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Title | Hybrid Reasoning for Intelligent Systems - |
Description | Hybrid Reasoning for Intelligent Systems DFG Research Unit 1513 Shortcuts: Go to home Jump to navigation Jump to content Contact Sitemap Navigation: Home |
Keywords | N/A |
WebSite | hybrid-reasoning.org |
Host IP | 137.226.233.15 |
Location | Germany |
Site | Rank |
US$670,344
Last updated: 2022-10-04 18:04:02
hybrid-reasoning.org has Semrush global rank of 15,789,373. hybrid-reasoning.org has an estimated worth of US$ 670,344, based on its estimated Ads revenue. hybrid-reasoning.org receives approximately 77,348 unique visitors each day. Its web server is located in Germany, with IP address 137.226.233.15. According to SiteAdvisor, hybrid-reasoning.org is safe to visit. |
Purchase/Sale Value | US$670,344 |
Daily Ads Revenue | US$619 |
Monthly Ads Revenue | US$18,564 |
Yearly Ads Revenue | US$222,761 |
Daily Unique Visitors | 5,157 |
Note: All traffic and earnings values are estimates. |
Host | Type | TTL | Data |
hybrid-reasoning.org. | A | 21600 | IP: 137.226.233.15 |
hybrid-reasoning.org. | NS | 21600 | NS Record: ns2.niemueller.de. |
hybrid-reasoning.org. | NS | 21600 | NS Record: robotns2.second-ns.de. |
hybrid-reasoning.org. | MX | 21600 | MX Record: 10 mail.niemueller.de. |
hybrid-reasoning.org. | TXT | 21600 | TXT Record: v=spf1 a mx a:ms-1.rz.RWTH-Aachen.DE a:ms-2.rz.RWTH-Aachen.DE a:mx-out-1.rwth-aachen.de a:mx-out-2.rwth-aachen.de a:mx-out-3.rwth-aachen.de -all |
Hybrid Reasoning for Intelligent Systems DFG Research Unit 1513 Shortcuts: Go to home Jump to navigation Jump to content Contact Sitemap Navigation: Home News Members Phase 1 Phase 2 Publications Events Contact Us Want to contact us? To get in touch please contact the research unit’s speaker. Contact Us Prof. Gerhard Lakemeyer, Ph.D. RWTH Aachen University Knowledge-based Systems Group Ahornstrasse 55 52056 Aachen, Germany Content: Home Home Knowledge Representation and Reasoning (KR&R) and, in particular, reasoning about actions, their effects and the environment in which actions take place, is fundamental for intelligent behaviour and has been a central concern in Artificial Intelligence from the beginning. To date, most KR&R approaches have focused on qualitative representations, which contrasts with requirements from many application domains where quantitative information needs to be processed as well. Examples of such quantitative aspects are time, probabilistic uncertainty, |
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