Game-­theoretic Resource Allocation with Real-­time Probabilistic Surveillance Information

Game-theoretic security resource allocation problems have generated significant interest in the area of designing and developing security systems. These approaches traditionally utilize the Stackelberg game model for security resource scheduling in order to improve the protection of critical assets. The basic assumption in Stackelberg games is that a defender will act first, then an attacker will choose their best response after observing the defender’s strategy commitment (e.g., protecting a specific asset). Thus, it requires an attacker’s full or partial observation of a defender’s strategy. This assumption is unrealistic in real-time threat recognition and prevention. In this paper, we propose a new solution concept (i.e., a method to predict how a game will be played) for deriving the defender’s optimal strategy based on the principle of acceptable costs of minimax regret. Moreover, we demonstrate the advantages of this solution concept by analyzing its properties.

For the Good of the Game(?): The Legacy of the Football Trust, the Football Pools & the Dangerous Seduction of Political Promise

During the late twentieth century, the United Kingdom’s football infrastructure and spectatorship underwent transformation as successive stadia disasters heightened political and public scrutiny of the game and prompted industry change. Central to this process was the government’s formation of an independent charitable organization to oversee subsequent policy implementation and grant-aid provision to clubs for safety, crowd, and spectator requirements. This entity, which began in 1975 focusing on ground improvement, developed into the Football Trust. The Trust was funded directly by the football pools companies who ran popular low-stakes football betting enterprises. Working in association with the Pools Promoters Association (PPA), and demonstrating their social responsibility towards the game’s constituents, the pools resourced a wide array of Trust activities. Yet irrespective of government mandate, the PPA and Trust were continually confronted by political and economic obstacles that threatened the effectiveness of their arrangements. In this paper the history of the Football Trust is investigated, along with its partnership with the PPA, and its relationship with the government within the context of broader political shifts, stadia catastrophes, official inquiries, and commercial threats. It is contended that while the Trust/PPA partnership had a respectable legacy, their history afforded little protection against adverse contemporary conditions.

Teaching sexual abuse prevention skills to two children with intellectual disabilities through game play

The current study examined the effectiveness of a sexual abuse prevention program developed locally for children with intellectual disabilities. The program package included a board game with informational storybooks that were designed to be used in a family setting. Additionally, this research sought to determine if parents could be effective at presenting the sexual abuse pr~vention materials to their children. A multiple baseline across behaviours design was used with two participants with a diagnosis of autism. Through role play scenarios as well as verbal knowledge tests, it was determined that the program was effective at teaching the participants the skills presented for self protection. It was also determined that the skills learned were generalized to scenarios that were untrained during the game play. Finally, with additional supports, it was determined that parents were able to effectively teach their children the required skills.

Intellectual Property Protection For Plant Derived Vaccine Technology: Here They Come Are We Ready or Not ?

Il existe une nouvelle catégorie de technologie, les vaccins dérivés de plantes («VDPs»), qui englobe des produits qui ont un grand potentiel pour l’amélioration de la santé à l’échelle globale. Bien qu’ils ne soient pas encore disponibles pour le public, le développement des VDPs a progressé de façon telle qu’ils devraient être prêts à être mis en marché et distribués sous peu. Ainsi, c’est le moment idéal pour lancer un débat sur la meilleure façon de protéger cette nouvelle catégorie de technologie. Vu leur nature, les VDPs ne se qualifient pas parfaitement pour aucune forme de protection de propriété intellectuelle. En effet, un VDP est à la fois une variété de plante, une biotechnologie, un médicament et un produit qui vise spécifiquement les besoins de pays en voie de développement. Chacune de ces caractéristiques soulève ses propres problématiques en ce qui a trait à la propriété intellectuelle. C’est pourquoi il appert difficile d’identifier la forme de protection la plus adéquate et appropriée pour les VDPs. Cet article traite de la nature d’un VDP, des différentes catégories dans lesquelles il pourrait être classé, des différents types de systèmes de protection de propriété intellectuelle auxquels il pourrait être éligible ainsi que des problèmes qui pourraient être soulevés par tous ces éléments. Ces discussions visent à mettre l’accent sur le fait que nous avons affaire à une toute nouvelle catégorie d’innovation technologique. L’auteure est donc d’avis qu’une approche proactive est nécessaire pour discuter d’un système de protection de propriété intellectuelle en relation avec les VDPs. En ce moment, c’est l’inventeur qui choisi comment il protègera son invention. Les moyens employés par ce dernier pourraient être subséquemment modifiés ou annulés par une décision judiciaire mais comme plusieurs autres inventeurs d’une même catégorie de technologie auront probablement déjà adopté une stratégie de protection similaire, ce type de mesures judiciaire, très tard dans le processus, pourra avoir des résultats néfastes sur les détenteurs de droits. Le développement de lignes directrices d’entrée de jeu, avec l’aide d’un panel d’experts de préférence, peut contribuer à éviter les situations de confusion qui ont déjà été vécues avec l’application d’autres nouvelles technologies et qui devraient servir de leçon pour l’encadrement des VDPs.

