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A Computational Model of Wason's Selection Task

We apply an algorithmic learning model of inquiry to model reasoning carried by experimental subjects in Wason's _Selection Task_ that represents reasoning in the task as computation of a decision tree that supervenes on (partial) semantic representations. We argue that the resulting model improves on previous probabilistic (Bayesian) and pragmatic (Relevance theory) models of the task. In particu

Modal readings of light verbs with to-infinitivals

This paper examines one type of configurationally determined meaning. Specifically, I defend the hypothesis that modality is not only expressed lexically, that is, by modal verbs or adverbs, but can arise syntactically, as the result of certain function words in specific configurations. This paper examines light verbs that receive modal readings due to their syntactic configuration and explores th

Modelling and Optimization Methods of Integrated Production Planning for Steel Plate Mill with Flexible Customization

With diversified requirements and varying manufacturing environments, the optimal production planning encountered in a steel mill became more flexible and also complicated. The flexibility can provide the operators with auxiliary requirements through an implementable integrated production planning. In this paper, a mixed-integer nonlinear programming (MINLP) model is formulated for the optimal pla

Brownboard - A tool to facilitate improved supply chain traceability

This paper aims to describe the brownboard tool and to elaborate on its characteristics. Brownboard can be seen as a tool within process mapping and it is focused on supply chain traceability. The process map is created in a dynamical group process where supply chain actors with different competence level meet and interact. The brownboard tool is used in a case study based on a Swedish supply cha