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Excodra XXXVI: La tecnología

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HECTOR GEFFNER<br />

Hector was born in Buenos Aires in 1959, did his BS in Caracas, Venezuela, and got<br />

his PhD in Computer Science at UCLA with a dissertation that was co­winner of the<br />

1990 ACM Dissertation Award. He is currently a fellow of the American and<br />

European Associations for Artificial Intelligence (AAAI, ECCAI), and Associate<br />

Editor of the Journal of Artificial Intelligence Research (JAIR) and the Artificial<br />

Intelligence Journal (AIJ). He taught at the Universidad Simón Bolívar in Caracas,<br />

Aachen University of Technology, Linkoping University, Université Paul Sabatier,<br />

and King's College, among other places. He joined ICREA and the UPF in 2001,<br />

where he is a Professor in the Department of Information and Communication<br />

Technologies (DTIC). Research interests: Hector works on planning and plan<br />

recognition in intelligent systems, developing methods for generating and<br />

recognizing autonomous behavior automatically using model­based methods. In<br />

these methods, agents are not programmed by hand but derive their behavior<br />

automatically by solving a model of the interaction between the agent and the<br />

environment. The challenge is mainly computational as the formulation of methods<br />

for deriving the right behavior effectively when the models are large is<br />

computationally intractable in the worst case. The work involves theory based on<br />

logic, probabilities, heuristics, and algorithms, and computational experiments. The<br />

research is relevant to both artificial intelligence and cognitive science, as it aims to<br />

uncover general principles of rational behavior that take into account the<br />

computational constraints that are present in both natural and artificial systems.<br />

<strong>Excodra</strong> <strong>XXXVI</strong> 168 <strong>La</strong> <strong>tecnología</strong>

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