{"id":50910,"date":"2024-06-16T08:34:35","date_gmt":"2024-06-16T00:34:35","guid":{"rendered":"https:\/\/swarma.org\/?p=50910"},"modified":"2024-06-16T08:34:35","modified_gmt":"2024-06-16T00:34:35","slug":"%e5%a4%8d%e6%9d%82%e6%80%a7%e6%80%8e%e6%a0%b7%e9%87%8f%e5%8c%96%e5%92%8c%e9%a9%b1%e5%8a%a8%e4%b8%8b%e4%b8%80%e4%bb%a3ai%e7%b3%bb%e7%bb%9f%ef%bd%9c%e5%91%a8%e4%b8%80%e7%9b%b4%e6%92%ad%c2%b7ai-by-comple","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=50910","title":{"rendered":"\u590d\u6742\u6027\u600e\u6837\u91cf\u5316\u548c\u9a71\u52a8\u4e0b\u4e00\u4ee3AI\u7cfb\u7edf\uff5c\u5468\u4e00\u76f4\u64ad\u00b7AI by Complexity\u8bfb\u4e66\u4f1a"},"content":{"rendered":"
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\u4f5c\u4e3a\u8bfb\u4e66\u4f1a<\/a>\u7684\u7b2c\u4e00\u671f\u5206\u4eab\uff0c\u6211\u4eec\u9080\u8bf7\u4e865\u4f4d\u53d1\u8d77\u4eba\u4ee5\u53ca\u590d\u65e6\u5927\u5b66\u4e8e\u7389\u56fd\u8001\u5e08\u6765\u505a\u6982\u8ff0\u6027\u5206\u4eab\uff0c\u5c06\u8bfb\u4e66\u4f1a\u4e30\u5bcc\u7684\u89c6\u89d2\u4ece\u4e0d\u540c\u9886\u57df\u548cAI\u76f8\u5173\u7684\u6838\u5fc3\u95ee\u9898\u3001\u89e3\u51b3\u95ee\u9898\u7684\u65b9\u6cd5\u548c\u601d\u8def\u3001\u548cAI\u7814\u7a76\u7ed3\u5408\u7684\u6f5c\u529b\u7b49\u89d2\u5ea6\u6765\u8fdb\u884c\u5256\u6790\uff0c\u8bd5\u56fe\u5448\u73b0\u4e00\u6761\u591a\u9886\u57df\u5171\u540c\u53d1\u5c55AI\u7684\u8def\u7ebf\u56fe\u3002<\/span><\/strong><\/section>\n

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    19:30-19:55 \u4e8e\u7389\u56fd\uff1a\u4ece\u80fd\u91cf\u7ea6\u675f\u89d2\u5ea6\u7406\u89e3\u5927\u8111\u7ed3\u6784\u548c\u529f\u80fd\u7684\u4f18\u5316\u8bbe\u8ba1\u89c4\u5219<\/strong><\/span><\/section>\n<\/li>\n
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    21:10-21:40 \u6768\u660e\u54f2\uff1a\u56e0\u679c\u6d8c\u73b0 for AI\u3001\u590d\u6742\u7cfb\u7edf\u4e34\u754c\u6027 for AI<\/strong><\/span><\/section>\n<\/li>\n
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    \u673a\u5668\u5b66\u4e60\u7cfb\u7edf\u4e2d\u7684\u590d\u6742\u7f51\u7edc & \u4f5c\u4e3a\u590d\u6742\u7cfb\u7edf\u7684\u5927\u6a21\u578b<\/span><\/strong><\/h3>\n


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    \u5185\u5bb9\u7b80\u4ecb<\/span><\/strong><\/h3>\n
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    \u8fd1\u5e74\u6765\uff0c\u5927\u578b\u795e\u7ecf\u7f51\u7edc\uff0c\u7279\u522b\u662f\u5927\u578b\u8bed\u8a00\u6a21\u578b\uff0c\u5728\u6280\u672f\u80fd\u529b\u4e0a\u53d6\u5f97\u663e\u8457\u8fdb\u5c55\uff0c\u663e\u793a\u51fa\u4e0e\u590d\u6742\u7cfb\u7edf\u7c7b\u4f3c\u7684\u73b0\u8c61\uff0c\u5305\u62ec\u795e\u7ecf\u7f51\u7edc\u89c4\u6a21\u7684\u6269\u5c55\uff08neural scaling law\uff09\u548c\u6d8c\u73b0\u884c\u4e3a\uff08emergent behavior\uff09\u3002\u6211\u4eec\u5c06\u5206\u4eab\u5173\u4e8e\u8fd9\u4e24\u79cd\u73b0\u8c61\u7684\u524d\u6cbf\u7814\u7a76\uff0c\u5e76\u5c1d\u8bd5\u4ece\u590d\u6742\u7cfb\u7edf\u7684\u89c6\u89d2\u89e3\u91ca\u5927\u578b\u6a21\u578b\u7684\u5185\u5728\u673a\u5236\u5982\u4f55\u8fd0\u4f5c\u3002<\/span><\/p>\n


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    \u590d\u6742\u7f51\u7edc\u3001\u5e93\u8ba1\u7b97\u3001neural scaling law\u3001emergent behavior<\/span><\/p>\n


    <\/span><\/h3>\n

    \u53c2\u8003\u6587\u732e<\/span><\/strong><\/span><\/h3>\n
      \n
    1. \n

      Carroll, Thomas L., and Louis M. Pecora. “Network structure effects in reservoir computers.” Chaos: An Interdisciplinary Journal of Nonlinear Science<\/em> 29.8 (2019).<\/span><\/p>\n<\/li>\n

    2. \n

      Li, Xin, et al. “Higher-order Granger reservoir computing: simultaneously achieving scalable complex structures inference and accurate dynamics prediction.” Nature Communications<\/em> 15.1 (2024): 2506.<\/span><\/p>\n<\/li>\n

    3. \n

      Bahri, Yasaman, et al. “Explaining neural scaling laws.” arXiv preprint arXiv:2102.06701<\/em> (2021).<\/span><\/p>\n<\/li>\n

