Academic literature on the topic 'Artificial adaptive agents'
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Journal articles on the topic "Artificial adaptive agents"
Andreoni, James, and John H. Miller. "Auctions with Artificial Adaptive Agents." Games and Economic Behavior 10, no. 1 (July 1995): 39–64. http://dx.doi.org/10.1006/game.1995.1024.
Full textMaes, Pattie. "Modeling Adaptive Autonomous Agents." Artificial Life 1, no. 1_2 (October 1993): 135–62. http://dx.doi.org/10.1162/artl.1993.1.1_2.135.
Full textWan, Hakman A., and Andrew Hunter. "On Artificial Adaptive Agents Models of Stock Markets." SIMULATION 68, no. 5 (May 1997): 279–89. http://dx.doi.org/10.1177/003754979706800503.
Full textSteels, Luc. "The Artificial Life Roots of Artificial Intelligence." Artificial Life 1, no. 1_2 (October 1993): 75–110. http://dx.doi.org/10.1162/artl.1993.1.1_2.75.
Full textMERTOGUNO, J. SUKARNO. "DISTRIBUTED KNOWLEDGE-BASE: ADAPTIVE MULTI-AGENTS APPROACH." International Journal on Artificial Intelligence Tools 07, no. 01 (March 1998): 59–70. http://dx.doi.org/10.1142/s0218213098000056.
Full textZiemke, Tom. "Adaptive Behavior in Autonomous Agents." Presence: Teleoperators and Virtual Environments 7, no. 6 (December 1998): 564–87. http://dx.doi.org/10.1162/105474698565947.
Full textKarpov, Valery. "On moral aspects of adaptive behavior of artificial agents." Artificial societies 16, no. 2 (2021): 0. http://dx.doi.org/10.18254/s207751800014740-3.
Full textPereira, Ademir Rodrigues, and Liu Hsu. "Adaptive Formation Control using Artificial Potentials for Euler-Lagrange Agents." IFAC Proceedings Volumes 41, no. 2 (2008): 10788–93. http://dx.doi.org/10.3182/20080706-5-kr-1001.01829.
Full textBullard, James, and John Duffy. "A model of learning and emulation with artificial adaptive agents." Journal of Economic Dynamics and Control 22, no. 2 (February 1998): 179–207. http://dx.doi.org/10.1016/s0165-1889(97)00072-9.
Full textVrancx, Peter, Enda Howley, and Matt Knudson. "Preface to the special issue: adaptive learning agents." Knowledge Engineering Review 31, no. 1 (January 2016): 1–2. http://dx.doi.org/10.1017/s0269888915000144.
Full textDissertations / Theses on the topic "Artificial adaptive agents"
Neves, Pedro. "An Implementation Framework for Emotion Based Adaptive Agents." Master's thesis, Department of Informatics, University of Lisbon, 2008. http://hdl.handle.net/10451/14023.
Full textRylatt, R. Mark. "Investigations into controllers for adaptive autonomous agents based on artificial neural networks." Thesis, De Montfort University, 2001. http://hdl.handle.net/2086/10734.
Full textBagnall, A. J. "Modelling the UK market in electricity generation with autonomous adaptive agents." Thesis, University of East Anglia, 2000. https://ueaeprints.uea.ac.uk/21583/.
Full textFent, Thomas. "Adaptive agents in the House of Quality." SFB Adaptive Information Systems and Modelling in Economics and Management Science, WU Vienna University of Economics and Business, 1999. http://epub.wu.ac.at/1556/1/document.pdf.
Full textSeries: Working Papers SFB "Adaptive Information Systems and Modelling in Economics and Management Science"
Fountoukidis, Dimitrios P. "Adaptive management of emerging battlefield network." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2004. http://library.nps.navy.mil/uhtbin/hyperion/04Mar%5FFountoukidis.pdf.
Full textThesis advisor(s): Alex Bordetsky, John Hiles. Includes bibliographical references. Also available online.
Mazzapioda, Mariagiovanna. "On the evolutionary co-adaptation of morphology and distributed neural controllers in adaptive agents." Thesis, University of Plymouth, 2012. http://hdl.handle.net/10026.1/1011.
Full textKochenderfer, Mykel J. "Adaptive modelling and planning for learning intelligent behaviour." Thesis, University of Edinburgh, 2006. http://hdl.handle.net/1842/1408.
Full textJones, Joshua K. "Empirically-based self-diagnosis and repair of domain knowledge." Diss., Georgia Institute of Technology, 2009. http://hdl.handle.net/1853/33931.
Full textSchäfer, Boris. "Detached tool use in evolutionary robotics : Evolving tool use skills." Thesis, University of Skövde, School of Humanities and Informatics, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-12.
