An AgentSpeak meta-interpreter and its applications

A meta-interpreter for a language can provide an easy way of experimenting with modifications or extensions to a language. We give a meta-interpreter for the AgentSpeak language, prove its correctness, and show how the meta-interpreter can be used to extend the AgentSpeak language and to add features to the implementation

Personalización de servicios para clientes de establecimientos comerciales

La personalización de la información es un nuevo reto que consiste en entregar información a la medida de cada usuario, utilizando los recursos de la mejor manera y haciendo que cada bit que se le entregue sea lo que estaba esperando en ese momento, con las características contextuales de su interacción con el sistema utilizando su dispositivo de acceso. Para conseguir la adaptación de la información, este artículo muestra la plataforma “PlaSerEs”, cuyo principal objetivo es el proveer información de los productos y/o servicios ofrecidos por establecimientos comerciales a sus clientes de una manera personalizada. Esta plataforma está estructurada en cuatro capas: i) la capa de adaptación, compuesta de cuatro módulos: el de contexto, el de dispositivo de acceso, el de usuario y el de conexión inalámbrica. Este último es una de las contribuciones de este trabajo. ii) La capa de servicios generales, iii) la de servicios personalizados y iv) la capa de aplicación. Para validar y evaluar el funcionamiento de la plataforma se construyó un prototipo para un restaurante que muestra los servicios que provee “PlaSerEs”

Investigation of an intelligent personalised service recommendation system in an IMS based cellular mobile network

Success or failure of future information and communication services in general and mobile communications in particular is greatly dependent on the level of personalisations they can offer. While the provision of anytime, anywhere, anyhow services has been the focus of wireless telecommunications in recent years, personalisation however has gained more and more attention as the unique selling point of mobile devices. Smart phones should be intelligent enough to match user’s unique needs and preferences to provide a truly personalised service tailored for the individual user. In the first part of this thesis, the importance and role of personalisation in future mobile networks is studied. This is followed, by an agent based futuristic user scenario that addresses the provision of rich data services independent of location. Scenario analysis identifies the requirements and challenges to be solved for the realisation of a personalised service. An architecture based on IP Multimedia Subsystem is proposed for mobility and to provide service continuity whilst roaming between two different access standards. Another aspect of personalisation, which is user preference modelling, is investigated in the context of service selection in a multi 3rd party service provider environment. A model is proposed for the automatic acquisition of user preferences to assist in service selection decision-making. User preferences are modelled based on a two-level Bayesian Metanetwork. Personal agents incorporating the proposed model provide answers to preference related queries such as cost, QoS and service provider reputation. This allows users to have their preferences considered automatically

Decision Support Systems

Decision support systems (DSS) have evolved over the past four decades from theoretical concepts into real world computerized applications. DSS architecture contains three key components: knowledge base, computerized model, and user interface. DSS simulate cognitive decision-making functions of humans based on artificial intelligence methodologies (including expert systems, data mining, machine learning, connectionism, logistical reasoning, etc.) in order to perform decision support functions. The applications of DSS cover many domains, ranging from aviation monitoring, transportation safety, clinical diagnosis, weather forecast, business management to internet search strategy. By combining knowledge bases with inference rules, DSS are able to provide suggestions to end users to improve decisions and outcomes. This book is written as a textbook so that it can be used in formal courses examining decision support systems. It may be used by both undergraduate and graduate students from diverse computer-related fields. It will also be of value to established professionals as a text for self-study or for reference