diabetic self-management is important for controlling the diabetes complications and promoting health-related quality of life in these patients. the objective of this study was to examine a hypothetical model regarding influences of sociostructural determinants, collaborative decision-making and patient's beliefs system on diabetes self-management.in a cross-sectional descriptive study from dec...

In this paper, we present the use of sequential decision-making process simulations for base agents in our multi-agent based economic landscape (MABEL) model. The sequential decision-making process described here is a data-driven Markov-Decision Problem (MDP) integrated with stochastic properties. Utility acquisition attributes in our model are generated for each time step of the simulation. We...

Decision making requires both information and knowledge. Information (or its absence) is central to decision making situations involving uncertainty and complexity, while knowledge (or its absence) is associated with problems of ambiguity and equivocality. This paper proposes that computer-based decision support technologies are appropriate to supporting decision making under conditions of unce...

We identify outstanding challenges for intelligent support of group decision-making. Decision-making is a multidisciplinary term. Technology for large group decision making is undergoing significant advancement with the widespread use of social networks and online decision support tools. Manual rules that govern traditional face-to face meetings need to be adapted to suit virtual meetings where...

Investment appraisal in advanced manufacturing technologies (AMTs) has been receiving considerable attention over the past three decades. As stated in numerous studies, traditional engineering economic methods cannot adequately justify investments in AMTs. Thus, beside these methods, some other solutions have been proposed in this field. The methods applied in the evaluation of AMTs can be clas...

In this paper, an integrated agent model is introduced addressing mutually interacting Situation Awareness and Functional State dynamics in decision making. This shows how a human’s functional state, more specific a human’s exhaustion and power, can influence a human’s situation awareness, and in turn the decision making. The model is illustrated by a number of simulation scenarios.