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The goal of the Angry Birds AI competition is to build an intelligent agent which can complete the levels of the game better than human players. This task is very challenging, because humans have a good prediction about the physic world, while for computers it is hard to reason about an unknown environment. In this paper we describe our DualHEX AI agent, which is based on the AngryHEX agent of participants of the Angry Birds competition 2013. Our agent models the knowledge of the game by means of Answer Set Programming. In this project we improved the AngryHEX approach by extending the knowledge base of the domain. Our DualHEX agent plans a shot taking into consideration the current and the next bird. It compares the damage probability of both birds to discard targets that suits more the next bird features.

Mohammad Shariful Alam Chowdhury Sujan's CV

Este artigo trata de um resumo das características principais da linguagem Ruby, desde a sua arquitetura até a sua sintaxe. Abordando principalmente temas relativos ao contexto de Linguagens de Programação é possível avaliar uma linguagem de forma correta. Este artigo tenta fazer isto de uma forma neutra, avaliando cada ponto da linguagem Ruby. Keywords: Linguagem Ruby, Ruby, Linguagens de Scripts

Example for a recipe taken from the xcookybooky package

A textbook on simulation

Jenna R. Burnet's Résumé

ERCESI Weekly Report template.

A white paper describing how to carry out a data protection impact assessment according to GDPR.

Proposta Projeto Integrador