Modeling Human Decision Making with Defeasible Logic Programming

Decision making is an active research topic in several disciplines and it can be studied in as many ways as different research areas face the problems in this field of study. In Computer Science, decision-making problems have been mainly tackled from the research field of Artificial Intelligence; and Argumentation has contributed with its unique strengths. In this work, following a pychological perspective we show the adequacy of Defeasible Logic Programming to model the Dictator Game by emulating the answers contained in a survey we conducted. The Dictator Game is a well-known problem belonging to the field of experimental economic studies related to human decision making. Moreover, the obtained model is simpler than other leading approaches in the area.Workshop: WASI – Agentes y Sistemas InteligentesRed de Universidades con Carreras en Informátic

An approach to enhance argument-based multi-criteria decision systems with conditional preferences and explainable answers

In our current society, it is very common to have access to a huge amount of information and scenarios in which it is possible to choose among a great number of alternatives. Therefore, systems that automate or assist with the decision-making process are becoming crucial. Those systems should allow users to represent their preferences accurately, even in scenarios where the user has many forms of comparing the available alternatives. In this paper, we propose an argument-based framework for multi-criteria decision-making based on conditional rules, that allows users to encode their preferences among the comparison criteria in terms of requirement and tolerance values. From these rules, arguments that are involved in the comparison process are generated. In order to comply with users’ demands for explanations of the given answers, our proposed framework can provide qualitative explanations about the argumentation process, and also an explanatory graph that shows how all the alternatives were ranked and the connections with the user's rules that were used. We also show the results of an empirical analysis of the performance of a developed prototype.Fil: Buron Brarda, Martín Ezequiel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Ciencias e Ingeniería de la Computación. Universidad Nacional del Sur. Departamento de Ciencias e Ingeniería de la Computación. Instituto de Ciencias e Ingeniería de la Computación; ArgentinaFil: Tamargo, Luciano Héctor. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Ciencias e Ingeniería de la Computación. Universidad Nacional del Sur. Departamento de Ciencias e Ingeniería de la Computación. Instituto de Ciencias e Ingeniería de la Computación; ArgentinaFil: García, Alejandro Jorge. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Ciencias e Ingeniería de la Computación. Universidad Nacional del Sur. Departamento de Ciencias e Ingeniería de la Computación. Instituto de Ciencias e Ingeniería de la Computación; Argentin