A framework for real time MMO game content generation

Com o aumento de plataformas móveis disponíveis no mercado e com o constante incremento na sua capacidade computacional, a possibilidade de executar aplicações e em especial jogos com elevados requisitos de desempenho aumentou consideravelmente. O mercado dos videojogos tem assim um cada vez maior número de potenciais clientes. Em especial, o mercado de jogos massive multiplayer online (MMO) tem-se tornado muito atractivo para as empresas de desenvolvimento de jogos. Estes jogos suportam uma elevada quantidade de jogadores em simultâneo que podem estar a executar o jogo em diferentes plataformas e distribuídos por um "mundo" de jogo extenso. Para incentivar a exploração desse "mundo", distribuem-se de forma inteligente pontos de interesse que podem ser explorados pelo jogador. Esta abordagem leva a um esforço substancial no planeamento e construção desses mundos, gastando tempo e recursos durante a fase de desenvolvimento. Isto representa um problema para as empresas de desenvolvimento de jogos, e em alguns casos, e impraticável suportar tais custos para equipas indie. Nesta tese e apresentada uma abordagem para a criação de mundos para jogos MMO. Estudam-se vários jogos MMO que são casos de sucesso de modo a identificar propriedades comuns nos seus mundos. O objectivo e criar uma framework flexível capaz de gerar mundos com estruturas que respeitam conjuntos de regras definidas por game designers. Para que seja possível usar a abordagem aqui apresentada em v arias aplicações diferentes, foram desenvolvidos dois módulos principais. O primeiro, chamado rule-based-map-generator, contem a lógica e operações necessárias para a criação de mundos. O segundo, chamado blocker, e um wrapper à volta do módulo rule-based-map-generator que gere as comunicações entre servidor e clientes. De uma forma resumida, o objectivo geral e disponibilizar uma framework para facilitar a geração de mundos para jogos MMO, o que normalmente e um processo bastante demorado e aumenta significativamente o custo de produção, através de uma abordagem semi-automática combinando os benefícios de procedural content generation (PCG) com conteúdo gráfico gerado manualmente.

A Theory of Representative Behavior in the Dictator Game

In this paper we present a model of representative behavior in the dictator game. Individuals have simultaneous and non-contradictory preferences over monetary payoffs, altruistic actions and equity concerns. We require that these behaviors must be aggregated and founded in principles of representativeness and empathy. The model results match closely the observed mean split and replicate other empirical regularities (for instance, higher stakes reduce the willingness to give). In addition, we connect representative behavior with an allocation rule built on psychological and behavioral arguments. An approach consistently neglected in this literature. Key words: Dictator Game, Behavioral Allocation Rules, Altruism, Equity Concerns, Empathy, Self-interest JEL classification: C91, D03, D63, D74.

A situated analysis of football goalkeepers' experiences in critical game situations.

This study described elite football (soccer) goalkeepers' activity and performance in critical game situations. The 11 best French players (M age = 15.5 yr., SD = 0.5) participated in the study. Interviews focused on goalkeepers' experiences were conducted to identify meaningful events involved in failed actions. Players formulated 23 critical game situations. Verbatim encoding using a thematic analysis indicated that four main categories (coming off the line, goal-line clearance, one-on-one, and diving) represented the most critical situations encountered during matches. The relations among experience and action, inner states, background, attention contents, and intentions were elucidated. The discussion is grounded on the properties of such critical game situations and their implications for improving goalkeepers' performance.

A further note on the college admission game

When a stable matching rule is used for a college admission market, questions on incentives facing agents of both sides of the market naturally emerge. This note states and proves four important results which fill a gap in the theory of incentives for the college admission model. Two of them have never been demonstrated but have been used along the years and are responsible for the success that this theory has had in explaining empirical economic phenomena.

The TViews Table Role-Playing Game

The TViews Table Role-Playing Game (TTRPG) is a digital tabletop role-playing game that runs on the TViews table, bridging the separate worlds of traditional role-playing games with the growing area of massively multiplayer online role-playing games. The TViews table is an interactive tabletop media platform that can track the location of multiple tagged objects in real-time as they are moved around its surface, providing a simultaneous and coincident graphical display. In this paper we present the implementation of the first version of TTRPG, with a content set based on the traditional Dungeons & Dragons rule-set. We also discuss the results of a user study that used TTRPG to explore the possible social context of digital tabletop role-playing games.

