Intelligent Guidance and Suggestions Using Case-Based Planning

This paper presents a multiagent system that provides guidance on leisure facilities and suggestions for shopping in malls. This paper presents a deliberative agent which incorporates a case based planner that provides suggestions in execution time. This agent is described together with its guidance and suggestion mechanism. The multiagent system has been tested, and the results obtained are presented in this paper

Sistema de vigilancia de personas mayores o con incapacidad usando sistemas multiagente y robots bípedos controlados mediante voz

[EN] Today humanoid robots are being used in various areas of research; this work is pretending develop a prototype to monitor older people or disabled in a building using the humanoid robot NAO, which makes use of a multi-agent system on the SPADE platform and it includes linguistic technologies. A multi-agent system consists of autonomous agents that work together to solve a given problem, where each agent is an independent software entity. In our work two types of agents are presented: • Manager Agent, responsible to report the work done by the reviewers agents. • Reviewer Agent, responsible of managing a robot NAO. Another component of the system, is the dialogue system Voxeo, which through VoiceXML it allows us to interact by voice using Skype with the agent manager. To develop the prototype also we employ other technologies such as he software Choreographer, which is the NAO robot simulator developed by Aldebaran Robotics, an Apache Web server, as well as the use of different languages like XML (eXtensible Markup Language) and Python (interpreted programming language). Thus, this work integrates various technologies related to Artificial Intelligence and Language Technology, to develop a prototype of surveillance system using biped robots.[ES] Los robots humanoides hoy en día están siendo utilizados en diversas áreas de investigación, con este trabajo se pretende desarrollar un prototipo para vigilar personas mayores o con incapacidad en un edificio usando el robot humanoide NAO, el cual hace uso de un sistema multiagente sobre la plataforma SPADE e incluye tecnologías lingüísticas. Un sistema multiagente se compone de agentes autónomos que trabajan juntos para resolver un problema dado, donde cada agente es un una entidad computacional independiente. En nuestro trabajo se presentan 2 tipos de agentes: • Agente gestor, encargado de reportar las tareas realizadas por los agentes revisores. • Agente revisor, encargado de gestionar un robot NAO. Otro componente del sistema, es el Sistema de dialogo Voxeo, el cual a través de VoiceXML nos permite interactuar mediante voz (Skype) con el agente gestor. Para el desarrollo del prototipo también se emplean otras tecnologías, como el software Choregraphe que es un simulador del robot NAO desarrollado por Aldebaran Robotics, un servidor web Apache, así también el uso de diferentes lenguajes como XML (lenguaje el extensible de marcas) y Python (lenguaje de programación interpretado). De esta forma este trabajo integra diversas tecnologías relacionadas con la Inteligencia Artificial y las Tecnologías Lingüísticas, para poder desarrollar un prototipo de sistema de vigilancia empleando robots bípedos. (Yanahuaya Arce, A. (2015). Sistema de vigilancia de personas mayores o con incapacidad usando sistemas multiagente y robots bípedos controlados mediante voz. http://hdl.handle.net/10251/75607Archivo delegad

Conversational Case-Based Planning for Agent Team Coordination

Abstract. This paper describes a prototype in which a conversational case-based reasoner, NaCoDAE, was agenti ed and inserted in the RET-SINA multi-agent system. Its task was to determine agent roles within a heterogeneous society of agents, where the agents may use capabilitybased or team-oriented agent coordination strategies. There were three reasons for assigning this task to NaCoDAE: (1) to relieve the agents of the overhead of determining, for themselves, if they should be involved in the task, or not; (2) to convert seemingly unrelated data into contextually relevant knowledge | as a case-based reasoning system, NaCo-DAE is particularly suited for applying apparently incoherent data to a wide variety of domain-speci c situations; and (3) as a conversational CBR system, to both unobtrusively listen to human statements and to proactively dialogue with other agents in a more goal-directed approach to gathering relevant information. The cases maintained by NaCoDAE have question and answer components, which were originally intende