Controlling agents using the programming language Golog, 2012

Item — Call Number: MU Thesis Alv

Identifier: b4175557

Scope and Contents

From the Collection:

The collection consists of theses written by students enrolled in the Monmouth University graduate Computer Science program. The holdings are primarily bound print documents that were submitted in partial fulfillment of requirements for the Master of Science degree.

Dates

Creation: 2012

Creator

Alvarez, Isidro M. (Isidro Manuel) (1964- ) (Author, Person)
Clayton, Richard (Thesis advisor, Person)
Scherl, Richard (Thesis advisor, Person)

Conditions Governing Access

All analog collection holdings are limited to library use only.

Collection holdings may not be borrowed through Interlibrary Loan.

Researchers seeking to photocopy collection materials must complete an Application to Photocopy Form.

Any photocopying of collection materials will be performed by the Monmouth University Library staff.

The Monmouth University Library reserves the right to limit or refuse duplication requests subject to the condition of collection materials and/or restrictions imposed by the collection creators or by the United States Copyright Act.

Permission to examine, or copy, collection materials does not imply permission to publish or quote. It is the responsibility of the researcher to obtain such permissions from both the copyright holder and Monmouth University.

Full Extent

1 Items (print book) : 115 pages ; 8.5 x 11.0 inches (28 cm).

Language of Materials

English

Additional Description

Abstract

There exist numerous methods and a plethora of languages for controlling software and physical agents. This is a very important endeavor because by using intelligent agents, it could potentially free humans from boring, repetitive tasks, or from dangerous activities. Coupled with this, is one of the most significant goals in Computer Science: the creation of autonomous, intelligent agents. This implies that the intelligent agents possess some potential for learning.

The learning process is a very important endeavor for humans and software alike. Through it new ideas are derived, and new solutions to questions are discovered. Learning is not a monolithic concept; it is composed of different types, each with its own nuances.

This thesis provides a background in the control of agents using the language Golog. There will be a decription of our implementation of different agents using Golog and other ancillary languages. Finally, we propose a description of the more notable methods for learning, followed by a more detailed discussion of 'Learning by Analogy.' Learning by Analogy bears the potential benefit for radically changing how intelligent agents learn and adapt to new tasks. Solutions can be based on prior exerience where a transfer of knowledge from known tasks to a new target task takes place.

Partical Contents

Abstract -- Acknowledgements -- Table of contents -- List of figures -- List of tables -- 1. Introduction -- 2. Domain -- 3. Background -- 4. Golog programs and learning by analogy -- 5. Learning by analogy -- 6. Conclusion -- Appendices -- Bibliography.