MODELS AS SELF-AWARE COGNITIVE AGENTS AND ADAPTIVE MEDIATORS FOR MODEL-DRIVEN SCIENCE


Yilmaz L., Chakladar S., Doud K., Smith A. E. , Teran-Somohano A., Oguztuzun H. , ...Daha Fazla

Winter Simulation Conference (WSC), Nevada, Amerika Birleşik Devletleri, 3 - 06 Aralık 2017, ss.1300-1311 identifier

  • Basıldığı Şehir: Nevada
  • Basıldığı Ülke: Amerika Birleşik Devletleri
  • Sayfa Sayıları: ss.1300-1311

Özet

There are often concerns about the reliability of simulation results due to improper design of experiments, limited support in the execution and analysis of experiments, and lack of integrated computational frameworks for model learning through simulation experiments. Such issues result in flawed analysis as well as misdirected human and computational effort. We put forward a methodological basis, which aims to (1) explore the utility of viewing models as adaptive agents that mediate among domain theories, data, requirements, principles, and analogies, (2) underline the role of cognitive assistance for model discovery, experimentation, and evidence evaluation so as to differentiate between competing models and to attain a balance between model exploration and exploitation, and (3) examine strategies for explanatory justification of model assumptions via cognitive models that explicate coherence judgments.