Evaluation Mechanism of Collective Intelligence for Heterogeneous Agents Group
暂无分享,去创建一个
Zhifeng Zhao | Rongpeng Li | Anna Dai | Honggang Zhang | Yugeng Zhou | Honggang Zhang | Rongpeng Li | Zhifeng Zhao | Anna Dai | Yugeng Zhou
[1] Nan Li,et al. Optimization Performance Comparison of Three Different Group Intelligence Algorithms on a SVM for Hyperspectral Imagery Classification , 2019, Remote. Sens..
[2] J. Fadul. Collective Learning: Applying Distributed Cognition for Collective Intelligence , 2009 .
[3] David G. Green,et al. Factors of Collective Intelligence: How Smart Are Agent Collectives? , 2016, ECAI.
[4] José Hernández-Orallo,et al. Beyond the Turing Test , 2000, J. Log. Lang. Inf..
[5] Kagan Tumer,et al. An Introduction to Collective Intelligence , 1999, ArXiv.
[6] Jerzy Korczak,et al. Collective Intelligence Supporting Trading Decisions on FOREX Market , 2017, ICCCI.
[7] Tadeusz Szuba,et al. A formal definition of the phenomenon of collective intelligence and its IQ measure , 1999, Future generations computer systems.
[8] Ming Li,et al. An Introduction to Kolmogorov Complexity and Its Applications , 2019, Texts in Computer Science.
[9] Hiroki Sayama,et al. Collective decision making, leadership, and collective intelligence: Tests with agent-based simulations and a Field study , 2016 .
[10] Nader Chmait,et al. Understanding and Measuring Collective Intelligence Across Different Cognitive Systems: An Information-Theoretic Approach , 2017, IJCAI.
[11] Francesco Guala,et al. Heterogeneous Agents in Public Goods Experiments , 2005 .
[12] I. René J. A. te Boekhorst,et al. Pattern Formation in Homogeneous and Heterogeneous Swarms: Differences Between Versatile and Specialized Agents , 2007, 2007 IEEE Symposium on Artificial Life.
[13] John Fox,et al. Understanding intelligent agents: analysis and synthesis , 2003, AI Commun..
[14] A. Woolley,et al. Collective Intelligence and Group Performance , 2015 .
[15] David L. Dowe,et al. A Dynamic Intelligence Test Framework for Evaluating AI Agents , 2016 .
[16] José Hernández-Orallo,et al. Measuring universal intelligence: Towards an anytime intelligence test , 2010, Artif. Intell..
[17] Peter Krafft,et al. A Simple Computational Theory of General Collective Intelligence , 2018, Top. Cogn. Sci..
[18] José Hernández-Orallo. On environment difficulty and discriminating power , 2014, Autonomous Agents and Multi-Agent Systems.
[19] Yuan-Fang Li,et al. An Information-Theoretic Predictive Model for the Accuracy of AI Agents Adapted from Psychometrics , 2017, AGI.
[20] Michael S. Bernstein,et al. Handbook of Collective Intelligence , 2015 .
[21] José Hernández-Orallo,et al. Instrumental Properties of Social Testbeds , 2015, AGI.
[22] Keri Schreiner. Measuring IS: Toward a US Standard , 2000, IEEE Intell. Syst..
[23] F. Yammarino,et al. A new kind of organizational behavior , 2009 .
[24] Bill Hibbard. Measuring Agent Intelligence via Hierarchies of Environments , 2011, AGI.
[25] José Hernández-Orallo,et al. On the influence of intelligence in (social) intelligence testing environments , 2012, ArXiv.
[26] Manuela M. Veloso,et al. Weighted synergy graphs for effective team formation with heterogeneous ad hoc agents , 2014, Artif. Intell..
[27] Itamar Arel,et al. Beyond the Turing Test , 2009, Computer.
[28] Nicolas Christin,et al. Security and insurance management in networks with heterogeneous agents , 2008, EC '08.
[29] T. C. Jannett,et al. Measuring Machine Intelligence of an Agent-Based DistributedSensor Network System , 2007 .
[30] Ngoc Thanh Nguyen,et al. A Method for Improving the Quality of Collective Knowledge , 2015, ACIIDS.
[31] David L. Dowe,et al. A Non-Behavioural, Computational Extension to the Turing Test , 1998 .
[32] David Weschsler,et al. Concept of collective intelligence. , 1971 .
[33] K. Williams,et al. Many Hands Make Light the Work: The Causes and Consequences of Social Loafing , 1979 .
[34] L DoweDavid,et al. Measuring Universal Intelligence in Agent-Based Systems Using the Anytime Intelligence Test , 2016 .
[35] Maja J. Matarić,et al. From Local Interactions to Collective Intelligence , 1995 .
[36] Iain D Couzin,et al. Modular structure within groups causes information loss but can improve decision accuracy , 2019, Philosophical Transactions of the Royal Society B.
[37] David G. Green,et al. Observation, Communication and Intelligence in Agent-Based Systems , 2015, AGI.
[38] P.-P. Grasse. La reconstruction du nid et les coordinations interindividuelles chezBellicositermes natalensis etCubitermes sp. la théorie de la stigmergie: Essai d'interprétation du comportement des termites constructeurs , 1959, Insectes Sociaux.
[39] Herbert Dawid,et al. Macroeconomics with heterogeneous agent models: fostering transparency, reproducibility and replication , 2018, Journal of Evolutionary Economics.
[40] Sean Luke,et al. Cooperative Multi-Agent Learning: The State of the Art , 2005, Autonomous Agents and Multi-Agent Systems.
[41] Shi-Jinn Horng,et al. The chessboard distance transform and the medial axis transform are interchangeable , 1996, Proceedings of International Conference on Parallel Processing.
[42] Arthur C. Graesser,et al. Is it an Agent, or Just a Program?: A Taxonomy for Autonomous Agents , 1996, ATAL.
[43] Lynne E. Parker,et al. Metrics for quantifying system performance in intelligent, fault-tolerant multi-robot teams , 2007, 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[44] D. Meyer,et al. Supporting Online Material Materials and Methods Som Text Figs. S1 to S6 References Evidence for a Collective Intelligence Factor in the Performance of Human Groups , 2022 .
[45] Shane Legg,et al. A Formal Measure of Machine Intelligence , 2006, ArXiv.
[46] Sang Joon Kim,et al. A Mathematical Theory of Communication , 2006 .
[47] Ngoc Thanh Nguyen,et al. INCONSISTENCY OF KNOWLEDGE AND COLLECTIVE INTELLIGENCE , 2008, Cybern. Syst..
[48] Lawrence F. Gray,et al. A Mathematician Looks at Wolfram''s New Kind of Science , 2003 .