    4. \n
      Song, Jinyeop, et al. “A Resource Model For Neural Scaling Law.” arXiv preprint arXiv:2402.05164<\/em> (2024).<\/span><\/section>\n<\/li>\n<\/ol>\n


      <\/span><\/h3>\n

      \u4e3b\u8bb2\u4eba\uff1a\u5f20\u7ae0<\/span><\/strong><\/span><\/h3>\n
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      <\/span><\/h3>\n

      \u6838\u5fc3\u6982\u5ff5<\/span><\/strong><\/span><\/h3>\n

      \u795e\u7ecf\u4fe1\u53f7\u8868\u5f81\u7b56\u7565\u3001\u80fd\u91cf\u9ad8\u6548\u7684\u795e\u7ecf\u8ba1\u7b97\u548c\u4fe1\u606f\u5904\u7406\u673a\u5236\u3001\u8109\u51b2\u795e\u7ecf\u7f51\u7edc<\/span><\/p>\n


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        \n
      1. \n

        CHKLOVSKII, Dmitri B.; SCHIKORSKI, Thomas; STEVENS, Charles F. Wiring optimization in cortical circuits. Neuron, 2002, 34.3: 341-347.<\/span><\/p>\n<\/li>\n

      2. \n

        Laughlin, S. B., & Sejnowski, T. J. (2003). Communication in neuronal networks. Science, 301(5641), 1870-1874.<\/span><\/p>\n<\/li>\n

      3. \n

        Shu, Y., Hasenstaub, A., Duque, A., Yu, Y., & McCormick, D. A. (2006). Modulation of intracortical synaptic potentials by presynaptic somatic membrane potential. Nature, 441(7094), 761-765.<\/span><\/p>\n<\/li>\n

      4. \n

        Alle, H., Roth, A., and Geiger, J. R. (2009). Energy-efficient action potentials in hippocampal mossy fibers. Science 325, 1405\u20131408.<\/span><\/p>\n<\/li>\n

      5. \n

        Bullmore, E., & Sporns, O. (2012). The economy of brain network organization. Nature reviews neuroscience, 13(5), 336-349.<\/span><\/p>\n<\/li>\n

      6. \n

        Sterling, Peter, and Simon Laughlin. Principles of neural design. MIT press, 2015.<\/span><\/p>\n<\/li>\n

      7. \n

        Yu, Y., et al. Sparse coding and lateral inhibition arising from balanced and unbalanced dendrodendritic excitation and inhibition. Journal of Neuroscience, 2014, 34.41: 13701-13713.<\/span><\/p>\n<\/li>\n

      8. \n

        Lu, Zhongmin, et al. “High-probability neurotransmitter release sites represent an energy-efficient design.” Current Biology 26.19 (2016): 2562-2571.<\/span><\/p>\n<\/li>\n

      9. \n

        CHALK, Matthew; MARRE, Olivier; TKA\u010cIK, Ga\u0161per. Toward a unified theory of efficient, predictive, and sparse coding. Proceedings of the National Academy of Sciences, 2018, 115.1: 186-191.<\/span><\/p>\n<\/li>\n

      10. \n

        Yu, Y., Herman, P., Rothman, D. L., Agarwal, D., & Hyder, F. (2018). Evaluating the gray and white matter energy budgets of human brain function. Journal of Cerebral Blood Flow & Metabolism, 38(8), 1339-1353.<\/span><\/p>\n<\/li>\n

      11. \n

        LEVY, William B.; CALVERT, Victoria G. Communication consumes 35 times more energy than computation in the human cortex, but both costs are needed to predict synapse number. Proceedings of the National Academy of Sciences, 2021, 118.18.<\/span><\/p>\n<\/li>\n

      12. \n

        Yu Y, Herman P, Rothman DL, Agarwal D, & *Hyder F. A 3D atlas of functional human brain energetic connectome based on neuropil distribution, Cerebral Cortex,  2023<\/span><\/p>\n<\/li>\n

      13. \n
        Castrillon, G., Epp, S., Bose, A., Fraticelli, L., Hechler, A., Belenya, R., … & Riedl, V. (2023). An energy costly architecture of neuromodulators for human brain evolution and cognition. Science advances, 9(50).<\/span><\/section>\n<\/li>\n<\/ol>\n


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        \u4e3b\u8bb2\u4eba\uff1a\u4e8e\u7389\u56fd<\/span><\/strong><\/span><\/h3>\n
        \u590d\u65e6\u5927\u5b66\u667a\u80fd\u590d\u6742\u4f53\u7cfb\u57fa\u7840\u7406\u8bba\u4e0e\u5173\u952e\u6280\u672f\u5b9e\u9a8c\u5ba4\u6559\u6388\u3001\u533b\u5b66\u795e\u7ecf\u751f\u7269\u5b66\u56fd\u5bb6\u91cd\u70b9\u5b9e\u9a8c\u5ba4\u53cc\u8058\u7814\u7a76\u5458\u3002\u5357\u4eac\u5927\u5b66\u7269\u7406\u5b66\u535a\u58eb(2001)\uff0c\u7f8e\u56fd\u5361\u8010\u57fa\u6885\u9686\u5927\u5b66\u8ba1\u7b97\u795e\u7ecf\u79d1\u5b66\u535a\u58eb\u540e(2001-2004)\uff0c\u8036\u9c81\u5927\u5b66\u533b\u5b66\u9662\u535a\u58eb\u540e\u548c\u526f\u7814\u7a76\u5458(2005-2011)\u3002\u4e2d\u56fd\u8ba1\u7b97\u795e\u7ecf\u79d1\u5b66\u5b66\u4f1a\u3001\u8111\u673a\u878d\u5408\u4e0e\u751f\u7269\u673a\u5668\u667a\u80fd\u4e13\u4e1a\u59d4\u5458\u4f1a\uff0c\u751f\u7269\u533b\u5b66\u5de5\u7a0b\u4e0e\u81ea\u52a8\u5316\u63a7\u5236\u4e13\u59d4\u4f1a\u7b49\u5b66\u4f1a\u59d4\u5458\uff0cIEEE Transactions on Cognitive and Developmental Systems\uff0cFront in Comp Neurosci\u548cCog.Neurody\u7b49\u671f\u520a\u526f\u4e3b\u7f16\u3002\u4e3b\u6301\u79d1\u6280\u90e8\u91cd\u5927\u9879\u76ee\u8bfe\u9898\u548c\u56fd\u81ea\u7136\u57fa\u91d1\u7b4910\u4f59\u9879\u3002\u5728Nature, PNAS\uff0cNeuron, Physical Review Letters, J Neurosci, PLoS Comp Biol\u7b49\u53d1\u8868SCI\u8bba\u658770\u4f59\u7bc7\u3002\u7814\u7a76\u65b9\u5411\uff1a\u8111\u542f\u53d1\u7684\u667a\u80fd\u590d\u6742\u7cfb\u7edf\u7406\u8bba\u548c\u795e\u7ecf\u8ba1\u7b97\u673a\u5236\u3002<\/span><\/section>\n
        \u6591\u56fe\u4e3b\u9875\uff1ahttps:\/\/pattern.swarma.org\/user\/13970<\/span><\/section>\n

