Transcript Introduction to Agent Technology in Mobile Environment

Introduction to Agent Technology in Mobile
Environment
Course Introduction
Vagan Terziyan
Department of Mathematical Information Technology
University of Jyvaskyla
[email protected] ; [email protected]
http://www.cs.jyu.fi/ai/vagan
+358 14 260-4618
ITIN, France, February 2006
Contents
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Practical Information
Course Introduction
Lectures and Links
Course Exercise and self-study
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Practical Information
Lectures: 10 hours
Thursday: 23 February, 9:00-10:15; 10:30-12:00; 13h30-15h15;
Friday: 24 February, 9:00-10:15; 10:30-12:00.
 Slides available online (links from Introductory Lecture)
Exercise: 6 hours
Thursday: 23 February, 15:30-17:00
Friday: 24 February, 13:30-15:15; 15:30-17:00.
 task will be announced during the lectures
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Introduction:
Semantic Web - new Possibilities for
Agent-Driven Applications
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Agents in Mobile Environment (sample scenario)
Mobile
Customer
Mobile
Customer
Agent
(Peer)
Mobile
Customer
Agent
(Peer)
Agent
(Peer)
Agent
(Peer)
Mobile
Customer
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Motivation for Semantic Web
Semantic Web Structure
Before Semantic Web
Semantic
Annotations
Ontologies
Logical Support
Languages
Tools
Applications /
Services
Semantic
Web
WWW
and
Beyond
Creators
Users
WWW
and
Beyond
Web content
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Creators
Users
Web content
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Semantic Web Content: New “Users”
Semantic
Web and
Beyond
Users
Creators
applications
Semantic Web
content
agents
Semantic
Annotations
Ontologies
Logical Support
Languages
Tools
Applications /
Services
Semantic
Web
WWW
and
Beyond
Creators
Users
Web content
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Semantic Web: Resource Integration
Semantic
annotation
Shared
ontology
Web resources /
services / DBs / etc.
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Semantic Web: What to Annotate ?
External world
resources
Web resources /
services / DBs / etc.
Web users
(profiles,
preferences)
Shared
ontology
Web agents /
applications
Web access
devices
Smart
machines
and devices
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Word-Wide Correlated Activities
Semantic Web
Semantic Web is an extension of the current
web in which information is given well-defined
meaning, better enabling computers and people
to work in cooperation
Agentcities is a global, collaborative effort
to construct an open network of on-line systems
hosting diverse agent based services.
Agentcities
Grid Computing
Wide-area distributed computing, or "grid” technologies,
provide the foundation to a number of large-scale efforts
utilizing the global Internet to build distributed computing
and communications infrastructures.
Web Services
WWW is more and more used for application to application communication.
The programmatic interfaces made available are referred to as Web services.
The goal of the Web Services Activity is to develop a set of
technologies in order to bring Web services to their full potential
FIPA
FIPA is a non-profit organisation aimed
at producing standards for the interoperation
of heterogeneous software agents.
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GENI – Next Generation Internet
 GENI - Global Environment for Networking Investigations
(proposed 25 August 2005)
 The U.S. National Science Foundation (NSF) has proposed a
next-generation Internet with built-in security and
functionality that connects all kinds of devices, with
researchers challenging the government agency to look at the
Internet as a "clean slate."
 The GENI Initiative envisions the creation of new networking
and distributed system architectures that, for example:
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Build in security and robustness;
Enable the vision of pervasive computing and bridge the gap between
the physical and virtual worlds by including mobile, wireless and
sensor networks;
Enable control and management of other critical infrastructures;
Include ease of operation and usability; and
Enable new classes of societal-level services and applications. 11
GUN vs. GENI
GUN
Global
Understanding
eNvironment
GUN initiative intends to
provide tools and solutions to
make heterogeneous industrial
resources (files, documents,
services, devices, processes,
systems, human experts, etc.)
web-accessible, proactive and
cooperative in a sense that
they will be able to analyze
their state independently from
other systems or to order such
analysis from remote experts
or Web-services to be aware of
own condition and to plan
behavior towards effective and
predictive maintenance.
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Agent Technologies is a key advantage !
RGBDF on a GUN Platform
Ontology
Roles
Goals
Resource
Agent
Templates
Behaviour
rules
Resource
History
Templates
Behaviour
Executable
modules or
Web Services
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One of Smart Resource Scenarios
“Knowledge Transfer
from Expert to Service”
Agent plays roles:
“Expert”
Scene 1: “diagnostic expert”;
Scene 2: “no play”;
Scene 3: “no play”
Agent plays roles:
Scene 1: “no play”;
Scene 2: “student”;
Scene 3: “diagnostic expert”
“Device”
Labelled
data
Labelled
data
“Service”
History
data
Agent plays roles:
Diagnostic
model
Scene 1: “patient”;
Scene 2: “teacher”;
Scene 3: “patient”
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ATME Course: Lectures
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Semantic Web Lectures
Lectures Schedule
23/02/2006 (9:00 - 10:15) – Lecture 1: What is an Intelligent Agent?
23/02/2006 (10:30 - 12:00) – Lecture 2: Agent Technologies
23/02/2006 (13:30 - 15:15) – Lecture 3: Agent Architectures
24/02/2006 (9:00 - 10:15) – Lecture 4: Mobile Personalization with Agents
24/02/2006 (10:30 - 12:00) – Lecture 5: Industrial Agent-Driven Smart Resources
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Introduction
http://www.cs.jyu.fi/ai/vagan/AT_Introduction.ppt
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Lecture 1: What is an Intelligent Agent ?
