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Artykuły w czasopismach na temat "Artificial adaptive agents"
Andreoni, James, i John H. Miller. "Auctions with Artificial Adaptive Agents". Games and Economic Behavior 10, nr 1 (lipiec 1995): 39–64. http://dx.doi.org/10.1006/game.1995.1024.
Pełny tekst źródłaMaes, Pattie. "Modeling Adaptive Autonomous Agents". Artificial Life 1, nr 1_2 (październik 1993): 135–62. http://dx.doi.org/10.1162/artl.1993.1.1_2.135.
Pełny tekst źródłaWan, Hakman A., i Andrew Hunter. "On Artificial Adaptive Agents Models of Stock Markets". SIMULATION 68, nr 5 (maj 1997): 279–89. http://dx.doi.org/10.1177/003754979706800503.
Pełny tekst źródłaSteels, Luc. "The Artificial Life Roots of Artificial Intelligence". Artificial Life 1, nr 1_2 (październik 1993): 75–110. http://dx.doi.org/10.1162/artl.1993.1.1_2.75.
Pełny tekst źródłaMERTOGUNO, J. SUKARNO. "DISTRIBUTED KNOWLEDGE-BASE: ADAPTIVE MULTI-AGENTS APPROACH". International Journal on Artificial Intelligence Tools 07, nr 01 (marzec 1998): 59–70. http://dx.doi.org/10.1142/s0218213098000056.
Pełny tekst źródłaZiemke, Tom. "Adaptive Behavior in Autonomous Agents". Presence: Teleoperators and Virtual Environments 7, nr 6 (grudzień 1998): 564–87. http://dx.doi.org/10.1162/105474698565947.
Pełny tekst źródłaKarpov, Valery. "On moral aspects of adaptive behavior of artificial agents". Artificial societies 16, nr 2 (2021): 0. http://dx.doi.org/10.18254/s207751800014740-3.
Pełny tekst źródłaPereira, Ademir Rodrigues, i Liu Hsu. "Adaptive Formation Control using Artificial Potentials for Euler-Lagrange Agents". IFAC Proceedings Volumes 41, nr 2 (2008): 10788–93. http://dx.doi.org/10.3182/20080706-5-kr-1001.01829.
Pełny tekst źródłaBullard, James, i John Duffy. "A model of learning and emulation with artificial adaptive agents". Journal of Economic Dynamics and Control 22, nr 2 (luty 1998): 179–207. http://dx.doi.org/10.1016/s0165-1889(97)00072-9.
Pełny tekst źródłaVrancx, Peter, Enda Howley i Matt Knudson. "Preface to the special issue: adaptive learning agents". Knowledge Engineering Review 31, nr 1 (styczeń 2016): 1–2. http://dx.doi.org/10.1017/s0269888915000144.
Pełny tekst źródłaRozprawy doktorskie na temat "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.
Pełny tekst źródłaRylatt, 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.
Pełny tekst źródłaBagnall, 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/.
Pełny tekst źródłaFent, 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.
Pełny tekst źródłaSeries: 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.
Pełny tekst źródłaThesis 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.
Pełny tekst źródłaKochenderfer, Mykel J. "Adaptive modelling and planning for learning intelligent behaviour". Thesis, University of Edinburgh, 2006. http://hdl.handle.net/1842/1408.
Pełny tekst źródłaJones, Joshua K. "Empirically-based self-diagnosis and repair of domain knowledge". Diss., Georgia Institute of Technology, 2009. http://hdl.handle.net/1853/33931.
Pełny tekst źródłaSchäfer, 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.
Pełny tekst źródłaThis 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.
Pełny tekst źródłaKsiążki na temat "Artificial adaptive agents"
Karl, Tuyls, ALAMAS 2006 (2006 : Brussels, Belgium) i ALAMAS 2007 (2007 : Maastricht, Netherlands), red. 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.
Znajdź pełny tekst źródłaRylatt, R. Mark. Investigations into controllers for adaptive autonomous agents based on artificial neural networks. Leicester: De Montfort University, 2001.
Znajdź pełny tekst źródłaauthor, Shi Dianxi, red. Ruan jian shi ying xing ji shu: Cong ge ti shi ying dao qun ti shi ying. Beijing: Ke xue chu ban she, 2013.
Znajdź pełny tekst źródłaSugumaran, Vijayan. Intelligent, adaptive and reasoning technologies: New developments and applications. Hershey, PA: Information Science Reference, 2011.
Znajdź pełny tekst źródłaMatthew, Knudson, Grześ Marek i SpringerLink (Online service), red. 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.
Znajdź pełny tekst źródłaTaylor, 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.
Znajdź pełny tekst źródłaMamei, Marco. Field-based coordination for pervasive multiagent systems. Berlin: Springer, 2005.
Znajdź pełny tekst źródłaAdaptive bidding in single sided auctions under uncertainty: An agent-based approach in market engineering. Basel: Birkhauser Verlag AG, 2007.
Znajdź pełny tekst źródłaInternational, 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.
Znajdź pełny tekst źródłaA, Vouros George, red. Organized adaption in multi-agent systems: First international workshop, OAMAS 2008, Estoril, Portugal, May 13, 2008 : revised and invited papers. Berlin: Springer-Verlag, 2009.
Znajdź pełny tekst źródłaCzęści książek na temat "Artificial adaptive agents"
Bosse, Tibor, Charlotte Gerritsen, Jeroen de Man i Suzanne Tolmeijer. "Adaptive Training for Aggression de-Escalation". W Artificial Life and Intelligent Agents, 80–93. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-18084-7_7.
