998. http://dx.doi.org/10.1007/978-1-4615-5735-7_3.

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Pell, Barney, Douglas E. Bernard, Steve A. Chien, et al. "An Autonomous Spacecraft Agent Prototype." In Autonomous Agents. Springer US, 1998. http://dx.doi.org/10.1007/978-1-4615-5735-7_4.

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López-Sánchez, M., F. Esteva, R. López De Màntaras, C. Sierra, and J. Amat. "Map Generation by Cooperative Low-Cost Robots in Structured Unknown Environments." In Autonomous Agents. Springer US, 1998. http://dx.doi.org/10.1007/978-1-4615-5735-7_5.

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Horswill, Ian Douglas. "Grounding Mundane Inference in Perception." In Autonomous Agents. Springer US, 1998. http://dx.doi.org/10.1007/978-1-4615-5735-7_6.

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Haigh, Karen Zita, and Manuela M. Veloso. "Interleaving Planning and Robot Execution for Asynchronous User Requests." In Autonomous Agents. Springer US, 1998. http://dx.doi.org/10.1007/978-1-4615-5735-7_7.

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Durfee, Edmund H., Patrick G. Kenny, and Karl C. Kluge. "Integrated Premission Planning and Execution for Unmanned Ground Vehicles." In Autonomous Agents. Springer US, 1998. http://dx.doi.org/10.1007/978-1-4615-5735-7_8.

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Conference papers on the topic "Autonomous agents"

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Chkroun, Merav, and Amos Azaria. "Autonomous Agents for Interrogation." In 2024 IEEE 36th International Conference on Tools with Artificial Intelligence (ICTAI). IEEE, 2024. https://doi.org/10.1109/ictai62512.2024.00102.

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Cowin, Jasmin. "Autonomous AI Agents – The Kraken Wakes." In 16th International Multi-Conference on Complexity, Informatics and Cybernetics. International Institute of Informatics and Cybernetics, 2025. https://doi.org/10.54808/imcic2025.01.20.

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Azaria, Amos. "Irrational, but Adaptive and Goal Oriented: Humans Interacting with Autonomous Agents." In Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}. International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/ijcai.2022/813.

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Autonomous agents that interact with humans are becoming more and more prominent. Currently, such agents usually take one of the following approaches for considering human behavior. Some methods assume either a fully cooperative or a zero-sum setting; these assumptions entail that the human's goals are either identical to that of the agent, or their opposite. In both cases, the agent is not required to explicitly model the human’s goals and account for humans' adaptation nature. Other methods first compose a model of human behavior based on observing human actions, and then optimize the agent’
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Sudo, Yasuhiro, Keisuke Kasiwase, and Michiko Matsuda. "Verification of Scheduling Efficiency of an Autonomous Assembly System Using the Multi-Agent Manufacturing Simulator." In ASME/ISCIE 2012 International Symposium on Flexible Automation. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/isfa2012-7231.

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This study is an examination of the effect of agent-based autonomous production scheduling, using the virtual factory on multi-agent simulation system. In the autonomous manufacturing system, a production plan is generated autonomously and dynamically, using communication and negotiation between agents that correspond to factory components. As infrastructure software for agent based manufacturing, the artisoc(c) is used as multi-agent simulator system. In this virtual factory, three types of agents are equipped. Users can operate a configuration such as input new jobs, adjusting a machine sett
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Wang, Shilong, Jian Yi, Xia Hong, and Z. Zhang. "Heterogeneous Autonomous Agent Architecture for Agile Manufacturing." In ASME 2002 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2002. http://dx.doi.org/10.1115/detc2002/cie-34397.

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Considering the agent-based modeling and mapping in manufacturing system, some system models are described in this paper, which are included: Domain Based Hierarchical Structure (DBHS), Cascading Agent Structure (CAS), Proximity Relation structure (PRS), and Bus-based network structure (BNS). In DBHS, one sort of agents, called static agents, individually acts as Domain Agents, Resources Agents, UserInterface Agents and Gateway Agents. And the others, named mobile agents, are the brokers of task and process flow. Static agents representing a subsystem may itself be an agent-based network and s
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Cano Córdoba, Filip, Samuel Judson, Timos Antonopoulos, et al. "Analyzing Intentional Behavior in Autonomous Agents under Uncertainty." In Thirty-Second International Joint Conference on Artificial Intelligence {IJCAI-23}. International Joint Conferences on Artificial Intelligence Organization, 2023. http://dx.doi.org/10.24963/ijcai.2023/42.