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        <\/span><\/h3>\n

        \u6838\u5fc3\u6982\u5ff5<\/strong><\/span><\/h3>\n

        \u52a8\u529b\u7cfb\u7edf\u7406\u8bba\u3001\u795e\u7ecf\u7f51\u7edc\u53c2\u6570\u5316\u3001\u79d1\u5b66\u8ba1\u7b97<\/span><\/p>\n


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        \u53c2\u8003\u6587\u732e<\/span><\/strong><\/span><\/h3>\n
          \n
        1. \n

          Xiong, W., Ma, M., Huang, X., Zhang, Z., Sun, P. and Tian, Y., 2023. Koopmanlab: machine learning for solving complex physics equations. APL Machine Learning<\/em>, 1<\/em>(3).<\/span><\/p>\n<\/li>\n

        2. \n

          Xiong, W., Huang, X., Zhang, Z., Deng, R., Sun, P. and Tian, Y., 2023. Koopman neural operator as a mesh-free solver of non-linear partial differential equations. arXiv preprint arXiv:2301.10022<\/em>. Accepted by Journal of Computational Physics, in press.<\/span><\/p>\n<\/li>\n

        3. \n

          Mizera, S., 2023. Scattering with neural operators. Physical Review D<\/em>, 108<\/em>(10), p.L101701.<\/span><\/p>\n<\/li>\n

        4. \n

          Brunton, S.L., Budi\u0161i\u0107, M., Kaiser, E. and Kutz, J.N., 2022. Modern Koopman Theory for Dynamical Systems. SIAM Review, <\/em>64(2<\/em>), pp.229-340.<\/span><\/p>\n<\/li>\n

        5. \n

          Azizzadenesheli, K., Kovachki, N., Li, Z., Liu-Schiaffini, M., Kossaifi, J. and Anandkumar, A., 2024. Neural operators for accelerating scientific simulations and design. Nature Reviews Physics<\/em>, pp.1-9.<\/span><\/p>\n<\/li>\n

        6. \n
          Kovachki, N., Li, Z., Liu, B., Azizzadenesheli, K., Bhattacharya, K., Stuart, A. and Anandkumar, A., 2023. Neural operator: Learning maps between function spaces with applications to pdes. Journal of Machine Learning Research<\/em>, 24<\/em>(89), pp.1-97.<\/span><\/section>\n<\/li>\n<\/ol>\n


          <\/span><\/h3>\n

          \u4e3b\u8bb2\u4eba\uff1a\u7530\u6d0b<\/strong><\/span><\/h3>\n
          \u535a\u58eb\uff0c\u7814\u7a76\u9886\u57df\u662f\u7edf\u8ba1\u7269\u7406\u548c\u8ba1\u7b97\u751f\u7269\u5b66\uff0c\u7814\u7a76\u65b9\u5411\u5305\u62ec\u91cd\u6574\u5316\u7fa4\u7406\u8bba\u3001\u590d\u6742\u7f51\u7edc\u4ee5\u53ca\u62d3\u6251\u6570\u636e\u5206\u6790\u3002\u8fd1\u671f\u5de5\u4f5c\u4e3b\u8981\u5305\u62ecSimplex renormalization group\u548cRandom renormalization group\u7b49\u91cd\u6574\u5316\u7fa4\u7406\u8bba\u4ee5\u53caKoopman neural operator\u7b49\u79d1\u5b66\u8ba1\u7b97\u5de5\u5177\u3002<\/span><\/section>\n

