Chat Agents Tutoring System

In this paper we present a Multi Agent tutoring dialogue system. The Chat Agent Tutoring System is an attempt to produce incremental gains in learning using a community of chat agents, which have specific competences and are able to carry out natural language conversation. The system has been developed by integrating two emerging technologies: Java Agent Development Environment (JADE) and ALICE technology.

Towards a deep-learning-based methodology for supporting satire detection

This paper describes an approach for supporting automatic satire detection through effective deep learning (DL) architecture that has been shown to be useful for addressing sarcasm/irony detection problems. We both trained and tested the system exploiting articles derived from two important satiric blogs, Lercio and IlFattoQuotidiano, and significant Italian newspapers.

Concepts, proto-concepts, and shades of reasoning in neural networks

One of the most important functions of concepts is that of producing classifications; and since there are at least two different types of such things, we better give a preliminary short description of them both. The first kind of classification is based on the existence of a property common to all the things that fall under a concept. The second, instead, relies on similarities between the objects belonging to a certain class A and certain elements of a subclass AS of A, the so-called ‘stereotypes.’ In what follows, we are going to call ‘proto-concepts’ all those concepts whose power of classification depends on stereotypes, leaving the term ‘concepts’ for all the others. The main aim of th…

Jade and Aiml: A Multi-Agents Tutoring System