Titlebook: Computational Modeling of Multilevel Organisational Learning and Its Control Using Self-modeling Net; Gülay Canbaloğlu,Jan Treur,Anna Wiew

Accolade

anus928

哑剧

臭名昭著

无能力

https://doi.org/10.1007/978-3-642-68093-9deled at a second-order self-model level. Therefore, for adaptation of aggregation of mental models in particular, a second-order adaptive self-modeling network model for organisational learning can be used. In this chapter it is shown how in such a network model at the second-order self-model level

Perceive

Heuristic Context-Sensitive Control of Mental Model Aggregation for Multilevel Organisational Learniopriate manner at a first-order adaptive self-model level, whereas the control over such processes can be modeled at a second-order adaptive self-model level. In this chapter it is shown how by a second-order self-model in such a network, context-rich knowledge can be specified that is used to contr

极力证明

北京人起源

2198-4182 models by specifying them in a conceptualmanner at a high level of abstraction in a standard table format, withoutany need of algorithmic specification or programming. ..This modeling approachallows to model t978-3-031-28737-4978-3-031-28735-0Series ISSN 2198-4182 Series E-ISSN 2198-4190

挖掘

keloid