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          \u81ea\u7531\u80fd\u7684\u6982\u5ff5\u8d77\u6e90\u4e8e\u7edf\u8ba1\u7269\u7406\uff0c\u540e\u88ab\u5f15\u5165\u673a\u5668\u5b66\u4e60\u548c\u4fe1\u606f\u52a0\u5de5\u9886\u57df\uff0c\u8868\u793a\u5bf9\u4e16\u754c\u8868\u5f81\u72b6\u6001\u4e0e\u5176\u771f\u5b9e\u72b6\u6001\u95f4\u7684\u5dee\u5f02\u3002\u81ea\u7531\u80fd\u539f\u7406\u8ba4\u4e3a\uff0c\u6240\u6709\u53ef\u53d8\u7684\u91cf\uff0c\u53ea\u8981\u4f5c\u4e3a\u7cfb\u7edf\u7684\u4e00\u90e8\u5206\uff0c\u90fd\u4f1a\u4e3a\u6700\u5c0f\u5316\u81ea\u7531\u80fd\u800c\u53d8\u5316\u3002\u672c\u8d28\u4e0a\uff0c\u81ea\u7531\u80fd\u539f\u7406\u5e0c\u671b\u9610\u660e\u5728\u751f\u7269\u7cfb\u7edf\u4e2d\u5b9e\u73b0\u81ea\u7ec4\u7ec7\u7684\u53ef\u80fd\u6027\u3002\u81ea\u7531\u80fd\u539f\u7406\u53ef\u4ee5\u4ece\u4e24\u4e2a\u89d2\u5ea6\u8fdb\u884c\u7406\u89e3\uff0c\u4e00\u79cd\u662f\u4ece\u8d1d\u53f6\u65af\u5b9a\u7406\u51fa\u53d1\u7684\u8ba4\u77e5\u7684\u89c6\u89d2\u3002\u53e6\u4e00\u79cd\u89c6\u89d2\u662f\u4ece\u968f\u673a\u52a8\u529b\u7cfb\u7edf\u4ee5\u53ca\u975e\u5e73\u8861\u7a33\u6001\u7b49\u89c6\u89d2\u51fa\u53d1\u63a2\u7a76\u81ea\u7531\u80fd\u539f\u7406\u4e0e\u667a\u80fd\u4f53\u611f\u77e5\u548c\u884c\u52a8\u4e4b\u95f4\u7684\u8054\u7cfb\uff0c\u8fd9\u5bf9\u4e8e\u6784\u5efa\u51b3\u7b56AI\u667a\u80fd\u4f53\u6216\u8bb8\u80fd\u591f\u5e26\u6765\u65b0\u7684\u542f\u53d1\u3002<\/span><\/p>\n


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            \n
          1. \n

            Smith R, Friston K J, Whyte C J. A step-by-step tutorial on active inference and its application to empirical data[J]. Journal of mathematical psychology, 2022, 107: 102632.<\/span><\/p>\n<\/li>\n

          2. \n

            Karl, Friston. “A free energy principle for biological systems.” Entropy 14.11 (2012): 2100-2121.<\/span><\/p>\n<\/li>\n

          3. \n

            Friston, Karl, and Ping Ao. “Free energy, value, and attractors.” Computational and mathematical methods in medicine 2012 (2012).<\/span><\/p>\n<\/li>\n

          4. \n

            Friston, Karl, et al. “The free energy principle made simpler but not too simple.” Physics Reports 1024 (2023): 1-29.<\/span><\/p>\n<\/li>\n

          5. \n

            Mazzaglia, Pietro, et al. “The free energy principle for perception and action: A deep learning perspective.” Entropy 24.2 (2022): 301.<\/span><\/p>\n<\/li>\n

          6. \n
            Hafner, Danijar, et al. “Action and perception as divergence minimization.” arXiv preprint arXiv:2009.01791 (2020).<\/span><\/section>\n<\/li>\n<\/ol>\n


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            \u8fd1\u51e0\u5e74\u6765\uff0c\u5305\u62ecIlya Sutskever\u3001Marcus Hutter\u3001Jack Rae\u7b49\u7684\u4f17\u591a\u7814\u7a76\u8005\u5747\u5bf9\u538b\u7f29\u4e0e\u667a\u80fd\u4e4b\u95f4\u7684\u5173\u7cfb\u8fdb\u884c\u4e86\u63a2\u8ba8\uff0c\u6709\u89c2\u70b9\u751a\u81f3\u5c06\u8fd9\u4e00\u7406\u8bba\u89c6\u4e3aOpenAI\u7684\u6838\u5fc3\u54f2\u5b66\u3002\u5b9e\u9645\u4e0a\uff0c\u63a2\u7a76\u538b\u7f29\u548c\u667a\u80fd\u7684\u8054\u7cfb\u5df2\u6709\u60a0\u4e45\u5386\u53f2\uff0c\u81f3\u5c11\u53ef\u8ffd\u6eaf\u81f3\u56fe\u7075\u5173\u4e8e\u53ef\u8ba1\u7b97\u6027\u7684\u7814\u7a76\u3002\u6b64\u540e\uff0c1960\u5e74\u4ee3Solomonoff\u3001Kolmogorov \u548c Chaitin\u72ec\u7acb\u63d0\u51fa\u5e76\u53d1\u5c55\u7b97\u6cd5\u4fe1\u606f\u8bba\uff08\u7d27\u968f\u9999\u519c\u7684\u4fe1\u606f\u8bba\u4e4b\u540e\uff09\uff0c\u8be5\u9886\u57df\u9010\u6e10\u5f15\u5165\u4e86\u8bf8\u5982\u67ef\u5f0f\u590d\u6742\u5ea6\u8fd9\u6837\u7684\u91cd\u8981\u6982\u5ff5\uff1a\u5373\u590d\u6742\u5ea6\u8861\u91cf\u7684\u662f\u5728\u901a\u7528\u56fe\u7075\u673a\u4e0a\u751f\u6210\u67d0\u4e2a\u5bf9\u8c61\u7684\u6700\u77ed\u7a0b\u5e8f\u957f\u5ea6\u3002\u867d\u7136\u540e\u9762\u8bc1\u660e\u4e25\u683c\u7684\u67ef\u5f0f\u590d\u6742\u5ea6\u662f\u4e0d\u53ef\u8ba1\u7b97\u7684\uff0c\u4f46\u6709\u5f88\u591a\u65b9\u5f0f\u53ef\u4ee5\u53bb\u903c\u8fd1\uff0c\u6709\u6548\u7684\u538b\u7f29\u7b97\u6cd5\u5c31\u662f\u4e00\u4e2a\u9014\u5f84\u3002\u800c\u5c06\u67ef\u5f0f\u590d\u6742\u5ea6\u548c\u538b\u7f29\u7b97\u6cd5\u7ed3\u5408\u8d77\u6765\uff0c\u5c31\u53ef\u4ee5\u5b9a\u4e49\u51fa\u8ddd\u79bb\u3002\u800c\u8ddd\u79bb\u662f\u5f88\u591a\u7814\u7a76\u7684\u51fa\u53d1\u70b9\uff0c\u6bd4\u5982\u4e24\u4e2a\u8bcd\u5411\u91cf\u610f\u4e49\u5f88\u63a5\u8fd1\u5c31\u662f\u56e0\u4e3a\u5b83\u4eec\u7684\u8ddd\u79bb\u5f88\u8fd1\u3001\u4e24\u4e2a\u836f\u7269\u5206\u5b50\u7684\u529f\u80fd\u76f8\u8fd1\u4e5f\u53ef\u80fd\u662f\u56e0\u4e3a\u5b83\u4eec\u672c\u8eab\u6216\u67d0\u90e8\u5206\u4e4b\u95f4\u7684\u8ddd\u79bb\u5f88\u8fd1\u3001\u82e5\u5e72\u7269\u79cd\u95f4\u7684\u8fdb\u5316\u5173\u7cfb\u4e5f\u662f\u901a\u8fc7\u8ddd\u79bb\u6784\u5efa\u7684\u3002<\/span><\/p>\n


