Catálogo de publicaciones - libros

Telework is becoming an important aspect of our social life, and it is raising many new problems for us to solve, such as how to match the most appropriate teleworkers to the most appropriate positions of a project, thus dynamically organizing a project team ( Optimal Project Teaming ) in a huge telework community. The objective in this paper is to propose a concept of a web-based and agent-based support system for project teaming carried out in a huge telework community, and develop a prototypical system based on the concept. We defined a model of project teaming in telework community, and pointed out current problems in web-based job matchmaking. Next, we proposed a concept of agent-based support system for project teaming which consists of an agent-based job matchmaking process and an elaborating process of the result by collaborative agents. The domain-specific heuristics used in the agent-based support process are formalized, and each agent in two processes is designed. Finally, a prototypical system based on the design is demonstrated.

This paper proposes a new method of building information extraction rules for Web documents by exploiting a user interface agent that combines the manual and automatic approaches of rule generation. We adopt the scheme of supervised learning in which the interface agent is designed to get information from the user regarding what to extract from a document and XML-based wrappers are generated according to these inputs. The interface agent is used not only to generate new extraction rules but also to modify and extend existing ones to enhance the precision and the recall measures of Web information extraction systems. We have done a series of experiments to test the system, and the results are very promising.

This paper proposes a method of constructing navigation agents that provide more personalized Web navigation by exploiting domain-specific ontologies. In general, ontology is regarded as the specification of conceptualization that enables formal definitions about things and states by using terms and relationships between them. In our approach, Web pages are converted into concepts by referring to domain-specific ontologies which employ a hierarchical concept structure. This concept mapping makes it easy to handle Web pages, and also provides higher level classification information. The proposed navigation agent eventually recommends the Web documents that are associated with the concept nodes in the upper-levels of the hierarchy by analyzing the current Web page and its outwardly-linked pages.

In this paper we discuss the “safe to act” problem, a problem associated with the safe interleaving of acting and planning. We also discuss previous research that is relevant to this problem. We then propose a specific search strategy for a general hierarchical plan-space planner that pushes portions of the emerging plan to become “execution ready” as quickly as possible. Finally, we discuss a property, critical serialisability, that is sufficient for a domain to possess in order for these portions to be “safely” executed.

With the drastic increase of mobile phone usage, infrastructures have been established to better network and connect the users. Consequently, the services through mobile devices, called M-services, are thriving with plausible applications. This work presents building an agent-based system for confirming user appointment through Callback URL, which is using SMS on the mobile phone in order to reduce the rate of failing appointment and the loss from such failures. To avoid the degradation of the system caused by the excessive accesses per try, methods in processing large-scale transactions and preventing obstacles, along with the comparison of the two methods are introduced.

In this paper we propose a logical system combining the update logic of A. Baltag, L. Moss and S. Solecki (to which we will refer to by the generic term BMS, [BMS04]) with the belief revision theory as conceived by C. Alchouròn, P. Gärdenfors and D. Mackinson (that we will call the AGM theory, [GardRott95]) viewed from the point of view of W. Spohn ([Spohn90,Spohn88]). We also give a proof system and a comparison with the AGM postulates.

This paper proposes a new e-procurement model for a large number of buyers and sellers interacting via the Internet. The goal of e-procurement is to create a satisfactory match between buyers’ demand and sellers’ supply. From our real-world experience, we view e-procurement as a process of negotiation to increase the matching quality of two corresponding specifications: one for buyers’ demand and another for sellers’ supply. To model scalable e-procurement, we propose a co-adaptive matchmaking mechanism using mutual relevance feedback. In order to understand the nature of the mechanism, we have developed two types of software agents, called e-buyers and e-sellers, to simulate human buyers and sellers. Multiagent simulation results show that the matching quality is incrementally improved if agents adaptively change their specifications. A realistic example is also provided to discuss how to extend our simulation to real-world e-procurement infrastructure.

This paper describes an intelligent mobile agent named picoPlangent that we developed for use with portable devices. picoPlangent is designed with a component-based architecture. The agent functions are implemented by a set of small components, and the arrangement of these components can be easily changed within the limits of the available resources of each portable device. Agent actions are described into the goal tree that realizes the flexible actions of the agent on portable devices. The picoPlangent architecture is simple and easy to implement on various devices. We implemented picoPlangent using J2SE on PCs, GCC on PDAs (Palm devices) and J2ME on cellular phones (iAppli/ezPlus).

In this paper we argue that the agent paradigm offers promising techniques for dealing with the challenges of building intelligent mobile services. We present Agent Oriented Software Engineering as a solution for the problems in designing a new generation of mobile services. To illustrate our position, we present a brief agent-oriented analysis of a mobile commerce scenario.

Much research has been done on the calculation of trust, impression and reputation, as well as using these information to decide whether to cooperate with other agents in cooperative environments. However, little is about how to use these information to help agents make decision on whether to believe a particular message when the message sender has intention to be honest as well as dishonest, and make decision on whether to lie. In this paper, we describe a framework to help agents make these decisions in a semi-competitive environment, and show that agents adopting the proposed model have better performance than agents adopting previous models or strategies.