Current interactive multimedia learning software can not be accessed by learners with disabilities. This is the case for students with vision disabilities. Modeling techniques are necessary to map real world experiences to virtual worlds by using 3D auditory representations of…

A fuzzy controller is usually designed by formulating the knowledge of a human expert into a set of linguistic variables and fuzzy rules. As it is well known, the use of prior knowledge can dramatically improve the performance and quality…

The Semantic Web purports to give computeraccessible meaning to the content of the World Wide Web. The rationale behind this project is to create an environment where all this information could be freely exchanged among diverse entities, yet retaining its…

This paper discusses questions about communication of probabilistic knowledge in the light of current theories of agent communication. It will argue that there is a semantic gap between these theories and research areas related to probabilistic knowledge representation and communication,…

A multiagent system (MAS) is made up of multiple interacting autonomous agents. It can be viewed as a society in which each agent performs its activity, cooperating to achieve common goals, or competing for them. Thus, every agent has the…

It is interesting and important to compare, analyze and assess the alternative tools that could be used in the area of Knowledge Representation. In this paper we present a reasearch line associated to this goal: to formally establish the relation…

Defeasible argumentation is one of the approaches that attempt to address the challenges arising when we reason defeasibly, with several formalisms in the literature reaching a mature state. Nowadays, several of them started shifting their semantics towards a dialectical characterization.…

The accomplishment of systems with abilities to reason about actions and change and systems that can manage incomplete or not very reliable information with abilities to discuss or argument has been of great importance for artificial intelligence community. These two…

The area of Knowledge Representation and Reasoning has been enriched during the past two decades with the addition of Argument-Based Reasoning Systems. Defeat between arguments is established by a combination of two basic elements: a conflict or defeat relation, and…

Artificial Intelligence deals with the challenge of modeling commonsense reasoning. In the last fifteen years argument-based systems have came forward to meet this challenge as knowledge representation and reasoning tools able to model incomplete and conflicting information. We believe that…