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            \u6838\u5fc3\u6982\u5ff5<\/span><\/strong><\/span><\/h3>\n

            \u7b97\u6cd5\u4fe1\u606f\u8bba\u3001\u4fe1\u606f\u8ddd\u79bb\u3001\u538b\u7f29\u7b97\u6cd5<\/span><\/p>\n


            <\/span><\/h3>\n

            \u53c2\u8003\u6587\u732e<\/span><\/strong><\/span><\/h3>\n
              \n
            1. \n

              Cilibrasi, Rudi, and Paul MB Vit\u00e1nyi. “Clustering by compression.” IEEE Transactions on Information theory 51.4 (2005): 1523-1545.<\/span><\/p>\n<\/li>\n

            2. \n

              Del\u00e9tang, Gr\u00e9goire, et al. “Language modeling is compression.” arXiv preprint arXiv:2309.10668 (2023).<\/span><\/p>\n<\/li>\n

            3. \n

              Johnston, Iain G., et al. “Symmetry and simplicity spontaneously emerge from the algorithmic nature of evolution.” Proceedings of the National Academy of Sciences 119.11 (2022): e2113883119.<\/span><\/p>\n<\/li>\n

            4. \n

              Sharma, Abhishek, et al. “Assembly theory explains and quantifies selection and evolution.” Nature 622.7982 (2023): 321-328.<\/span><\/p>\n<\/li>\n

            5. \n
              Zecheng Zhang, Chunxiuzi Liu, Yingjun Zhu, et al. Evolutionary Tinkering Enriches the Hierarchical and Interlaced Structures in Amino Acid Sequences<\/span><\/section>\n<\/li>\n<\/ol>\n


              <\/span><\/h3>\n

              \u4e3b\u8bb2\u4eba\uff1a\u5218\u5b87<\/strong><\/span><\/h3>\n
              \u526f\u6559\u6388\uff0c\u5317\u4eac\u5e08\u8303\u5927\u5b66\u73e0\u6d77\u6821\u533a-\u6587\u7406\u5b66\u9662\u7cfb\u7edf\u79d1\u5b66\u7cfb-Evolving Complex Systems Lab\u3002\u7269\u7406\u3001\u6570\u5b66\u80cc\u666f\uff08\u745e\u5178Uppsala\u5927\u5b66\u5e94\u7528\u6570\u5b66\u4e0e\u7edf\u8ba1\u535a\u58eb\uff09\uff0c\u5148\u540e\u5728\u82f1\u56fdGlasgow\u5927\u5b66\u5316\u5b66\u7cfb\u3001\u8377\u5170Groningen\u5927\u5b66\u5316\u5b66\u751f\u7269\u7cfb\u3001\u745e\u5178Mittag-Leffler\u6570\u5b66\u7814\u7a76\u6240\u4efb\u7814\u7a76\u804c\u4f4d\u3002\u76ee\u524d\u7814\u7a76\u65b9\u5411\uff1a\u7528\u7b97\u6cd5\u4fe1\u606f\u8bba\u7814\u7a76\u751f\u547d\u7684\u8d77\u6e90\u4e0e\u6f14\u5316\uff0c\u5373\uff0c\u628a\u751f\u547d\u7cfb\u7edf\u5b9a\u91cf\u523b\u753b\u6210\u8f6f\u4ef6\u7cfb\u7edf\u3002\u8bba\u6587\u53d1\u8868\u5728Science Advances, Physical Review Research, Journal of Biological Chemistry, Pattern Recognition\u7b49\u671f\u520a\u3002\u5fae\u4fe1\u516c\u4f17\u53f7\uff1a\u3010ecsLab\u3011\u3002<\/span><\/section>\n

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              \u56e0\u679c\u6d8c\u73b0 for AI\u3001\u590d\u6742\u7cfb\u7edf\u4e34\u754c\u6027 for AI<\/span><\/strong><\/h3>\n


