Abolfazl Keighobadi Lamjiri

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— The prediction of the future states in Multi-Agent Systems has been a challenging problem since the begining of MAS. Robotic soccer is a MAS environment in which the predictions of the opponents strategy, or opponent modeling, plays an important role. In this paper, a novel case-based architecture is applied in the soccer coach that learns and predicts(More)
One of the main challenges in RoboCup is to maintain a high level of speed and accuracy in decision making and performing actions by the robot players. Although we might be able to use complicated hardware and software on the robots to achieve the desired accuracy, but such systems might not be applicable in real-time RoboCup environment due to their high(More)
In this paper, we describe the system we used for the TREC Question Answering Track. For factoid and list questions two different approaches were exploited: A redundancy-based approach using a modified version of aranea and a parse-tree based unifier. The modified version of aranea essentially uses Google snippets for extracting answers and then projects(More)
In this paper we analyze the contribution of semantic, syntactic and word similarity of document features in closed and open domain question answering. Semantic similarity is computed as the similarity of the action in the candidate sentence to the action asked in the question, measured using WordNet::Similarity on main verbs. The syntactic similarity(More)
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