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Principled accountability for autonomous decision-making in uncertain environments requires distinguishing intentional outcomes from negligent designs from actual accidents. We propose analyzing the behavior of autonomous agents through a quantitative measure of the evidence of intentional behavior. We model an uncertain environment as a Markov Decision Process (MDP). For a given scenario, we rely on probabilistic model checking to compute the ability of the agent to influence reaching a certain event. We call this the scope of agency. We say that there is evidence of intentional behavior if t
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Lieberman, Henry. "Autonomous interface agents." In the SIGCHI conference. ACM Press, 1997. http://dx.doi.org/10.1145/258549.258592.

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Pschetz, L., and C. Speed. "Autonomous economic agents." In Living in the Internet of Things (IoT 2019). Institution of Engineering and Technology, 2019. http://dx.doi.org/10.1049/cp.2019.0146.

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"Autonomous Aquatic Agents." In International Conference on Agents and Artificial Intelligence. SciTePress - Science and and Technology Publications, 2013. http://dx.doi.org/10.5220/0004220003720375.

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Minarsch, David, Seyed Ali Hosseini, Marco Favorito, and Jonathan Ward. "Trading Agent Competition with Autonomous Economic Agents." In Special Session on Super Distributed and Multi-agent Intelligent Systems. SCITEPRESS - Science and Technology Publications, 2021. http://dx.doi.org/10.5220/0010431805740582.

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Reports on the topic "Autonomous agents"

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Lohn, Andrew, Anna Knack, Ant Burke, and Krystal Jackson. Autonomous Cyber Defense. Center for Security and Emerging Technology, 2023. http://dx.doi.org/10.51593/2022ca007.

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The current AI-for-cybersecurity paradigm focuses on detection using automated tools, but it has largely neglected holistic autonomous cyber defense systems — ones that can act without human tasking. That is poised to change as tools are proliferating for training reinforcement learning-based AI agents to provide broader autonomous cybersecurity capabilities. The resulting agents are still rudimentary and publications are few, but the current barriers are surmountable and effective agents would be a substantial boon to society.
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Langley, Pat, Kevin Thompson, Wayne Iba, John H. Gennari, and John A. Allen. An Integrated Cognitive Architecture for Autonomous Agents. Defense Technical Information Center, 1990. http://dx.doi.org/10.21236/ada225701.

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Shen, Wei-Min. Self-Organizing and Autonomous Learning Agents and Systems. Defense Technical Information Center, 2004. http://dx.doi.org/10.21236/ada430491.

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Durfee, Edmund H. Multilevel Coordination Mechanisms for Real-Time Autonomous Agents. Defense Technical Information Center, 2004. http://dx.doi.org/10.21236/ada421748.

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Voulgaris, Petros, Soon-Jo Chung, Seth Hutchinson, Steve LaValle, and Magnus Engestadt. Minimal Representation and Decision Making for Networked Autonomous Agents. Defense Technical Information Center, 2015. http://dx.doi.org/10.21236/ad1001335.

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Pollack, Martha E. Plan Management Capabilities for Autonomous Agents: Extending the Basic Mechanisms. Defense Technical Information Center, 2002. http://dx.doi.org/10.21236/ada408497.

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Lockery, Shawn R. Noise-Tolerant Neural Networks Controlling Adaptive Behavior in Autonomous Agents. Defense Technical Information Center, 1996. http://dx.doi.org/10.21236/ada327443.

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Fink, Glenn A. Tactical Deployment and Management of Autonomous Agents, LDRD Final Report. Office of Scientific and Technical Information (OSTI), 2007. http://dx.doi.org/10.2172/1025696.

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Dzenitis, J., B. Hindson, M. McBride, et al. Detection of aerosolized biological agents by immunoassay followed by autonomous PCR confirmation. Office of Scientific and Technical Information (OSTI), 2003. http://dx.doi.org/10.2172/15013780.

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Koch, Joshua Bruce. Autonomous construction agents: An investigative framework for large sensor network self-management. Office of Scientific and Technical Information (OSTI), 2008. http://dx.doi.org/10.2172/1342560.

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