              <\/span><\/strong><\/h3>\n

              \u5185\u5bb9\u7b80\u4ecb<\/span><\/strong><\/span><\/h3>\n
              1.\u4fe1\u606f\u8bba\u662f\u89e3\u91ca\u4eba\u5de5\u667a\u80fd\u9ed1\u7bb1\u5b50\u7684\u4e00\u4e2a\u6709\u529b\u5de5\u5177\uff0c\u6bd4\u5982\u7ecf\u5178\u7684\u4fe1\u606f\u74f6\u9888\u7406\u8bba\uff0c\u4f46\u5982\u679c\u60f3\u8981\u89e3\u91ca\u751a\u81f3\u4f18\u5316\u4eba\u5de5\u667a\u80fd\u7684\u6cdb\u5316\u80fd\u529b\uff0c\u4e0d\u80fd\u53ea\u4f9d\u9760\u4f20\u7edf\u7684\u4fe1\u606f\u8bba\uff0c\u800c\u8981\u8fdb\u4e00\u6b65\u63a2\u6c42AI\u4f55\u4ee5\u6709\u6548\u7684\u80cc\u540e\u56e0\u679c\u673a\u5236\u3002\u56e0\u679c\u6d8c\u73b0\u6846\u67b6\u57282013\u5e74\u7531Erik Hoel\u6b63\u5f0f\u63d0\u51fa\uff0c\u662f\u4ee5\u4fe1\u606f\u8bba\u548c\u56e0\u679c\u79d1\u5b66\u4e3a\u5de5\u5177\uff0c\u5c1d\u8bd5\u91cf\u5316\u590d\u6742\u7cfb\u7edf\u7684\u6d8c\u73b0\u73b0\u8c61\u3002\u5982\u4ecaAI\u7684\u8fc5\u731b\u53d1\u5c55\u4f7f\u5f97\u6211\u4eec\u53ef\u4ee5\u5c06\u6df1\u5ea6\u795e\u7ecf\u7f51\u7edc\u672c\u8eab\u770b\u4f5c\u6210\u4e00\u4e2a\u590d\u6742\u7cfb\u7edf\uff0c\u6765\u5b9a\u91cf\u7814\u7a76\u5b83\u7684\u5b66\u4e60\u8fc7\u7a0b\uff0c\u751a\u81f3\u89e3\u91ca\u6d8c\u73b0\u7684\u73b0\u8c61\u3002\u6b64\u6b21\u4f1a\u7b80\u5355\u4ecb\u7ecd\u56e0\u679c\u6d8c\u73b0\u9886\u57df\u76ee\u524d\u5df2\u7ecf\u5bf9\u795e\u7ecf\u7f51\u7edc\u672c\u8eab\u505a\u5b9a\u91cf\u7814\u7a76\u7684\u7ed3\u679c\uff0c\u4ee5\u53ca\u672a\u6765\u5728AI\u9886\u57df\u53ef\u4ee5\u501f\u52a9\u56e0\u679c\u6d8c\u73b0\u76f8\u5173\u6307\u6807\u6765\u7814\u7a76\u7684\u95ee\u9898\u3002<\/span><\/section>\n
              2.\u590d\u6742\u7cfb\u7edf\u7684\u4e34\u754c\u73b0\u8c61\u4e00\u76f4\u662f\u590d\u6742\u7cfb\u7edf\u7814\u7a76\u7684\u4e00\u4e2a\u7126\u70b9\uff0c\u4e8e\u662f\u4e5f\u6709\u5f88\u591a\u5b66\u8005\u601d\u8003\uff1a\u795e\u7ecf\u7f51\u7edc\u7684\u5b66\u4e60\u4e2d\u662f\u5426\u4e5f\u5b58\u5728\u4e34\u754c\u73b0\u8c61\uff1f\u5b83\u548c\u795e\u7ecf\u7f51\u7edc\u7684\u5b66\u4e60\u6548\u679c\u6709\u7740\u600e\u6837\u7684\u5173\u7cfb\uff1f\u6bd4\u5982\u81ea\u7ec4\u7ec7\u4e34\u754c\uff0c\u6307\u7684\u662f\u7cfb\u7edf\u968f\u7740\u65f6\u95f4\u6f14\u5316\u81ea\u7136\u800c\u7136\u5c31\u80fd\u8fbe\u5230\u4e00\u79cd\u4e34\u754c\u72b6\u6001\uff0c\u65e0\u9700\u5916\u754c\u7684\u5e72\u9884\u6216\u8c03\u63a7\uff0c\u5e38\u7528\u6765\u89e3\u91ca\u73b0\u5b9e\u5f53\u4e2d\u7684\u706b\u707e\u3001\u96ea\u5d29\u7b49\u7b49\u81ea\u7136\u73b0\u8c61\uff0c\u4e5f\u80fd\u5728\u751f\u7269\u4f53\u7684\u7ec6\u80de\u4ea4\u4e92\u8fc7\u7a0b\u4e2d\u53d1\u73b0\u3002\u76ee\u524d\u6211\u4eec\u4e5f\u627e\u5230\u4e86\u5728\u795e\u7ecf\u7f51\u7edc\u8bad\u7ec3\u4e2d\u7684\u81ea\u7ec4\u7ec7\u4e34\u754c\u73b0\u8c61\uff0c\u6216\u8bb8\u53ef\u4ee5\u6307\u5bfc\u6211\u4eec\u8bad\u7ec3\u51fa\u66f4\u7b80\u6d01\u548c\u5177\u6709\u53ef\u89e3\u91ca\u6027\u7684\u795e\u7ecf\u7f51\u7edc\u3002\u53e6\u5916\u5728\u50a8\u5907\u6c60\u52a8\u529b\u5b66\u8fd9\u4e2aAI\u5206\u652f\u5f53\u4e2d\uff0c\u4e5f\u5df2\u7ecf\u6709\u5bf9\u4e34\u754c\u76f8\u53d8\u7684\u7814\u7a76\uff0c\u53ef\u4ee5\u79f0\u4e4b\u4e3a\u201c\u6df7\u6c8c\u8fb9\u7f18\u201d\u4e34\u754c\u73b0\u8c61\u3002\u8fd9\u6837\u7684\u4e34\u754c\u73b0\u8c61\u548c\u8fd9\u79cd\u8bbe\u8ba1\u67b6\u6784\u80fd\u591f\u505a\u597d\u957f\u65f6\u95f4\u5e8f\u5217\u9884\u6d4b\u6709\u7740\u5343\u4e1d\u4e07\u7f15\u7684\u8054\u7cfb\u3002<\/span><\/section>\n

              <\/span><\/section>\n

              \u6838\u5fc3\u6982\u5ff5<\/span><\/strong><\/span><\/h3>\n

              \u56e0\u679c\u6d8c\u73b0\u3001\u6709\u6548\u4fe1\u606f\u3001\u4fe1\u606f\u74f6\u9888\u3001\u81ea\u7ec4\u7ec7\u4e34\u754c\u3001\u50a8\u5907\u6c60\u52a8\u529b\u5b66<\/span><\/p>\n


              <\/span><\/h3>\n

              \u53c2\u8003\u6587\u732e<\/span><\/strong><\/span><\/h3>\n
                \n
              1. \n

