Decision-making in uncertainty and coordination are at the heart of multiagent systems. In this kind of systems, agents have to be able to perceive their environment and take decisions while considering the other agents. When the environment is partially observable, agents have to be able to manage this uncertainty in order to take the most enlightened decisions they can based on the incomplete...

Multi-agent systems provide an attractive architecture for the implementation of complex systems. Much of the research is focussed on complete automation of the decision making process as a means of duplicating human abilities f o r working with new problems and environments. There as also a need for systems that employ the human as an agent and rely on human abilities for common sense and deep...

Cognitive radio is a seemly hopeful technology for future. Spectrum sensing is the most important function of cognitive radio. Most of the spectrums sensing techniques proposed become dysfunctional at lower signal to noise ratio environments. This paper proposes a reliable spectrum sensing algorithm for cooperative cognitive network. A dynamic threshold updating method is developed for which th...

In this paper, we use an information economics approach for analyzing information systems (IS) that are used by multiple decision makers (DM) for making inter-related decisions in a cooperative environment. A decision setting is considered where there may be a precedence relationship between actions, and where one DM's action may be constrained by others' actions. Moreover, an individual DM may...

This paper presents a fusion of ideas across disciplines to study and conceptualize decision making. Typically, decision making is approached as a cognitive process. Nevertheless, there is a growing shift in perception towards decision making as more than a cerebral activity to one being situated, embedded and embodied in the social landscape of work activities. Research addressing these aspect...

This chapter discusses the opportunities for new ubiquitous computing technologies, with concentration on the Internet of Things (IoT), to improve patient safety and quality. The authors focus on elective or planned surgical interventions, although the technology is applicable to primary and trauma care. The chapter is divided into three main sections with section 1 covering medical error issue...

Decision support systems (DSSs) are prevalent information systems for decision making in many competitive business environments. In a DSS, decision making process is intimately related to some factors which determine the quality of information systems and their related products. Traditional approaches to data analysis usually cannot be implemented in sophisticated Companies, where managers ne...