Full textThis master thesis investigates the principal capability of artificial evolution to produce tool use behavior in adaptive agents, excluding the application of life-time learning or adaptation mechanisms. Tool use is one aspect of complex behavior that is expected from autonomous agents acting in real-world environments. In order to achieve tool use behavior an agent needs to identify environmental objects as potential tools before it can use the tools in a problem-solving task. Up to now research in robotics has focused on life-time learning mechanisms in order to achieve this. However, these techniques impose great demands on resources, e.g. in terms of memory or computational power. All of them have shown limited results with respect to a general adaptivity. One might argue that even nature does not present any kind of omni-adaptive agent. While humans seem to be a good example of natural agents that master an impressive variety of life conditions and environments (at least from a human perspective, other examples are spectacular survivability observations of octopuses, scorpions or various viruses) even the most advanced engineering approaches can hardly compete with the simplest life-forms in terms of adaptation. This thesis tries to contribute to engineering approaches by promoting the application of artificial evolution as a complementing element with the presentation of successful pioneering experiments. The results of these experiments show that artificial evolution is indeed capable to render tool use behavior at different levels of complexity and shows that the application of artificial evolution might be a good complement to life-time approaches in order to create agents that are able to implicitly extract concepts and display tool use behavior. The author believes that off-loading at least parts of the concept retrieval process to artificial evolution will reduce resource efforts at life-time when creating autonomous agents with complex behavior such as tool use. This might be a first step towards the vision of a higher level of autonomy and adaptability. Moreover, it shows the demand for an experimental verification of commonly accepted limits between qualities of learned and evolved tool use capabilities.
Angus, Simon Douglas Economics Australian School of Business UNSW. "Economic networks: communication, cooperation & complexity." Awarded by:University of New South Wales. Economics, 2007. http://handle.unsw.edu.au/1959.4/27005.
Full textBooks on the topic "Artificial adaptive agents"
Karl, Tuyls, ALAMAS 2006 (2006 : Brussels, Belgium), and ALAMAS 2007 (2007 : Maastricht, Netherlands), eds. Adaptive agents and multi-agent systems III: Adaptation and multi-agent learning ; 5th, 6th, and 7th European Symposium, ALAMAS 2005-2007 on Adaptive and Learning Agents and Multi-Agent Systems : revised selected papers. Berlin: Springer, 2008.
Find full textRylatt, R. Mark. Investigations into controllers for adaptive autonomous agents based on artificial neural networks. Leicester: De Montfort University, 2001.
Find full textauthor, Shi Dianxi, ed. Ruan jian shi ying xing ji shu: Cong ge ti shi ying dao qun ti shi ying. Beijing: Ke xue chu ban she, 2013.
Find full textSugumaran, Vijayan. Intelligent, adaptive and reasoning technologies: New developments and applications. Hershey, PA: Information Science Reference, 2011.
Find full textMatthew, Knudson, Grześ Marek, and SpringerLink (Online service), eds. Adaptive and Learning Agents: International Workshop, ALA 2011, Held at AAMAS 2011, Taipei, Taiwan, May 2, 2011, Revised Selected Papers. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.
Find full textTaylor, Matthew E. Adaptive and Learning Agents: Second Workshop, ALA 2009, Held as Part of the AAMAS 2009 Conference in Budapest, Hungary, May 12, 2009. Revised Selected Papers. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010.
Find full textMamei, Marco. Field-based coordination for pervasive multiagent systems. Berlin: Springer, 2005.
Find full textAdaptive bidding in single sided auctions under uncertainty: An agent-based approach in market engineering. Basel: Birkhauser Verlag AG, 2007.
Find full textInternational, Joint Conference on Artificial Intelligence (14th 1995 Montréal Québec). Adaption and learning in multi-agent systems: IJCAI '95 workshop, Montréal, Canada, August 21, 1995, proceedings. Berlin: Springer, 1996.
Find full textA, Vouros George, ed. Organized adaption in multi-agent systems: First international workshop, OAMAS 2008, Estoril, Portugal, May 13, 2008 : revised and invited papers. Berlin: Springer-Verlag, 2009.
Find full textBook chapters on the topic "Artificial adaptive agents"
Bosse, Tibor, Charlotte Gerritsen, Jeroen de Man, and Suzanne Tolmeijer. "Adaptive Training for Aggression de-Escalation." In Artificial Life and Intelligent Agents, 80–93. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-18084-7_7.
Full textIshida, Takashi, Hiroshi Yokoi, and Yukinori Kakazu. "Emergence of Adaptive Society with Competitive Selfish Agents." In Advances in Artificial Life, 555–59. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/3-540-48304-7_74.
Full textBoulehouache, Soufiane, Ramdane Maamri, and Zaidi Sahnoun. "Toward Component-Based Self-Adaptive Multi-Strategic Pedagogical Agents." In Artificial Intelligence XXXIV, 169–74. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-71078-5_16.