                Mattsson, S., Michaud, E. J., & Hoel, E. (2020). Examining the causal structures of deep neural networks using information theory<\/em> (arXiv:2010.13871). arXiv.<\/span><\/p>\n<\/li>\n

              2. \n

                Yang, M., Wang, Z., Liu, K., Rong, Y., Yuan, B., & Zhang, J. (2023). Finding emergence in data by maximizing effective information<\/em> (arXiv:2308.09952). arXiv.<\/span><\/p>\n<\/li>\n

              3. \n

                Yuan, B., Zhang, J., Lyu, A., Wu, J., Wang, Z., Yang, M., Liu, K., Mou, M., & Cui, P. (2024). Emergence and Causality in Complex Systems: A Survey of Causal Emergence and Related Quantitative Studies. Entropy<\/em>, 26<\/em>(2), 108.<\/span><\/p>\n<\/li>\n

              4. \n

                Kanders, K., Lorimer, T., & Stoop, R. (2017). Avalanche and edge-of-chaos criticality do not necessarily co-occur in neural networks. Chaos: An Interdisciplinary Journal of Nonlinear Science<\/em>, 27<\/em>(4), 047408.<\/span><\/p>\n<\/li>\n

              5. \n

                Katsnelson, M. I., Vanchurin, V., & Westerhout, T. (2021). Self-organized criticality in neural networks<\/em> (arXiv:2107.03402). arXiv.<\/span><\/p>\n<\/li>\n

              6. \n

                Mattsson, S., Michaud, E. J., & Hoel, E. (2020). Examining the causal structures of deep neural networks using information theory<\/em> (arXiv:2010.13871). arXiv.<\/span><\/p>\n<\/li>\n

              7. \n

                Tetzlaff, C., Okujeni, S., Egert, U., W\u00f6rg\u00f6tter, F., & Butz, M. (2010). Self-Organized Criticality in Developing Neuronal Networks. PLoS Computational Biology<\/em>, 6<\/em>(12), e1001013.<\/span><\/p>\n<\/li>\n

              8. \n
                Wang, L., Fan, H., Xiao, J., Lan, Y., & Wang, X. (2022). Criticality in Reservoir Computer of Coupled Phase Oscillators. Physical Review E<\/em>, 105<\/em>(5), L052201.<\/span><\/section>\n<\/li>\n<\/ol>\n


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                \u65f6\u95f4\uff1a<\/strong>2024\u5e746\u670817\u65e5\uff08\u5468\u4e00\uff09\u665a18:50-22:00<\/span><\/p>\n

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                \u6591\u56fe\u94fe\u63a5\uff1ahttps:\/\/pattern.swarma.org\/study_group\/45?from=wechat<\/span><\/p>\n


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                \u626b\u7801\u53c2\u4e0e<\/span><\/span><\/a>AI by Complexity \u8bfb\u4e66\u4f1a<\/a>\uff0c\u52a0\u5165\u7fa4\u804a\uff0c\u83b7\u53d6\u7cfb\u5217\u8bfb\u4e66\u4f1a\u56de\u770b\u6743\u9650\uff0c\u52a0\u5165AI by Complexity\u793e\u533a\uff0c\u4e0e\u793e\u533a\u7684\u4e00\u7ebf\u79d1\u7814\u5de5\u4f5c\u8005\u6c9f\u901a\u4ea4\u6d41\uff0c\u5171\u540c\u63a2\u7d22\u590d\u6742\u79d1\u5b66\u4e0eAI\u4ea4\u53c9\u7684\u524d\u6cbf\u9886\u57df\u7684\u53d1\u5c55\u3002<\/span><\/section>\n
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                \u8bfb\u4e66\u4f1a\u6210\u5458\u5747\u53ef\u4ee5\u5728\u8bfb\u4e66\u4f1a\u671f\u95f4\u7533\u8bf7\u6210\u4e3a\u4e3b\u8bb2\u4eba\u3002\u4e3b\u8bb2\u4eba\u4f5c\u4e3a\u8bfb\u4e66\u4f1a\u6210\u5458\uff0c\u5747\u9075\u5faa\u5185\u5bb9\u5171\u521b\u5171\u4eab\u673a\u5236\uff0c\u53ef\u4ee5\u83b7\u5f97\u62a5\u540d\u8d39\u9000\u6b3e\uff0c\u5e76\u5171\u4eab\u672c\u8bfb\u4e66\u4f1a\u4ea7\u751f\u7684\u6240\u6709\u5185\u5bb9\u8d44\u6e90\u3002\u8be6\u60c5\u8bf7\u89c1\uff1aAI by Complexity \u8bfb\u4e66\u4f1a\u542f\u52a8\uff1a\u590d\u6742\u6027\u600e\u6837\u91cf\u5316\u548c\u9a71\u52a8\u4e0b\u4e00\u4ee3AI\u7cfb\u7edf<\/a><\/span><\/p>\n


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                AI By Complexity\u8bfb\u4e66\u4f1a\u62db\u52df\u4e2d<\/strong>
                <\/p>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n


                <\/section>\n
                \u5927\u6a21\u578b\u3001\u591a\u6a21\u6001\u3001\u591a\u667a\u80fd\u4f53\u5c42\u51fa\u4e0d\u7a77\uff0c\u5404\u79cd\u5404\u6837\u7684\u795e\u7ecf\u7f51\u7edc\u53d8\u4f53\u5728AI\u5927\u821e\u53f0\u5404\u663e\u8eab\u624b\u3002\u590d\u6742\u7cfb\u7edf\u9886\u57df\u5bf9\u4e8e\u6d8c\u73b0\u3001\u5c42\u7ea7\u3001\u9c81\u68d2\u6027\u3001\u975e\u7ebf\u6027\u3001\u6f14\u5316\u7b49\u95ee\u9898\u7684\u63a2\u7d22\u4e5f\u5728\u6301\u7eed\u63a8\u8fdb\u3002\u800c\u4f18\u79c0\u7684AI\u7cfb\u7edf\u3001\u521b\u65b0\u6027\u7684\u795e\u7ecf\u7f51\u7edc\uff0c\u5f80\u5f80\u5728\u4e00\u5b9a\u7a0b\u5ea6\u4e0a\u5177\u5907\u4f18\u79c0\u590d\u6742\u7cfb\u7edf\u7684\u7279\u5f81\u3002\u56e0\u6b64\uff0c\u53d1\u5c55\u4e2d\u7684\u590d\u6742\u7cfb\u7edf\u7406\u8bba\u65b9\u6cd5\u5982\u4f55\u6307\u5bfc\u672a\u6765AI\u7684\u8bbe\u8ba1\uff0c\u6b63\u5728\u6210\u4e3a\u5907\u53d7\u5173\u6ce8\u7684\u95ee\u9898\u3002<\/span><\/section>\n

