{"id":21615,"date":"2017-03-30T16:15:00","date_gmt":"2017-03-30T16:15:00","guid":{"rendered":"https:\/\/one.sightlinemg.com\/c4isrnet\/uncategorized\/2017\/03\/30\/army-awards-deals-for-autonomous-reasoning\/"},"modified":"2026-08-08T18:09:30","modified_gmt":"2026-08-08T18:09:30","slug":"army-awards-deals-for-autonomous-reasoning","status":"publish","type":"post","link":"https:\/\/one.sightlinemg.com\/c4isrnet\/unmanned\/robotics\/2017\/03\/30\/army-awards-deals-for-autonomous-reasoning\/","title":{"rendered":"Army awards deals for autonomous reasoning"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">Charles River Analytics has been awarded two Army contracts for autonomous reasoning.<br\/><br\/> The contracts are for Charles River&#8217;s Figaro open-source, probabilistic programming language for probabilistic modeling.<br\/><br\/> Under the Energy Models of Critical Components effort, or E-MC2, Charles River will design &#8220;a resource monitoring, energy prediction, and decision-support tool that uses probabilistic reasoning to construct and learn models of complex, real-world systems,&#8221; according to a company news release. &#8220;Using E-MC2&#8217;s models, commanders will receive notifications on possible resource consumption issues.&#8221;<br\/><br\/> In addition, Charles River will provide the Probabilistic Operations Warranted for Energy Reliability Evaluation and Diagnostics, or POWERED, modeling tool to assess the reliability of backup generators. <br\/><br\/> &#8220;We&#8217;re using the flexibility of Figaro in these two efforts,&#8221; said Charles River chief scientist and Figaro developer Avi Pfeffer. &#8220;Figaro lets us quickly assemble models of interacting components that use a combination of physics-based, heuristic, and data-driven reasoning. In E-MC2, we are using Figaro to build models of energy consumption and resource usage. In POWERED, Figaro will provide detailed models of power generator health and status.&#8221;<br\/><br\/><\/p>\n","protected":false},"excerpt":{"rendered":"<p>The contracts are for Charles River&#8217;s Figaro open-source, probabilistic programming language for probabilistic modeling.<\/p>\n","protected":false},"author":7,"featured_media":63327,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_yoast_wpseo_meta-robots-noindex":"","_yoast_wpseo_meta-robots-nofollow":"","_yoast_wpseo_canonical":"","_acf":"","_yoast_wpseo_primary_category":56,"_jetpack_feature_clip_id":0,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","_smg_distribution_targets":[]},"categories":[16,56,21],"tags":[],"coauthors":[3399],"class_list":["post-21615","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-it-networks","category-robotics","category-unmanned"],"acf":{"subheadline":"","legacy_arc_id":"44RZSWZE2REG3OI4OW6T7D24FU","arc_canonical_url":"\/unmanned\/robotics\/2017\/03\/30\/army-awards-deals-for-autonomous-reasoning\/","remove_feature_photo":false,"is_sponsored":false,"subtype":"","redirect_url":"","disable_inline_ads":false,"native_logo_pretext":"Presented By:"},"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v26.0 (Yoast SEO v28.1) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Army awards deals for autonomous reasoning - C4ISRNet<\/title>\n<meta name=\"description\" content=\"The contracts are for Charles River&#039;s Figaro open-source, probabilistic programming language for probabilistic modeling.\" \/>\n<meta name=\"robots\" content=\"noindex, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Army awards deals for autonomous reasoning\" \/>\n<meta property=\"og:description\" content=\"The contracts are for Charles River&#039;s Figaro open-source, probabilistic programming language for probabilistic modeling.\" \/>\n<meta property=\"og:url\" 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