Catálogo de publicaciones - libros

The organization concept is an important abstraction to analyze and design multi-agent system. In this paper, we argue, the organization constraints should be explicitly modeled and reasoned when developing multi-agent system. The characteristics of organization constraint are discussed, a systematic method to model and reason the organization constraints is put forward and a case is studied.

In this paper, we present a framework/model for a logic programming multi-agent system in mobile environments. Such a system consists of a number of agents connected via wire or wireless communication channels, and we model the interactions between agents in our formalization. Our formalization is knowledge oriented with declarative semantics. Our model can be used to study the details of knowledge transaction in mobile environments.

The intention of managing agent interactions between agents residing in a virtual collaborative environment is to obtain some useful beliefs that can be used in agent reasoning and decision making in order to optimize further agent interactions. Agent business relationships (such as trust, loyalty, understanding and friendship) are such beliefs. This research provides an approach to the management and application of agent interaction instances. The paper firstly introduces the multi-agent system architecture built in the virtual collaborative environment. Secondly, it presents the interaction protocols designed for the software agents. Then, it describes the design and implementation of the management of interactions. Finally, it depicts a specific belief revision function for personal agents to dynamically update agent business relationships in terms of the management of agent interaction instances.

Situation assessment (SA) is the basis for many of the planning activities performed by the battlefield commander and staff. And as a very complex military process, it requires the cooperation of lots of information processing technology. Multi-agents system (MAS) is a useful method to model the complex Command and Control (C2) system. In this paper, we present a multi-agents model for situation assessment. The three main components of this model, which are computation, reasoning and communication, were designed in detail by integrating series of new and useful technology. The computation component calculates the Battlefield Initiative; the reasoning component makes the situation prediction; and the communication component gives a help to interchange situation information among the Situation Assessment Agents (SA-Agents).This model can integrate qualitative reasoning, quantitative computing and multi-source communicating as a whole, and give the result of situation assessment and the risk value to take it, which is very useful in the C2 system simulation.

Negotiation is the highlight of e-commerce and artificial intelligence. This paper applies the idea of personality to BDI models and therefore attempts to present new negotiation architecture and to illustrate the protocol and algorithm. Through the experiments this paper analyses and proves that the personality (temperament) exerts great influence on concession rates in negotiation, and therefore affects the choices of negotiation strategy.

This paper proposes a robot oriented Mobile Intelligent Agent Model-MIAM, composed of core function, mobile ability, intelligent engine and communication interfaces, which provide flexible multi-mode robot control solutions for intelligent control and remote control.

The approach offers a methodological framework for the development of multi-agent systems. However, this approach does not provide full coverage of the needs often found in information systems development, lacking, for example, an appropriate capability for customization or links to infrastructural, non-engineering processes. By adopting a method engineering perspective, it is possible to integrate the best parts of into the OPEN repository so organizations can create and own customized variants of as necessary.

In this paper, we propose a way for mobile applications to recognize the daily spatial behavior of a user in the duration of a day. A feature representation of the user’s spatial behavior is created from the accumulation of GPS location data logged in the user’s everyday lives. By referencing this representation - called “Behavior Map”, mobile applications could infer a path the user will take, and behave proactively for locations where the user will be in.

Recent research in area of multi-agent technology attracted a growing attention of both scientific community and industrial companies. This attention is stipulated by powerful capabilities of multi-agent technology allowing to create large scale distributed intelligent systems, and, on the other hand, by practical needs of industrial companies to possess an advanced and reliable technology for solving of practically important problems. Currently one of the topmost questions of the research is development of powerful methodologies for engineering of agent-based systems and development of more effective and efficient tools supporting implementation of applied systems. The paper presents one of such tools, Multi Agent System Development Kit, based on and implementing of Gaia methodology. It supports the whole life cycle of multi-agent system development and maintains integrity of solutions produced at different stages of the development process.

Roles have gained a fair amount of attention from researchers in the multiagent system domain. given its recurrent appearance on most application examples using an agent-oriented approach. This attention is understandable, because the role an agent takes within any given system defines every one of its actions, i.e., what it thinks and what it says.

The Agent-UML specification language presents a notion of Role that could be related to previous works such as actors and objects. However, AUML gives roles a totally different, more agent-oriented approach, by considering that roles are a of the entities conforming the system (agents).

This paper focuses on the limitations of the current AUML specifications and its related implications on dynamic roles.