Full textRed’ko, Vladimir G., Oleg P. Mosalov, and Danil V. Prokhorov. "Investigation of Evolving Populations of Adaptive Agents." In Artificial Neural Networks: Biological Inspirations – ICANN 2005, 337–42. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11550822_53.
Full textLopes Cardoso, Henrique, and Eugénio Oliveira. "Using and Evaluating Adaptive Agents for Electronic Commerce Negotiation." In Advances in Artificial Intelligence, 96–105. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/3-540-44399-1_11.
Full textDamoulas, Theodoros, Ignasi Cos-Aguilera, Gillian M. Hayes, and Tim Taylor. "Valency for Adaptive Homeostatic Agents: Relating Evolution and Learning." In Advances in Artificial Life, 936–45. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11553090_94.
Full textGanon, Zohar, Alon Keinan, and Eytan Ruppin. "Evolutionary Network Minimization: Adaptive Implicit Pruning of Successful Agents." In Advances in Artificial Life, 319–27. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-39432-7_34.
Full textLegéndi, Richárd, László Gulyás, Rajmund Bocsi, and Tamás Máhr. "Modeling Autonomous Adaptive Agents with Functional Language for Simulations." In Progress in Artificial Intelligence, 449–60. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04686-5_37.
Full textPacheco, Jorge M., Tom Lenaerts, and Francisco C. Santos. "Evolution of Cooperation in a Population of Selfish Adaptive Agents." In Advances in Artificial Life, 535–44. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-74913-4_54.
Full textVilà, Xavier. "Adaptive Artificial Agents Play a Finitely Repeated Discrete Principal-Agent Game." In Lecture Notes in Economics and Mathematical Systems, 437–56. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/978-3-662-03366-1_35.
Full textConference papers on the topic "Artificial adaptive agents"
"Adaptive Agents for Cyber-Physical Systems." In International Conference on Agents and Artificial Intelligence. SciTePress - Science and and Technology Publications, 2013. http://dx.doi.org/10.5220/0004244402570262.
Full textFrasheri, Mirgita, Baran Cürüklü, and Mikael Ekstroem. "Towards Collaborative Adaptive Autonomous Agents." In 9th International Conference on Agents and Artificial Intelligence. SCITEPRESS - Science and Technology Publications, 2017. http://dx.doi.org/10.5220/0006195500780087.
Full textRanjbar Sahraei, Bijan, Alireza Nemati, Mehdi Farshchi, and Ali Meghdari. "Adaptive Fuzzy Sliding Mode Control Approach for Swarm Formation Control of Multi-Agent Systems." In ASME 2010 10th Biennial Conference on Engineering Systems Design and Analysis. ASMEDC, 2010. http://dx.doi.org/10.1115/esda2010-25371.
Full text"Self-adaptive Topology Neural Network for Online Incremental Learning." In International Conference on Agents and Artificial Intelligence. SCITEPRESS - Science and and Technology Publications, 2014. http://dx.doi.org/10.5220/0004811500940101.
Full text"A Multi-demand Adaptive Bargaining based on Fuzzy Logic." In International Conference on Agents and Artificial Intelligence. SCITEPRESS - Science and and Technology Publications, 2014. http://dx.doi.org/10.5220/0004907005770585.
Full text"Agent-based Simulations of Patterns for Self-adaptive Systems." In International Conference on Agents and Artificial Intelligence. SCITEPRESS - Science and and Technology Publications, 2014. http://dx.doi.org/10.5220/0004925001900200.
Full textBenomrane, Souad, Zied Sellami, Mounir Ben Ayed, and Adel M. Alimi. "An Adaptive Multi-Agent System for Ontology Co-evolution." In International Conference on Agents and Artificial Intelligence. SCITEPRESS - Science and and Technology Publications, 2015. http://dx.doi.org/10.5220/0005257602160221.
Full text"Self-adaptive Aided Decision-making - Application to Maritime Surveillance." In International Conference on Agents and Artificial Intelligence. SciTePress - Science and and Technology Publications, 2013. http://dx.doi.org/10.5220/0004260404190422.
Full textNoblega, Ashey, Aline Paes, and Esteban Clua. "Towards Adaptive Deep Reinforcement Game Balancing." In 11th International Conference on Agents and Artificial Intelligence. SCITEPRESS - Science and Technology Publications, 2019. http://dx.doi.org/10.5220/0007395406930700.
Full textConn, Marvin, and Darsana Josyula. "Adaptive Classifiers: Applied to Radio Waveforms." In 12th International Conference on Agents and Artificial Intelligence. SCITEPRESS - Science and Technology Publications, 2020. http://dx.doi.org/10.5220/0009180609870994.
Full textReports on the topic "Artificial adaptive agents"
Bullard, James, and John Duffy. A Model of Learning and Emulation with Artificial Adaptive Agents. Federal Reserve Bank of St. Louis, 1994. http://dx.doi.org/10.20955/wp.1994.014.
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