Ability to Exist to be Autonomous,
Reactive, Goal-Oriented, etc.
What is an Intelligent Agent ?
- are the basic abilities of an Intelligent Agent
Based on Tutorials:
Monique Calisti, Roope Raisamo
http://www.cs.jyu.fi/ai/vagan/Agents.ppt
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Lecture 2: Agent Technologies
Mobility and Flexibility, Abilities to Communicate,
Cooperate, and Negotiate with other Agents - are
among the basic abilities of an Intelligent Agent
Agent Technologies
Based on tutorials: Monique Calisti, Amund Tveit, Shaw Green, Leon Hurst,
Brenda Nangle, Pádraig Cunningham, Fergal Somers, Richard Evans
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1
http://www.cs.jyu.fi/ai/vagan/Agent_Technologies.ppt
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Lecture 3: Agent-Based Content Management Architectures
21 Web Content Management
Architectures
Vagan Terziyan
MIT Department, University of Jyvaskyla,
AI Department, Kharkov National University of Radioelectronics
[email protected]; http://www.cs.jyu.fi/ai/vagan/index.html
http://www.cs.jyu.fi/ai/vagan/Architectures.ppt
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Lecture 4: Mobile Personalization with Agents
http://www.cs.jyu.fi/ai/vagan/Mobile_Personalization.ppt
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Lecture 5: Industrial Agent-Driven Smart Resources
http://www.cs.jyu.fi/ai/vagan/SmartResource_Summary.ppt
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Additional Material for Self-Study
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Agent Standards
Ability to Behave in a Standardized Way
Allowing Interoperability with other
Heterogeneous Agents,
- are the basic abilities of an Intelligent Agent
Agent Standards
FIPA Agent Framework
Based on Presentation of Heimo Laamanen
(Sonera Corporation)
http://www.cs.jyu.fi/ai/vagan/Agent_Standards.ppt
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Designing Software Agents with JADE
http://www.eclipse.org/
http://jade.cselt.it
http://www.fipa.org
http://www.hibernate.org
http://herzberg.ca.sandia.gov/jess/
http://protege.stanford.edu/
www.swi.psy.uva.nl/usr/aart/beangenerator
http://jadex.sourceforge.net
http://www.cs.jyu.fi/ai/vagan/JADE_Agents.ppt
http://jade.tilab.com/doc/JADEProgramming-Tutorial-for-beginners.pdf
http://sharon.cselt.it/projects/jade/papers/JADETutorialIEEE/JADETutorial_Programming.pdf
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http://sharon.cselt.it/projects/jade/papers/JADETutorialIEEE/JADETutorial_Using.pdf
JADE (Java Agent DEvelopment Framework)
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Related Course
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Agent Technologies in the Semantic Web
http://www.cs.jyu.fi/ai/vadim/ ;
by Vadim Ermolayev;
recommended as additional reading.
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Course Exercise
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Alternative 1
for software engineers
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Develop Agent(s) with JADE
 Try to develop simple agent scenario based
on JADE (or JADE+Eclipse) development
environment;
 Possible scenario: agent which sends emails with fixed congratulation text to the
persons from the address book who have a
birthday;
 Any other scenario of your choice will be
OK
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Alternative 2
no software development, just a report
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Task for the Exercise (according to A. Raja) (1)
Consider the home of the future where there are software agents in
a mobile environment that are helping to manage the running of a
house. There will be:
 (1) Personal assistant agents that will know of your preferences of
temperature, humidity, light, sound, etc., and who you want to
interact with;
 (2) There will be agents that can measure appropriate
environmental conditions with specific devices;
 (3) There will be agents that effect appropriate environmental
conditions with specific devices;
 (4) There will be agents that control expenses for the use of
appropriate devices;
 (5) There will be agents that manage the telephone
communications;
 (6) There will be agents that manage security issues such as32fire,
earthquake, flood protection, etc.
Task for the Exercise (according to A. Raja) (2)
 Assume that the agents are heterogenous (i.e. have not be
generated by one designer), for example when you get a
new device it will come with an agent; for instance, the
heating measurement agent may not come from the same
company as the air-conditioning agent.
 Think about the possibility of having these agents work
together. What are the capabilities of the agents, what
type of cooperation needs to occur among them, are there
needs for the agents to negotiate, are there situations
where local objectives are at odds with global objectives
such as minimizing electrical usage? What type of
information needs to be exchanged among the agents?
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Task for the Exercise (according to A. Raja) (3)
 How would you organize the agents – would you have a
hierarchy of agents in terms of their control
responsibilities? How would you allow agents to
integrate new agents into the system, for instance, when
you buy a new device.
 What are the specific characteristics required by a
language in order that these agents can share
information? If there are no dedicated resources for each
agent, but rather a pool of resources that can be used by
agents, what new issues does this introduce? Do agents
need to reason about the intentions of other agents?
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Task for the Exercise (according to A. Raja) (4)
 In answering these and related issues that you may
consider, please be concrete with specific and numerous
examples/scenarios. You should first start out the effort
by detailing the collection of agents that you see in the
house of the future, what their responsibilities are, and
their patterns of interaction with other agents.
 Outcome of the exercise is report. Including figures, it
should be 3-5 pages long.
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