Search results for "Game Theory"

Robust Mean Field Games

2015

Recently there has been renewed interest in large-scale games in several research disciplines, with diverse application domains as in the smart grid, cloud computing, financial markets, biochemical reaction networks, transportation science, and molecular biology. Prior works have provided rich mathematical foundations and equilibrium concepts but relatively little in terms of robustness in the presence of uncertainties. In this paper, we study mean field games with uncertainty in both states and payoffs. We consider a population of players with individual states driven by a standard Brownian motion and a disturbance term. The contribution is threefold: First, we establish a mean field syste…

Is Andy Murray More British Than Scottish? It Depends on His Success! Game Outcome and the MOATing Effect

2020

Prior research indicates that when we shared a part of a social identity with others, we tend to include or exclude them from our in-group depending on their success and failure. In this research, we investigated the extent to which this strategy (i.e., MOATing, “moving others away/toward the in-group”) is used for self-enhancement as compared to self-protection. Our experiment included a stereotype measure that assessed whether others were perceived as more typical of the in-group or the out-group. The results generally replicate those of prior research and suggest that MOATing primarily serves a self-enhancement function. We discuss theoretical and methodological implications.

Robust linear quadratic mean-field games in crowd-seeking social networks.

2013

We consider a social network where opinions evolve following a stochastic averaging process under the influence of adversarial disturbances. We provide a robust mean-field game model in the spirit of H∞-optimal control, establish existence of a mean-field equilibrium, and analyze its stochastic stability.

Machine Learning: An Overview and Applications in Pharmacogenetics.

2021

This narrative review aims to provide an overview of the main Machine Learning (ML) techniques and their applications in pharmacogenetics (such as antidepressant, anti-cancer and warfarin drugs) over the past 10 years. ML deals with the study, the design and the development of algorithms that give computers capability to learn without being explicitly programmed. ML is a sub-field of artificial intelligence, and to date, it has demonstrated satisfactory performance on a wide range of tasks in biomedicine. According to the final goal, ML can be defined as Supervised (SML) or as Unsupervised (UML). SML techniques are applied when prediction is the focus of the research. On the other hand, UML…

Introduction to Expanding Universes : Exploring Games and Transmedial Ways of World-building

2018

Transmedia is a wide concept, as by definition, it is a network of various media forms. It includes also games, both digital and more traditional forms of games. Transmedia productions are often built around a certain television series, but in some cases a digital game has been the core production as well. Games, however, have not been looked at in detail in their role as a part of a transmedia whole. It is important to pay attention to the specificity of games as a media form, to their product-audience relation, and to the way how they incorporate playfulness into that relation. Even in cases where games are just a minor part of the production, the playfulness involved in transmedia user p…

The Impact of Obesity on the Outcome of Surgical Repair for Acute Type A Aortic Dissection

2019

Sympathetic nervous system synchrony: An exploratory study of its relationship with the therapeutic alliance and outcome in couple therapy.

2019

In previous research, we found that sympathetic nervous system synchrony, measured via electrodermal activity (EDA), occurs between participants at the start of couple therapy. The aim now was to test whether this synchrony changes during the therapy process, and how any changes may be related to clients' and therapists' evaluations of the working alliance, and the outcome of therapy. Twelve different couple therapy processes were analyzed (24 clients, plus 10 therapists, working in pairs; hence, 4 persons per session) using EDA concordance indices and questionnaires (Outcome Rating Scale, Session Rating Scale, and Clinical Outcomes in Routine Evaluation-Outcome Measure). EDA synchrony betw…

What Is Life?

2014

Despite the difficulty of defining a living being, biological sciences have considerably advanced. Today many authors feel the need to revisit the issue of the definition of life, among other reasons, because we are very close to have a second example of life. This life will not be the direct result of more than 3,500 million years of evolution, but the outcome of a project of synthetic biology in a laboratory. The fact that evolution has explored only a small part of the possible may pave the way towards alternative artificial lives. Focusing on the nature of life makes us more critical with the Cartesian comparisons between cells and machines. At the same time, progress in synthetic biolo…

ACTIVITIES TO PROMOTE THE SELF-LEARNING OF THE EFFECTIVE COMMUNICATION STUDENT OUTCOME

2018

[EN] Universities all over the world are implementing a competence-based type of teaching and learning to guarantee certain student learning outcomes at the end of the studies. To reach these student outcomes, active methodologies should be included in teaching practice at the same time that carefully designed rubrics might be used for the evaluation of the students. Despite the fact that teachers introduce more and more authentic tasks in the classroom, these activities are not still well employed by all the University teaching staff. The goal of this work is to propose a guideline of activities to promote the self-learning of the effective communication outcome by the students. For that p…

A model of adaptive decision-making from representation of information environment by quantum fields

2017

We present the mathematical model of decision making (DM) of agents acting in a complex and uncertain environment (combining huge variety of economical, financial, behavioral, and geo-political factors). To describe interaction of agents with it, we apply the formalism of quantum field theory (QTF). Quantum fields are of the purely informational nature. The QFT-model can be treated as a far relative of the expected utility theory, where the role of utility is played by adaptivity to an environment (bath). However, this sort of utility-adaptivity cannot be represented simply as a numerical function. The operator representation in Hilbert space is used and adaptivity is described as in quantu…