                <\/section>\n
                \u96c6\u667a\u4ff1\u4e50\u90e8\u8054\u5408\u52a0\u5229\u798f\u5c3c\u4e9a\u5927\u5b66\u5723\u8fed\u6208\u5206\u6821\u52a9\u7406\u6559\u6388\u5c24\u4ea6\u5e84\u3001\u5317\u4eac\u5e08\u8303\u5927\u5b66\u526f\u6559\u6388\u5218\u5b87\u3001\u5317\u4eac\u5e08\u8303\u5927\u5b66\u7cfb\u7edf\u79d1\u5b66\u5b66\u9662\u5728\u8bfb\u535a\u58eb\u5f20\u7ae0\u3001\u725f\u7267\u4e91\u548c\u5728\u8bfb\u7855\u58eb\u6768\u660e\u54f2\u3001\u6e05\u534e\u5927\u5b66\u5728\u8bfb\u535a\u58eb\u7530\u6d0b\u5171\u540c\u53d1\u8d77\u300cAI By Complexity\u300d\u8bfb\u4e66\u4f1a<\/a>\uff0c\u63a2\u7a76\u5982\u4f55\u5ea6\u91cf\u590d\u6742\u7cfb\u7edf\u7684\u201c\u597d\u574f\u201d\uff1f\u5982\u4f55\u7406\u89e3\u590d\u6742\u7cfb\u7edf\u7684\u673a\u5236\uff1f\u8fd9\u4e9b\u7406\u89e3\u662f\u5426\u53ef\u4ee5\u542f\u53d1\u6211\u4eec\u8bbe\u8ba1\u66f4\u597d\u7684AI\u6a21\u578b\uff1f\u5728\u672c\u8d28\u4e0a\u5e2e\u52a9\u6211\u4eec\u8bbe\u8ba1\u66f4\u597d\u7684AI\u7cfb\u7edf\u3002\u8bfb\u4e66\u4f1a\u4e8e6\u670810\u65e5\u5f00\u59cb\uff0c\u6bcf\u5468\u4e00\u665a\u4e0a20:00-22:00\u4e3e\u529e\u3002\u6b22\u8fce\u4ece\u4e8b\u76f8\u5173\u9886\u57df\u7814\u7a76\u3001\u5bf9AI+Complexity\u611f\u5174\u8da3\u7684\u670b\u53cb\u4eec\u62a5\u540d\u8bfb\u4e66\u4f1a\u4ea4\u6d41\uff01<\/span><\/section>\n


                <\/span><\/p>\n

                <\/span><\/span><\/a><\/p>\n


                <\/section>\n
                \u8be6\u60c5\u8bf7\u89c1\uff1a<\/span><\/section>\n
                AI by Complexity \u8bfb\u4e66\u4f1a\u542f\u52a8\uff1a\u590d\u6742\u6027\u600e\u6837\u91cf\u5316\u548c\u9a71\u52a8\u4e0b\u4e00\u4ee3AI\u7cfb\u7edf<\/span><\/a>
                <\/section>\n


                <\/p>\n

                \n


                <\/span><\/p>\n<\/section>\n

                \u70b9\u51fb\u201c\u9605\u8bfb\u539f\u6587\u201d\uff0c\u62a5\u540d\u8bfb\u4e66\u4f1a<\/span><\/section>\n

                <\/mp-style-type><\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

                \u5bfc\u8bed \u96c6\u667a\u4ff1\u4e50\u90e8\u8054\u5408\u52a0\u5229\u798f\u5c3c\u4e9a\u5927\u5b66\u5723\u8fed\u6208\u5206\u6821\u52a9\u7406\u6559\u6388\u5c24\u4ea6\u5e84\u3001\u5317\u4eac\u5e08\u8303\u5927\u5b66\u526f\u6559\u6388\u5218\u5b87\u3001\u5317\u4eac\u5e08\u8303\u5927\u5b66\u7cfb\u7edf\u79d1\u5b66\u5b66\u9662\u5728\u8bfb\u535a\u58eb\u5f20\u7ae0\u3001\u725f\u7267\u4e91\u548c\u5728\u8bfb\u7855\u58eb\u6768\u660e\u54f2\u3001\u6fb3\u95e8\u57ce\u5e02\u5927\u5b66\u52a9\u7406\u6559\u6388\u7530\u6d0b\u5171\u540c\u53d1\u8d77\u300cAI by Complexity\u300d\u8bfb\u4e66\u4f1a\uff0c\u8ba1\u5212\u4ece\u4f5c\u4e3a\u590d\u6742\u7cfb\u7edf\u7684AI\u5927\u6a21\u578b\u3001\u751f\u547d\uff08\u8111\uff09\u590d\u6742\u7cfb\u7edf\u3001\u7edf\u8ba1\u7269\u7406\u3001\u590d\u6742\u7f51\u7edc\u3001\u4fe1\u606f\u8bba…<\/p>\n","protected":false},"author":0,"featured_media":50899,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[1],"tags":[],"special":[],"_links":{"self":[{"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/posts\/50910"}],"collection":[{"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/types\/post"}],"replies":[{"embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=50910"}],"version-history":[{"count":0,"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/posts\/50910\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/media\/50899"}],"wp:attachment":[{"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=50910"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=50910"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=50910"},{"taxonomy":"special","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fspecial&post=50910"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}