Catálogo de publicaciones - libros

Today high volume of goods and services is being traded using online auction systems. The growth in size and complexity of architectures to support online auctions requires the use of distributed and cooperative software techniques. In this context, the agent software development paradigm seems appropriate both for their modelling, development and implementation. This paper proposes an agent-oriented patterns analysis of best practices for online auction. The patterns are intended to help both IT managers and software engineers during the requirement specification of an on-line auction system while integrating benefits of agent software engineering.

This paper introduces the invited session of “Innovations in Intelligent Agents” being presented at the ninth International Conference on Knowledge-Based & Intelligent Information & Engineering Systems. This session concentrates on the use of the Belief-Desire-Intention (BDI) architecture to produce Multi-Agent Systems (MAS) that enable “human-centric” teaming. A brief summary of the innovations that led to the evolution of research into this topic is also provided with the papers that detail the concepts raised in this session.

This paper presents the trends and directions of future agent design. These trends focus on advances in Agent-Oriented programming techniques and describe how agent technologies have developed with increasingly sophisticated techniques. The paper traces the origins of agent technology and describes related principles, especially those that reflect heavily on “Intelligence with Interaction”. This interaction, especially with operator-in-the-loop scenarios, is demonstrated as a critical component of modern Distributed Artificial intelligence. Unfortunately many applications fail to address this fact, creating an interruption to ongoing research. Therefore we believe the next generation of agent systems should focus on human centric interaction to achieve a level of shared- intelligence made possible with modern computational techniques.

This paper illustrates three agent technologies deployed in the Unmanned Aerial Vehicle (UAV) target tracking domain. These capabilities enable: (1) coordination of the tracking of multiple targets among a set of UAVs, (2) identification of the best subset of assigned UAVs from which to collect location information, and (3) evaluation of location information accuracy. These capabilities aid the efficient and effective collection and verification of target location information.

This paper presents a novel approach for implementing reasoning and learning systems based on Intelligent Agents. It is particularly suited for agent systems working in complex and cooperative dynamic environments. This approach was developed to overcome limitations confronted while researching the use of agents in such environments. A brief background of the underlying conceptual reasoning model is described, followed by details of the implemented framework and concluded with some final remarks and future work.

Trust plays a fundamental role in multi-agent systems in which tasks are delegated or agents must rely on others to perform actions that they themselves cannot do. The concept of trust may be generalised and considered as a level of confidence in one’s predictions of another agent’s future behaviour. This has applicability beyond that normally ascribed to trust: for instance, one may be confident that a particular agent’s intentions are hostile, and that this will be borne out by particular behaviours. In this paper we present a cognitive model of trust in which the central component is a Belief-Desire-Intention model or ’theory of mind’ of a person or agent that evolves over time.

The philosophical roots of the Belief-Desire-Intention model lie in Bratman’s formulation of an intention theory of planning, in which he sought to make sense of the notion of future-directed intention. Implementations of BDI mainly follow the original Procedural Reasoning System model. BDI has a sound logical basis, exemplified by the Logic Of Rational Agents. While the LORA formulation has a temporal logic component, however, this does not translate into any ability for the agent to reason about actual time. Being able to reason about actual time would bring significant benefits for BDI agents, such as the ability for agents to communicate deadlines and to plan and schedule activities in a cooperating group. Given a suitable representation of temporal knowledge, an agent could learn about the temporal aspects of its own actions and processes, and this knowledge could be used as input to the planning process. This paper outlines a possible implementation strategy for the representation of, and the capacity to reason about, actual time.

Multi-agent systems are now being considered a promising architectural approach for designing collaborative information systems. In such a perspective, the concept of delegation has often been considered as a key concept for modeling cooperative behavior in MAS. However, despite considerable work on delegation mechanisms in MAS, few research efforts have aimed at truly defining a delegation model for designing MAS. This paper deals with this issue in defining the foundations for a delegation model which is aimed to help the developers during the phase of design of collaborative MAS.

Web ontologies as the foundation of the Semantic Web were proposed to integrate heterogeneous information resources in the Web; howbeit several intrinsic limitations of Web ontologies represented in current Web ontology languages make them unsuitable for interactivities. Concept maps that provide a visual language for organizing and representing knowledge are widely used in many disciplines and application domains. This paper mainly describes an interactive visual model Web Ontology Map (WOMap) that extends Web ontologies with concept maps to sharing and exploring large-scale knowledge in an attractive and efficient way towards the Web.

One fundamental issue for semantic web application is how to define the mapping between relational model and RDF model, so that the legacy data in relational databases can be integrated into semantic web. In this paper, we propose an view-based approach to mediate relational schema using RDF-based ontology. We formally define the , and precisely define the semantics of answering queries using ontology view. With our approach, we highlight the important role played by in defining semantic mappings and representing the incomplete part of relational schema.