Development of a magnetic resonance compatible wrist device for the analysis of movement encoding in the brain

Tese de mestrado integrado em Engenharia Biomédica e Biofísica, apresentada à Universidade de Lisboa, através da Faculdade de Ciências, 2016

The Great Game around Turkmenistan. OSW Point of View, August 2008

The rise of a new leader of the state of Turkmenistan – President Gurbanguly Berdymukhammedov, who became ruler of the central Asian state after the 21-year rule of Saparmurad Niyazov, the self-proclaimed Turkmenbashi, who died on December 21, 2006 – has initiated changes in Turkmenistan’s political life. The new president has broken with the previous policy of self-isolation, and has directed the country towards openness to the outside world. Opportunities have thereby arisen for competitors in the ‘Great Game’, to gain political influence in Turkmenistan and access to hitherto unexploited Turkmen deposits of gas and oil. A new stage in the Great Game, which has been played for influence in Central Asia and control of access to its energy resources for many years, can thus be said to have been launched, and Turkmenistan has become the main setting for it. The major actors involved are Russia, the United States, China and the European Union.

A game played according to Lukashenka’s rules: the political opposition in Belarus. OSW COMMENTARY NUMBER 176, 08.07.2015

The Belarusian opposition is currently experiencing its deepest crisis since Alyaksandr Lukashenka took power in 1994. Following many months of negotiations, opposition leaders failed to select a joint candidate for the presidential election scheduled for 11th October. The failure of this latest round of talks has proven that not only is the opposition unlikely to threaten Lukashenka’s rule; it will not even be able to demonstrate to society that it could provide a genuine alternative to the present government.

Democratic governance and the rule of law : lessons from Colombia /

"Colombia has experienced conflict for decades. In the 1990s it was a paradigm of the failing state, beset with all manner of troubles: terrorism, kidnapping, murder, drug trafficking, corruption, an economic downturn of major scope, general lawlessness, and brain drain. Today the country is much safer, and the agents of violence are clearly on the defensive. Nonetheless, much work lies ahead to secure the democratic system. Security and the rule of law are fundamental to the task. As the monopoly over the legitimate use of force is established, democratic governance also needs the architecture of law: ministry of justice, courts, legislative scrutiny, law enforcement agencies, regulatory bodies, public defenders, police, correctional system, legal statutes, contracts, university level academic education to train lawyers, judges, and investigators, along with engagement with civil society to promote a culture of lawfulness. Security without the rule of law puts a society at risk of falling into a Hobbesian hell."--P. v.

Learning to play Pac-Man: An evolutionary, rule-based approach

Pac-Man is a well-known, real-time computer game that provides an interesting platform for research. We describe an initial approach to developing an artificial agent that replaces the human to play a simplified version of Pac-Man. The agent is specified as a simple finite state machine and ruleset. with parameters that control the probability of movement by the agent given the constraints of the maze at some instant of time. In contrast to previous approaches, the agent represents a dynamic strategy for playing Pac-Man, rather than a pre-programmed maze-solving method. The agent adaptively "learns" through the application of population-based incremental learning (PBIL) to adjust the agents' parameters. Experimental results are presented that give insight into some of the complexities of the game, as well as highlighting the limitations and difficulties of the representation of the agent.

Mach bands and multiscale models of spatial vision:the role of first, second, and third derivative operators in encoding bars and edges

Ernst Mach observed that light or dark bands could be seen at abrupt changes of luminance gradient in the absence of peaks or troughs in luminance. Many models of feature detection share the idea that bars, lines, and Mach bands are found at peaks and troughs in the output of even-symmetric spatial filters. Our experiments assessed the appearance of Mach bands (position and width) and the probability of seeing them on a novel set of generalized Gaussian edges. Mach band probability was mainly determined by the shape of the luminance profile and increased with the sharpness of its corners, controlled by a single parameter (n). Doubling or halving the size of the images had no significant effect. Variations in contrast (20%-80%) and duration (50-300 ms) had relatively minor effects. These results rule out the idea that Mach bands depend simply on the amplitude of the second derivative, but a multiscale model, based on Gaussian-smoothed first- and second-derivative filtering, can account accurately for the probability and perceived spatial layout of the bands. A key idea is that Mach band visibility depends on the ratio of second- to first-derivative responses at peaks in the second-derivative scale-space map. This ratio is approximately scale-invariant and increases with the sharpness of the corners of the luminance ramp, as observed. The edges of Mach bands pose a surprisingly difficult challenge for models of edge detection, but a nonlinear third-derivative operation is shown to predict the locations of Mach band edges strikingly well. Mach bands thus shed new light on the role of multiscale filtering systems in feature coding. © 2012 ARVO.

A Two-stage Bertrand-Edgeworth Game

In our investigation we are expanding a Bertrand-Edgeworth duopoly into a two-stage game in which during the first stage the firms can select their rationing rule. We will show that under certain conditions the efficient rationing rule is an equilibrium action of the first stage.

