We examine the impact of glucose in a choice task that can distinguish Bayesian from lowerlevel reinforcement heuristic choice. Drawing from a dual systems framework, we hypothesize that glucose administration will increase response times and improve Bayesian accuracy because it should shift decision making towards the more deliberate system 2 and away from the more automatic system 1 decision ...

We examine the impact of glucose on a Bayesian choice task that creates a separating equilibrium between high-level Bayesian choice and lower-level reinforcement heuristic choice. Consistent with a dual systems framework, we hypothesize that glucose administration will both increase reaction times and improve Bayesian accuracy because it should shift decision making towards the more deliberate ...

Reinforcement learning and decision-making (RLDM) provide a quantitative framework and computational theories with which we can disentangle psychiatric conditions into the basic dimensions of neurocognitive functioning. RLDM offer a novel approach to assessing and potentially diagnosing psychiatric patients, and there is growing enthusiasm for both RLDM and computational psychiatry among clinic...

Ubiquitous decision support systems have remained an imaginary and almost useless system for decades since its first introduction in early 1990’s. However, it came out of lab into real world as ubiquitous computing became tangible in the form of mobile devices, pervasive mechanisms, and various mobile Internet technologies. Typically, context-aware systems had received acclaims from both resear...

Rational Water Resources Management requires effective collaboration between decision-makers involved in the operational management of water resources and scientists, who can allow them to operate an informed manner through forecasting decision-making tools. In this article, we show potential benefits resulting from description emblematic case Lake Como. The article describes real a collaborati...

Nitrogen (N) in plants is generally diagnosed by a soil test and plant tissue analysis.However, such analyses are costly in terms of time and money and are not easily accessible byresearchers and extension workers, let alone farmers. Alternative cost-effective methods arerequired for rapid analysis of the N status of crops and to guide N management in wheat. Theobjective of this study was to as...

Bond Graph as a unified multidisciplinary tool is widely used not only for dynamic modelling but also for Fault Detection and Isolation because of its structural and causal proprieties. A binary Fault Signature Matrix is systematically generated but to make the final binary decision is not always feasible because of the problems revealed by such method. The purpose of this paper is introducing ...

Systems supporting decision making became almost inevitable in the modern complex world. Their efficiency depends on the sophisticated interfaces enabling a user take advantage of the support while respecting the increasing on-line information and incomplete, dynamically changing user’s preferences. The best decision making support is useless without the proper preference elicitation. The paper...