We extend the Jinni mobile agent architecture with a multicast network transport layer, an agent-to-agent delegation mechanism and a reflection based Prolog-to-Java interface. To ensure that our agent infrastructure runs efficiently, independently of router-level multicast support, we describe a blackboard based algorithm for locating a randomly roaming agent. As part of the agent-to-agent delegation mechanism, we describe an alternative to code-fetching mechanism for stronger mobility of mobile agents with less network overhead. In the context of direct and reflection based extension mechanisms for Jinni, we describe the design and the implementation of a reflection based Prolog-to-Java interface. The presence of subtyping and method overloading makes finding the most specific method corresponding to a Prolog call pattern fairly difficult. We describe a run-time algorithm which provides accurate handling of overloaded methods beyond Java's reflection package's limitations.

Call number: LD2668 .T4 1986 P42 / Master of Science / Computing and Information Sciences

by Ma Wai Yan. / Includes bibliographical references / Thesis (M.Ph.)--Chinese University of Hong Kong, 1985

Typescript (photocopy). / Digitized by Kansas Correctional Industries

Typescript (photocopy). / Digitized by Kansas Correctional Industries

Cette thèse présente un système de types pour le langage Prolog, intégrant la notion de mode, c'est-à-dire le degré d'instanciation des termes. Le type d'un prédicat est caractérisé par les types d'appel et de retour de ses arguments, ce qui permet d'en spécifier plus finement le comportement. Le système est déclaratif : l'utilisateur doit fournir les types de tous les prédicats. Un langage de types est défini, permettant d'exprimer la notion de polymorphisme paramétrique, ainsi que la relation d'inclusion entre types. Une condition suffisante de bon typage est présentée et validée théoriquement. Cette condition permet de vérifier qu'un programme a un comportement compatible avec les spécifications de types de ses prédicats. Un prototype du système a été réalisé, permettant une validation pratique de la condition de bon typage.

<p>We are working on the development and design of an approach to agents that can reason, react to the environment and are able to update their own knowledge as a result of new incoming information. In the resulting framework, rational, reactive agents can dynamically change their own knowledge bases as well as their own goals. An agent can make observations, learn new facts and new rules from the environment, and then update its knowledge accordingly. The knowledge base of an agent and its updating mechanism has been implemented in Logic Programming. The agent’s framework is implemented in Java. </p><p>This aim of this thesis is to design and implement an architecture of a reactive, rational agent in both Java and Prolog and to test the interaction between the rational part and the reactive part of the agent. The agent architecture is called RR-agent and consists of six more or less components, four implemented in Java and the other two are implemented in XSB Prolog. </p><p>The result of this thesis is the ground for the paper “An architecture of a rational, reactive agent” by P. DellAcqua, M. Engberg, L.M. Pereira that has been submitted.</p>

We are working on the development and design of an approach to agents that can reason, react to the environment and are able to update their own knowledge as a result of new incoming information. In the resulting framework, rational, reactive agents can dynamically change their own knowledge bases as well as their own goals. An agent can make observations, learn new facts and new rules from the environment, and then update its knowledge accordingly. The knowledge base of an agent and its updating mechanism has been implemented in Logic Programming. The agent’s framework is implemented in Java. This aim of this thesis is to design and implement an architecture of a reactive, rational agent in both Java and Prolog and to test the interaction between the rational part and the reactive part of the agent. The agent architecture is called RR-agent and consists of six more or less components, four implemented in Java and the other two are implemented in XSB Prolog. The result of this thesis is the ground for the paper “An architecture of a rational, reactive agent” by P. DellAcqua, M. Engberg, L.M. Pereira that has been submitted.

No description available.

Reproduction de : Thèse de doctorat : informatique : Grenoble, INPG : 1987. / Titre provenant de l'écran-titre. Bibliogr. p. 159-168.