Setting the Rules of the Game: Mega-Regionals and the Role of the WTO

Faced with a WTO in a state of paralysis, large developed trading nations have shifted their attentions to other fora to pursue their trade policy objectives. In particular, preferential trade agreements (PTAs) are now being used to promote the regulatory disciplines that were previously rejected by developing countries at the multilateral level. These so-called ‘deep’ or ‘21st century’ PTAs address a variety of issues, from technical norms, procurement, investment protection and intellectual property rights to social and environmental protection. Moreover, recently, developed countries have sought to negotiate PTAs which are large in scale, both in terms of economic size and geographical reach, including the so-called ‘mega-regional’ PTAs, such as the EU-US Transatlantic Trade and Investment Partnership, the EU-Japan PTA, the Transpacific Partnership, and the China-backed Regional Comprehensive Economic Partnership. These mega-regional PTAs are distinctive not just in terms of their sheer size and the breadth and depth of issues addressed, but also because some of their proponents readily admit that one of the central aims pursued by such agreements is to design global rules on new trade issues. In other words, these agreements are being conceived as alternatives to multilateral rule making at the WTO level. The proliferation of 21st century trade deals raises important questions concerning the continued relevance of the WTO as a global rule-making venue, and the impact that the regulatory disciplines promoted in such agreements will have on both developing and developed countries. This paper discusses the emerging features of an international trading system that is increasingly populated by large-scale PTAs and discusses some of the points of tension that arise from such practice. Firstly, it examines instances of horizontal tension resulting from the proliferation of PTAs, particularly the extent to which such PTAs represent a threat or multilateral trade governance. Secondly, it looks at an example of vertical tension by examining the manner in which the imposition of regulatory disciplines through trade agreements can undermine the ability of countries, especially developing countries, to pursue legitimate public interest objectives. Finally, the paper considers a number of steps that could be considered to address some of the adverse effects associated with the fragmentation of the international trading system, including the option of embracing variable geometry within the WTO framework and the need to develop mechanisms that provide flexibility for developing countries in the implementation of regulatory disciplines.

Association Of Single Nucleotide Polymorphisms In The Gene Encoding Glut1 And Diabetic Nephropathy In Brazilian Patients With Type 1 Diabetes Mellitus.

Mesangial cells subject to high extracellular glucose concentrations, as occur in hyperglycaemic states, are unable to down regulate glucose influx, resulting in intracellular activation of deleterious biochemical pathways. A high expression of GLUT1 participates in the development of diabetic glomerulopathy. Variants in the gene encoding GLUT1 (SLC2A1) have been associated to this diabetic complication. The aim of this study was to test whether polymorphisms in SLC2A1 confer susceptibility to diabetic nephropathy (DN) in Brazilian type 1 diabetes patients. Four polymorphisms (rs3820589, rs1385129, rs841847 and rs841848) were genotyped in a Brazilian cohort comprised of 452 patients. A prospective analysis was performed in 155 patients. Mean duration of follow-up was 5.6±2.4years and the incidence of renal events was 18.0%. The rs3820589 presented an inverse association with the prevalence of incipient DN (OR: 0.36, 95% CI: 0.16 - 0.80, p=0.01) and with progression to renal events (HR: 0.20; 95% CI: 0.03 - 0.70; p=0.009). AGGT and AGAC haplotypes were associated with the prevalence of incipient DN and the AGAC haplotype was also associated with the prevalence of established/advanced DN. In conclusion, rs3820589 in the SLC2A1 gene modulates the risk to DN in Brazilian patients with inadequate type 1 diabetes control.

Phylogenetic And Phylogeographic Mapping Of The Avian Coronavirus Spike Protein-encoding Gene In Wild And Synanthropic Birds.

The evolution and population dynamics of avian coronaviruses (AvCoVs) remain underexplored. In the present study, in-depth phylogenetic and Bayesian phylogeographic studies were conducted to investigate the evolutionary dynamics of AvCoVs detected in wild and synanthropic birds. A total of 500 samples, including tracheal and cloacal swabs collected from 312 wild birds belonging to 42 species, were analysed using molecular assays. A total of 65 samples (13%) from 22 bird species were positive for AvCoV. Molecular evolution analyses revealed that the sequences from samples collected in Brazil did not cluster with any of the AvCoV S1 gene sequences deposited in the GenBank database. Bayesian framework analysis estimated an AvCoV strain from Sweden (1999) as the most recent common ancestor of the AvCoVs detected in this study. Furthermore, the analysis inferred an increase in the AvCoV dynamic demographic population in different wild and synanthropic bird species, suggesting that birds may be potential new hosts responsible for spreading this virus.