Ontology-based argument acquisition for argumentative agent

In the open argumentative multi-agent systems, structured arguments and counter-arguments are acquired and exchanged by agents dynamically to build dialogs. Argument acquisition by deductive reasoning explores the value of knowledge for agents to build dialogs autonomously. Desired arguments shall contain all the deductive information and be able to express classical negation. However, previous argument acquisitions by deductive reasoning either require manual work or cannot generate the desired arguments dynamically and automatically. A method of argument acquisition based on domain ontology and Argument Ontology is proposed. First, a minimum set of axioms is obtained from the domain ontology expressed by OWL and SWRL. Then, it is translated to a Prolog knowledge base for building structured arguments. The Argument Ontology is used for storage and retrieval of the constructed arguments. Experiments show that structured arguments and counter-arguments are acquired and exchanged by agents to build dialogs autonomously in decision making.