Group 15 (Snav) - The Data Protection Act 1998

An online tutorial outlining the definitions and principles of the Data Protection Act. Contains questions on scenarios which allow the user to test their knowledge, as well as a downloadable space-shooter game which gets the user to answer Data Protection Act questions.

Willingness-to-pay for a probabilistic flood forecast: a risk-based decision-making game

Probabilistic hydro-meteorological forecasts have over the last decades been used more frequently to communicate forecastuncertainty. This uncertainty is twofold, as it constitutes both an added value and a challenge for the forecaster and the user of the forecasts. Many authors have demonstrated the added (economic) value of probabilistic over deterministic forecasts across the water sector (e.g. flood protection, hydroelectric power management and navigation). However, the richness of the information is also a source of challenges for operational uses, due partially to the difficulty to transform the probability of occurrence of an event into a binary decision. This paper presents the results of a risk-based decision-making game on the topic of flood protection mitigation, called “How much are you prepared to pay for a forecast?”. The game was played at several workshops in 2015, which were attended by operational forecasters and academics working in the field of hydrometeorology. The aim of this game was to better understand the role of probabilistic forecasts in decision-making processes and their perceived value by decision-makers. Based on the participants’ willingness-to-pay for a forecast, the results of the game show that the value (or the usefulness) of a forecast depends on several factors, including the way users perceive the quality of their forecasts and link it to the perception of their own performances as decision-makers.

The political economy of protection after the Uruguay Round

Includes bibliography

Cooperative Multi-robot Patrolling: A study of distributed approaches based on mathematical models of game theory to protect infrastructures

