BDI agents for Real Time Strategy games

While the use of distributed intelligence has been incrementally spreading in the design of a great number of intelligent systems, the field of Artificial Intelligence in Real Time Strategy games has remained mostly a centralized environment. Despite turn-based games have attained AIs of world-class level, the fast paced nature of RTS games has proven to be a significant obstacle to the quality of its AIs. Chapter 1 introduces RTS games describing their characteristics, mechanics and elements. Chapter 2 introduces Multi-Agent Systems and the use of the Beliefs-Desires-Intentions abstraction, analysing the possibilities given by self-computing properties. In Chapter 3 the current state of AI development in RTS games is analyzed highlighting the struggles of the gaming industry to produce valuable. The focus on improving multiplayer experience has impacted gravely on the quality of the AIs thus leaving them with serious flaws that impair their ability to challenge and entertain players. Chapter 4 explores different aspects of AI development for RTS, evaluating the potential strengths and weaknesses of an agent-based approach and analysing which aspects can benefit the most against centralized AIs. Chapter 5 describes a generic agent-based framework for RTS games where every game entity becomes an agent, each of which having its own knowledge and set of goals. Different aspects of the game, like economy, exploration and warfare are also analysed, and some agent-based solutions are outlined. The possible exploitation of self-computing properties to efficiently organize the agents activity is then inspected. Chapter 6 presents the design and implementation of an AI for an existing Open Source game in beta development stage: 0 a.d., an historical RTS game on ancient warfare which features a modern graphical engine and evolved mechanics. The entities in the conceptual framework are implemented in a new agent-based platform seamlessly nested inside the existing game engine, called ABot, widely described in Chapters 7, 8 and 9. Chapter 10 and 11 include the design and realization of a new agent based language useful for defining behavioural modules for the agents in ABot, paving the way for a wider spectrum of contributors. Chapter 12 concludes the work analysing the outcome of tests meant to evaluate strategies, realism and pure performance, finally drawing conclusions and future works in Chapter 13.

"Who Fears Death" di Nnedi Okorafor, una proposta di traduzione

This dissertaton deals with the translation of selected chapters from Nnedi Okorafor’s novel Who Fears Death. The novel, set in a post-apocalyptic Africa ravaged by inter-ethnic violence, narrates the tale of Onyesonwu, an Ewu, a half-breed born of rape, facing the rejection of her community. Growing up Onyesonwu realizes that the color of her skin is not the only thing that sets her apart from the other inhabitants of Jwahir, as she starts to manifest magical powers, and during an unintentional visit to the spirit realms she finds out that her biological father, a very powerful sorcerer, wants to kill her. At this point the only option left to her is to learn the secret arts of magic under the guidance of Aro, the sorcerer, and then embark on a journey to put and end to the menace posed by her biological father, stop the massacres between the Okeke and Nuru people, and rewrite history. This work is structured in five chapters. The first presents a brief retelling of the author’s life and works. The second chapter constitutes the theoretical frame according to which the novel will be described, and illustrates an analysis on the function of sci-fi literature. The third chapter introduces the novel itself, dealing with its setting and cultural peculiarities, the literary genre to which it belongs, and analysing the themes deemed most relevant, among which the racial and gender issues. The fourth chapter consists of the translation of some chapters from the novel Who Fears Death, and the fifth of a comment on the translation, presenting both a textual analysis, and notes on the choices deemed most interesting or challenging in a translation process perspective.