Conversational agents can be defined as computer programs which can have an animated face and/or body, understand natural language and respond in natural language to a user request. Pedagogic Conversational Agents are a subset specifically designed for educational purposes. Some of the existing conversational agents provide predefined answers irrespectively of the student model. In this paper, ...

BACKGROUND Verbal perseveration (i.e. excessive self-repetition) is a characteristic of male individuals with fragile X syndrome; however, little is known about its occurrence among females or its underlying causes. This project examined the relationship between perseveration and (1) gender, (2) cognitive and linguistic ability, and (3) language sampling context, among youth with fragile X synd...

Since the manual construction of our knowledge-base has several crucial limitations when applied to intelligent systems, mental development has been investigated in recent years. Autonomous mental development is a new paradigm for developing autonomous machines, which are adaptive and flexible to the environment. Language development, a kind of mental development, is an important aspect of inte...

In this paper, a novel architecture of a universal dialogue system and its configuration language, so-called Conversational Agent Markup Language (CAML), is proposed. The dialogue system embodies a CLIPS engine in order to enable CAML to formulate procedural and heuristic knowledge. CAML supports frames, functions, and categories that enable it: (a) to process wildcards, to control the inner st...

In conventional language modeling, the words from only one speaker are represented at a time, even for conversational tasks such as meetings and telephone calls. In a conversational or meeting setting, however, different speakers can influence each other. In order to recover this missing inter-speaker information, in this work we present a novel approach for conversational language modeling tha...

Present agent and interaction (agent communication language: ACL) models have been conceived for pure artificial agent communities, most often strongly linked with knowledge exchange. But these models are not adapted to conversational interactions, and particularly to mixed community melting artificial and human agents. We first underline these model limitations. We propose a first step towards...