Abstract
Each one of us has a particular way to behave before a conflict. We can assume a cooperative and collaborative attitude or we can behave in a more selfish or competitive way. Given our personality traits or our past experiences, each one has a tendency to behave more towards one or the other. Nonetheless, there are also external factors that influence our conflict handling style including the individuals we are conflicting with, our level of stress or fatigue, the level of escalation of the conflict or even the context or the setting in which it is being settled. Undeniably, the personal conflict resolution style of the parties is preponderant for the outcome of the conflict resolution process. The mediator, while knowing the style of each party, may better conduct the process, namely by pointing out and changing unrealistic, selfish or overly competitive behaviors. Traditionally, the mediator makes use of questionnaires to assess the conflict resolution style of the parties. In this chapter we detail a new view on the problem in which this knowledge is built in real-time, in a non-invasive way, based on the behavior evidenced by the parties during the conflict resolution process. The level of escalation of the conflict is also analyzed similarly, through the non-invasive analysis of the level of stress of the parties during the actual negotiation process. The relationship between stress and the personal conflict handling style is also studied.

Abstract

Abstract
Ambient Intelligence emerged more than two decades ago, with the exciting promise of technologically empowered environments that would be everywhere, cater to all our needs, be constantly available, know who we are and what we like, and allow us to make explicit requests using natural means instead of the traditional mouse and keyboard. At a time in which this technological unravelling was expected to have already happened, we still use the mouse and the keyboard. In this paper we make a brief analysis of why is this evolution taking more than initially expected. We then move on to analyse several different projects that are innovative, in the sense that they encompass fields of application that go beyond the initially envisioned, and show the diverse areas that AmI systems may potentially come to change. © Springer International Publishing Switzerland 2014.

Abstract

Abstract
Providing quality public transportation can be extremely expensive when demand is low, variable and unpredictable. Demand Responsive Transportation (DRT) systems try to address these issues with routes and frequencies that may vary according to observed demand. The design and operation of DRTs involve multiple criteria and have a combinatorial nature that prevents the use of traditional optimization methods. We have developed an innovative Decision Support System (DSS) integrating simulation and optimization, to help design and operate DRT services, minimizing operating costs and maximizing the service quality. Experiments inspired in real problems have shown the potential of this DSS. © Springer International Publishing Switzerland 2014.

Abstract
As a combination of different methodologies or parts of methodologies, Multimethodology is becoming more frequent in OR practice. This paper contributes with a new proposal and a new field of application: the employment of Multimethodology in problem solving with Metaheuristics (Mh). A convenient selection of soft and hard methods will be considered, from Soft OR, Creativity and Metaheuristics, such as Strategic Choice Approach, SWOT Analysis and Divergent and Convergent thinking. Formulating the 'right' optimisation problem, choosing a method based on Mh and accomplishing an effective implementation is an imprecise decision-making process, which may require skills and ideas that are beyond the ordinary boundaries of Mh practice. The relevance and success of Mh have been well-known for decades, but some open questions concerning choice and implementation strategies, for instance, still remain. If these questions are not adequately answered, they may lose credibility in the long term. The quality of solutions and computational times are not the only criteria used to analyse Mh, nor are they the most important. Very often, the effectiveness of an approach has to be evaluated from the perspective of modelling and practical problem solving. This paper investigates the advantages of Multimethodology and, furthermore, it sketches a framework for a coherent and comprehensive comparison of Mh and recommends a dynamic guiding tool for their implementation.