Core Design Pattern for Efficient Multi-agent Architecture

Interaction engineering is fundamental for agent based systems. In this paper we will present a design pattern for the core of a multi-agent platform - the message communication and behavior activation mechanisms - using language features of C#. An agent platform is developed based on the pattern structure, which is legiti- mated through experiences of using JADE in real applications. Results of the communication model are compared against the popular JADE platform

Core Design Pattern for Efficient Multi-agent Architecture

Interaction engineering is fundamental for agent based systems. In this paper we will present a design pattern for the core of a multi-agent platform - the message communication and behavior activation mechanisms - using language features of C#. An agent platform is developed based on the pattern structure, which is legiti- mated through experiences of using JADE in real applications. Results of the communication model are compared against the popular JADE platform

4th International Symposium on Ambient Intelligence (ISAmI 2013)

Ambient Intelligence (AmI) is a recent paradigm emerging from Artificial Intelligence (AI), where computers are used as proactive tools assisting people with their day-to-day activities, making everyone’s life more comfortable. Another main concern of AmI originates from the human computer interaction domain and focuses on offering ways to interact with systems in a more natural way by means user friendly interfaces. This field is evolving quickly as can be witnessed by the emerging natural language and gesture based types of interaction. The inclusion of computational power and communication technologies in everyday objects is growing and their embedding into our environments should be as invisible as possible. In order for AmI to be successful, human interaction with computing power and embedded systems in the surroundings should be smooth and happen without people actually noticing it. The only awareness people should have arises from AmI: more safety, comfort and wellbeing, emerging in a natural and inherent way. ISAmI is the International Symposium on Ambient Intelligence and aiming to bring together researchers from various disciplines that constitute the scientific field of Ambient Intelligence to present and discuss the latest results, new ideas, projects and lessons learned, namely in terms of software and applications, and aims to bring together researchers from various disciplines that are interested in all aspects of this area

M-Learning for Elderlies: A Case Study

In this article a case study about m-learning for elderlies using mobile devices is presented. The study focuses on a practical study about language learning for elderly students that attend classes in the so-called Inter-university program for Elderly People. The recent surge of university programs for elderly people requires novel solutions related to learning methods, directed by the special needs of this sector of the society

Dynamical Control in Large-scale Material Handling Systems through Agent Technology

Delayed arrivals, missing tag codes, flight changes, break-downs, etc. are some of the factors, which make the environment of airport baggage handling systems (BHS) extremely dynamic. Pre-scheduling and optimization is not an option, as identity, destination, and the order of items are unknown until they enter the system, which raises the requirement of dynamic control. The DECIDE project focuses on using multi-agent technologies as generic software components to replace traditional system-specific, centralized control software of production systems. This paper presents an application of multi-agent technologies to be used in large-scale material handling systems, such as BHS. To increase understanding and flexibility, standardized interaction patterns from the FIPA organization are used in combination with ontologies, which defines a vocabulary that enables meta-level communication. A mix of coordinating shop floor agents and mediator agents establish an agent platform capable of coping with the challenges. The investigated BHS problem is part of a larger research project, DECIDE, applying multi-agent controls in production systems.