Pełny tekst źródłaIshida, Takashi, Hiroshi Yokoi i Yukinori Kakazu. "Emergence of Adaptive Society with Competitive Selfish Agents". W Advances in Artificial Life, 555–59. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/3-540-48304-7_74.
Pełny tekst źródłaBoulehouache, Soufiane, Ramdane Maamri i Zaidi Sahnoun. "Toward Component-Based Self-Adaptive Multi-Strategic Pedagogical Agents". W Artificial Intelligence XXXIV, 169–74. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-71078-5_16.
Pełny tekst źródłaRed’ko, Vladimir G., Oleg P. Mosalov i Danil V. Prokhorov. "Investigation of Evolving Populations of Adaptive Agents". W Artificial Neural Networks: Biological Inspirations – ICANN 2005, 337–42. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11550822_53.
Pełny tekst źródłaLopes Cardoso, Henrique, i Eugénio Oliveira. "Using and Evaluating Adaptive Agents for Electronic Commerce Negotiation". W Advances in Artificial Intelligence, 96–105. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/3-540-44399-1_11.
Pełny tekst źródłaDamoulas, Theodoros, Ignasi Cos-Aguilera, Gillian M. Hayes i Tim Taylor. "Valency for Adaptive Homeostatic Agents: Relating Evolution and Learning". W Advances in Artificial Life, 936–45. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11553090_94.
Pełny tekst źródłaGanon, Zohar, Alon Keinan i Eytan Ruppin. "Evolutionary Network Minimization: Adaptive Implicit Pruning of Successful Agents". W Advances in Artificial Life, 319–27. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-39432-7_34.
Pełny tekst źródłaLegéndi, Richárd, László Gulyás, Rajmund Bocsi i Tamás Máhr. "Modeling Autonomous Adaptive Agents with Functional Language for Simulations". W Progress in Artificial Intelligence, 449–60. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04686-5_37.
Pełny tekst źródłaPacheco, Jorge M., Tom Lenaerts i Francisco C. Santos. "Evolution of Cooperation in a Population of Selfish Adaptive Agents". W Advances in Artificial Life, 535–44. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-74913-4_54.
Pełny tekst źródłaVilà, Xavier. "Adaptive Artificial Agents Play a Finitely Repeated Discrete Principal-Agent Game". W 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.
Pełny tekst źródłaStreszczenia konferencji na temat "Artificial adaptive agents"
"Adaptive Agents for Cyber-Physical Systems". W International Conference on Agents and Artificial Intelligence. SciTePress - Science and and Technology Publications, 2013. http://dx.doi.org/10.5220/0004244402570262.
Pełny tekst źródłaFrasheri, Mirgita, Baran Cürüklü i Mikael Ekstroem. "Towards Collaborative Adaptive Autonomous Agents". W 9th International Conference on Agents and Artificial Intelligence. SCITEPRESS - Science and Technology Publications, 2017. http://dx.doi.org/10.5220/0006195500780087.
Pełny tekst źródłaRanjbar Sahraei, Bijan, Alireza Nemati, Mehdi Farshchi i Ali Meghdari. "Adaptive Fuzzy Sliding Mode Control Approach for Swarm Formation Control of Multi-Agent Systems". W ASME 2010 10th Biennial Conference on Engineering Systems Design and Analysis. ASMEDC, 2010. http://dx.doi.org/10.1115/esda2010-25371.
Pełny tekst źródła"Self-adaptive Topology Neural Network for Online Incremental Learning". W International Conference on Agents and Artificial Intelligence. SCITEPRESS - Science and and Technology Publications, 2014. http://dx.doi.org/10.5220/0004811500940101.
Pełny tekst źródła"A Multi-demand Adaptive Bargaining based on Fuzzy Logic". W International Conference on Agents and Artificial Intelligence. SCITEPRESS - Science and and Technology Publications, 2014. http://dx.doi.org/10.5220/0004907005770585.
Pełny tekst źródła"Agent-based Simulations of Patterns for Self-adaptive Systems". W International Conference on Agents and Artificial Intelligence. SCITEPRESS - Science and and Technology Publications, 2014. http://dx.doi.org/10.5220/0004925001900200.
Pełny tekst źródłaBenomrane, Souad, Zied Sellami, Mounir Ben Ayed i Adel M. Alimi. "An Adaptive Multi-Agent System for Ontology Co-evolution". W International Conference on Agents and Artificial Intelligence. SCITEPRESS - Science and and Technology Publications, 2015. http://dx.doi.org/10.5220/0005257602160221.
Pełny tekst źródła"Self-adaptive Aided Decision-making - Application to Maritime Surveillance". W International Conference on Agents and Artificial Intelligence. SciTePress - Science and and Technology Publications, 2013. http://dx.doi.org/10.5220/0004260404190422.
Pełny tekst źródłaNoblega, Ashey, Aline Paes i Esteban Clua. "Towards Adaptive Deep Reinforcement Game Balancing". W 11th International Conference on Agents and Artificial Intelligence. SCITEPRESS - Science and Technology Publications, 2019. http://dx.doi.org/10.5220/0007395406930700.
Pełny tekst źródłaConn, Marvin, i Darsana Josyula. "Adaptive Classifiers: Applied to Radio Waveforms". W 12th International Conference on Agents and Artificial Intelligence. SCITEPRESS - Science and Technology Publications, 2020. http://dx.doi.org/10.5220/0009180609870994.
Pełny tekst źródłaRaporty organizacyjne na temat "Artificial adaptive agents"
Bullard, James, i 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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