El principio de Teoría de Juegos permite desarrollar modelos estocásticos de patrullaje multi-robot para proteger infraestructuras criticas. La protección de infraestructuras criticas representa un gran reto para los países al rededor del mundo, principalmente después de los ataques terroristas llevados a cabo la década pasada. En este documento el termino infraestructura hace referencia a aeropuertos, plantas nucleares u otros instalaciones. El problema de patrullaje se define como la actividad de patrullar un entorno determinado para monitorear cualquier actividad o sensar algunas variables ambientales. En esta actividad, un grupo de robots debe visitar un conjunto de puntos de interés definidos en un entorno en intervalos de tiempo irregulares con propósitos de seguridad. Los modelos de partullaje multi-robot son utilizados para resolver este problema. Hasta el momento existen trabajos que resuelven este problema utilizando diversos principios matemáticos. Los modelos de patrullaje multi-robot desarrollados en esos trabajos representan un gran avance en este campo de investigación. Sin embargo, los modelos con los mejores resultados no son viables para aplicaciones de seguridad debido a su naturaleza centralizada y determinista. Esta tesis presenta cinco modelos de patrullaje multi-robot distribuidos e impredecibles basados en modelos matemáticos de aprendizaje de Teoría de Juegos. El objetivo del desarrollo de estos modelos está en resolver los inconvenientes presentes en trabajos preliminares. Con esta finalidad, el problema de patrullaje multi-robot se formuló utilizando conceptos de Teoría de Grafos, en la cual se definieron varios juegos en cada vértice de un grafo. Los modelos de patrullaje multi-robot desarrollados en este trabajo de investigación se han validado y comparado con los mejores modelos disponibles en la literatura. Para llevar a cabo tanto la validación como la comparación se ha utilizado un simulador de patrullaje y un grupo de robots reales. Los resultados experimentales muestran que los modelos de patrullaje desarrollados en este trabajo de investigación trabajan mejor que modelos de trabajos previos en el 80% de 150 casos de estudio. Además de esto, estos modelos cuentan con varias características importantes tales como distribución, robustez, escalabilidad y dinamismo. Los avances logrados con este trabajo de investigación dan evidencia del potencial de Teoría de Juegos para desarrollar modelos de patrullaje útiles para proteger infraestructuras. ABSTRACT Game theory principle allows to developing stochastic multi-robot patrolling models to protect critical infrastructures. Critical infrastructures protection is a great concern for countries around the world, mainly due to terrorist attacks in the last decade. In this document, the term infrastructures includes airports, nuclear power plants, and many other facilities. The patrolling problem is defined as the activity of traversing a given environment to monitoring any activity or sensing some environmental variables If this activity were performed by a fleet of robots, they would have to visit some places of interest of an environment at irregular intervals of time for security purposes. This problem is solved using multi-robot patrolling models. To date, literature works have been solved this problem applying various mathematical principles.The multi-robot patrolling models developed in those works represent great advances in this field. However, the models that obtain the best results are unfeasible for security applications due to their centralized and predictable nature. This thesis presents five distributed and unpredictable multi-robot patrolling models based on mathematical learning models derived from Game Theory. These multi-robot patrolling models aim at overcoming the disadvantages of previous work. To this end, the multi-robot patrolling problem was formulated using concepts of Graph Theory to represent the environment. Several normal-form games were defined at each vertex of a graph in this formulation. The multi-robot patrolling models developed in this research work have been validated and compared with best ranked multi-robot patrolling models in the literature. Both validation and comparison were preformed by using both a patrolling simulator and real robots. Experimental results show that the multirobot patrolling models developed in this research work improve previous ones in as many as 80% of 150 cases of study. Moreover, these multi-robot patrolling models rely on several features to highlight in security applications such as distribution, robustness, scalability, and dynamism. The achievements obtained in this research work validate the potential of Game Theory to develop patrolling models to protect infrastructures.

Legal shifts : shaping expectations of intellectual property protection in an open innovation industrial environment

Projet de recherche réalisé en 2014-2015 avec l'appui du Fonds de recherche du Québec – Société et culture.

Legal shifts : shaping expectations of intellectual property protection in an open innovation industrial environment

Projet de recherche réalisé en 2014-2015 avec l'appui du Fonds de recherche du Québec – Société et culture.

Games and fish laws ... and federal regulations for protection of migratory birds.

Description based on: 1915-1916. ; title from cover.

Game laws of Oregon.

"Governing appointment and duties of the State Game Commission and the protection and propagation of game birds, game fish and game animals."

National conference on conservation of game, fur-bearing animals and other wild life.

"Appendix II. The Northwest game act" : p. [165]-169.

Migratory waterfowl shortage. Hearings before the Special committee on conservation of wild life resources, United States Senate, on the protection and preservation of migratory waterfowl in the United States. April 4, 5, and 6, 1932. Printed for the use of the Special committee on conservation of wild life resources.

Mode of access: Internet.

Using an experiential business game to stimulate sustainable thinking in marketing education

Recent years have seen a significant increase in the importance of environmental protection and sustainability to consumers, policy makers, and society in general. Reflecting this, most organizations are at least aware of this new agenda and wish to be seen as taking steps to improve behaviors in this regard. However, there appears to be a gap between this evolving agenda and the comparatively low level of knowledge that marketing managers actually have of the environmental impact of their own functional decisions. We suggest that this low knowledge level may be due, in part, to the marketplace focus of foundational marketing educational programs, and we attempt to show how broadening the horizons of marketing courses can help students (i.e., future managers) more deeply understand the environmental consequences of their actions. We demonstrate the use of a novel business game, based on the Life Cycle Assessment method, as the foundational cornerstone for the development of a broad understanding of the environmental impact of marketing decisions and actions for the entire life cycle of a product—from raw material extraction to ultimate disposal. The results of an empirical study show that this approach increases students’ appreciation for, and understanding of, these fundamental environmental sustainability concepts.