{"id":185545,"date":"2010-11-03T00:00:00","date_gmt":"2010-11-18T13:51:14","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/msr-research-item\/analytical-tools-for-natural-algorithms\/"},"modified":"2016-08-22T11:27:46","modified_gmt":"2016-08-22T18:27:46","slug":"analytical-tools-for-natural-algorithms","status":"publish","type":"msr-video","link":"https:\/\/www.microsoft.com\/en-us\/research\/video\/analytical-tools-for-natural-algorithms\/","title":{"rendered":"Analytical Tools for Natural Algorithms"},"content":{"rendered":"<div class=\"asset-content\">\n<p>I will discuss the merits of an algorithmic approach to the analysis of complex self-organizing systems. Specifically, I will show how a new analytical tool, the &#8220;total s-energy,&#8221; grants us a unique perspective on multiagent dynamics. I will mention applications of this and other techniques to classical agreement systems, from bird flocking to firefly synchronization to opinion dynamics.<\/p>\n<\/div>\n<p><!-- .asset-content --><\/p>\n","protected":false},"excerpt":{"rendered":"<p>I will discuss the merits of an algorithmic approach to the analysis of complex self-organizing systems. Specifically, I will show how a new analytical tool, the &#8220;total s-energy,&#8221; grants us a unique perspective on multiagent dynamics. I will mention applications of this and other techniques to classical agreement systems, from bird flocking to firefly synchronization [&hellip;]<\/p>\n","protected":false},"featured_media":280757,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"footnotes":""},"research-area":[13561],"msr-video-type":[],"msr-locale":[268875],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-185545","msr-video","type-msr-video","status-publish","has-post-thumbnail","hentry","msr-research-area-algorithms","msr-locale-en_us"],"msr_download_urls":"","msr_external_url":"https:\/\/youtu.be\/CmHw71z9XT0","msr_secondary_video_url":"","msr_video_file":"","_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/185545"}],"collection":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video"}],"about":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/types\/msr-video"}],"version-history":[{"count":0,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/185545\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media\/280757"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=185545"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=185545"},{"taxonomy":"msr-video-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video-type?post=185545"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=185545"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=185545"},{"taxonomy":"msr-pillar","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-pillar?post=185545"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}