Selection of new projects is one of the major decision making activities in any company. Given a set of potential projects to invest, a subset which matches the company’s strategy and internal resources best has to be selected. In this paper, we propose a multicriteria model for portfolio selection of projects, where we take into consideration that each of the potential projects has several usu...

Efficient collaborative decision making is an important challenge for multiagent systems. Finding optimal joint actions is especially challenging when each agent has only imperfect information about the state of its environment. Such problems can be modeled as collaborative Bayesian games in which each agent receives private information in the form of its type. However, representing and solving...

This paper applies judgment and decision making research to collaborative problem solving. This analysis is done with respect to the Raven and CoRaven decision-making tools for filtering, interpreting, and visualizing large amounts of uncertain data in the domain of intelligence analysis. Raven and CoRaven are multimodal advisory decision aids and their inferential reasoning is based on Bayesia...

the aim of this study was to evaluate the status of health mangers’ evidence-based decision-making in kermanshah university of medial sciences in 2013. in this descriptive - analytical survey, research tool was a 33-item questionnaire based on kansas standard. the study sample was randomly drawn from among 180 experts, heads and deputies of health care centers in kermanshah province. the collec...

This research applies Bayesian learning for belief update to the antiair defense domain, in which an automated defense unit is to defend a speciied territory from a number of attacking missiles. Bayesian learning enables an agent to adjust his beliefs about the possible models of the other agents, given the observation of their behaviors. Through the Recursive Modeling Method (RMM), agent can s...

Human-robot collaboration (HRC) systems integrate the strengths of both humans and robots to improve the joint system performance. In this thesis, we focus on social human-robot interaction (sHRI) factors and in particular regret and trust. Humans experience regret during decision-making under uncertainty when they feel that a better result could be obtained if chosen differently. A framework t...

Morita K. Dynamical foundations of the neural circuit for Bayesian decision making. J Neurophysiol 102: 1–6, 2009. First published April 29, 2009; doi:10.1152/jn.00239.2009. On the basis of accumulating behavioral and neural evidences, it has recently been proposed that the brain neural circuits of humans and animals are equipped with several specific properties, which ensure that perceptual de...