{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T12:54:15Z","timestamp":1742993655998,"version":"3.40.3"},"publisher-location":"Cham","reference-count":17,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030721312"},{"type":"electronic","value":"9783030721329"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021]]},"DOI":"10.1007\/978-3-030-72132-9_11","type":"book-chapter","created":{"date-parts":[[2021,3,26]],"date-time":"2021-03-26T15:02:51Z","timestamp":1616770971000},"page":"115-126","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Accuracy in Business Simulations"],"prefix":"10.1007","author":[{"given":"Mihail","family":"Motzev","sequence":"first","affiliation":[]},{"given":"Ophelia","family":"Pamukchieva","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,3,27]]},"reference":[{"key":"11_CR1","unstructured":"Motzev, M.: Business Forecasting \u2013 A Contemporary Decision Making Approach, 1st edn. Eudaimonia Productions Ltd. (2016)"},{"key":"11_CR2","volume-title":"Inductive Learning Algorithms for Complex Systems Modelling","author":"H Madala","year":"1994","unstructured":"Madala, H., Ivakhnenko, A.G.: Inductive Learning Algorithms for Complex Systems Modelling, 1st edn. CRC Press Inc., Boca Raton (1994)","edition":"1"},{"key":"11_CR3","volume-title":"Self-organizing Data Mining: An Intelligent Approach to Extract Knowledge from Data","author":"JA Mueller","year":"2003","unstructured":"Mueller, J.A., Lemke, F.: Self-organizing Data Mining: An Intelligent Approach to Extract Knowledge from Data, 1st edn. Trafford Publishing, Canada (2003)","edition":"1"},{"key":"11_CR4","first-page":"73","volume":"38","author":"K G\u00f6del","year":"1931","unstructured":"G\u00f6del, K.: \u00dcber formal unentscheidbare S\u00e4tze der Principia Mathematica und verwandter Systeme. I. Monatshefte f\u00fcr Mathematik und Physik 38, 73\u201398 (1931)","journal-title":"I. Monatshefte f\u00fcr Mathematik und Physik"},{"key":"11_CR5","doi-asserted-by":"crossref","first-page":"44","DOI":"10.1111\/j.2517-6161.1977.tb01603.x","volume":"39","author":"M Stone","year":"1977","unstructured":"Stone, M.: An asymptotic equivalence of choice of model by cross-validation and Akaike\u2019s criterion. J. R. Stat. Soc. 39, 44\u201347 (1977)","journal-title":"J. R. Stat. Soc. Ser. B"},{"key":"11_CR6","unstructured":"Burns, Ed.: Deep learning models hampered by black box functionality. TechTarget, Advanced Analytics. (2017). http:\/\/searchbusinessanalytics.techtarget.com\/feature\/Deep-learning- models-hampered-by-black-box-functionality?utm_content=control&utm_medium=EM& asrc=EM_ERU_82565194&utm_campaign=20170914_ERU%20Transmission%20for%20 09\/14\/2017%20(UserUniverse:%202429004)&utm_source=ERU&src=5669449"},{"key":"11_CR7","doi-asserted-by":"publisher","first-page":"359","DOI":"10.1016\/0893-6080(89)90020-8","volume":"2","author":"K Hornik","year":"1989","unstructured":"Hornik, K., Stinchcombe, M., White, H.: Multilayer feed-forward networks are universal approximators. Neural Netw. 2, 359\u2013366 (1989)","journal-title":"Neural Netw."},{"key":"11_CR8","unstructured":"Motzev, M.: Statistical learning networks in simulations for business training and education. In: Developments in Business Simulation and Experiential Learning: vol. 45, Proceedings of the Annual ABSEL Conference, Seattle (2018)"},{"key":"11_CR9","doi-asserted-by":"publisher","DOI":"10.1007\/978-0-387-84858-7","volume-title":"The Elements of Statistical Learning: Data Mining, Inference, and Prediction","author":"T Hastie","year":"2017","unstructured":"Hastie, T., Tibshirani, R., Friedman, J.: The Elements of Statistical Learning: Data Mining, Inference, and Prediction. Springer, New York (2017). https:\/\/doi.org\/10.1007\/978-0-387-84858-7"},{"key":"11_CR10","volume-title":"Foundations of Machine Learning","author":"M Mohri","year":"2012","unstructured":"Mohri, M., Rostamizadeh, A., Talwalkar, A.: Foundations of Machine Learning. The MIT Press, Cambridge (2012)"},{"key":"11_CR11","unstructured":"M\u00fcller, J-A., Lemke, F.: Self-organizing modelling and decision support in economics. In: Proceedings of the IMACS Symposium on Systems Analysis and Simulation, pp. 135\u2013138. Gordon and Breach Publisher (1995)"},{"key":"11_CR12","first-page":"280","volume-title":"Cybernetics and Management","author":"S Beer","year":"1959","unstructured":"Beer, S.: Cybernetics and Management, p. 280. English University Press, London (1959)"},{"key":"11_CR13","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"191","DOI":"10.1007\/978-3-319-91902-7_19","volume-title":"Simulation Gaming. Applications for Sustainable Cities and Smart Infrastructures","author":"M Motzev","year":"2018","unstructured":"Motzev, M.: A framework for developing multi-layered networks of active neurons for simulation experiments and model-based business games using self-organizing data mining with the group method of data handling. In: Lukosch, H.K., Bekebrede, G., Kortmann, R. (eds.) ISAGA 2017. LNCS, vol. 10825, pp. 191\u2013199. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-319-91902-7_19"},{"key":"11_CR14","unstructured":"Motzev,M., Marchev, A.: Multi-stage selection algorithms in simulation. In: XII IMACS World Congress Proceedings, vol. 4, pp. 533\u2013535, Paris (1988)"},{"issue":"1","key":"11_CR15","first-page":"1","volume":"13","author":"L Klein","year":"1980","unstructured":"Klein, L., M\u00fcller, J.-A., Ivakhnenko, A.G.: Modeling of the economics of the USA by self- organization of the system of equations. Sov. Autom. Control 13(1), 1\u20138 (1980)","journal-title":"Sov. Autom. Control"},{"key":"11_CR16","unstructured":"Motzev, M.: New product \u2013 an integrated simulation game in business education. In: Bonds & Bridges. Proceedings of the World Conference of the ISAGA, pp. 63\u201375 (2012)"},{"key":"11_CR17","unstructured":"Motzev, M., Lemke, F.: Self-organizing data mining techniques in model based simula tion games for business training and education. Vanguard Sci. Instrum. Man age. 11 (2015)"}],"container-title":["Lecture Notes in Computer Science","Simulation Gaming Through Times and Disciplines"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-72132-9_11","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,26]],"date-time":"2024-08-26T22:27:11Z","timestamp":1724711231000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-72132-9_11"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030721312","9783030721329"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-72132-9_11","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"27 March 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ISAGA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Simulation and Gaming Association Conference","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Warsaw","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Poland","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26 August 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"30 August 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"50","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"isaga2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.isaga2019.com\/index.php","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"72","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"38","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"53% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2,2","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}