Agent Oriented

8/2/2019 Agent Oriented

1/28

SEA SideSoftware Engineering AnnotationsAAnnotation 6

One hour presentation to inform you of new

techniques and practices in software

development.Professor Sara Stoecklin

Director of Software Engineering- Panama City

Florida State University Computer Science

[email protected]

[email protected]

850-522-2023 Ex 182
http://www.fsu.edu/mailto:[email protected]:[email protected]://www.fsu.edu/http://www.fsu.edu/mailto:[email protected]:[email protected]


2/28


3/28

Assembly languages

Subroutines

Libraries or modules of subroutinesObjects

Distributed objects

Object librariesDistributed agents

Agent libraries


4/28

EQUIVALENT TERMS

SWE with agents

Agent based software engineering

Multi agent systems

Agent oriented software engineering


5/28

Examples:

Animated paperclip agent in MS

Computer Virus destructive agents

Artificial players in computer games(quake)

Trading and negotiation agents (Ebay)

Web spiders (search engines likegoogle)


6/28


7/28

Standards groups for AOP

OAA - :Open Agent Architecture

Agent is a software process that meetsthe conventions of the OAA society


8/28

OAA

Agent satisfies this requirement by

registering the services it can provide inan acceptable form by being able tospeak the Inter-agent CommunicationLanguage (ICL), and by sharing

functionality common to all OAA agentsuch as the ability to install triggers,manage data in certain ways, etc.


9/28

A Simple Example

Agent for Spoken Language

- travel agency

- telephone directory assistance

to find someones numberto dial someones number

- train schedule information


10/28

Acoustic

Pattern

Matching

HMM

DynamicTime

Warp

Language

Specifications

Selected

Word

Speech Processing Diagram

Figure 1 Page 8

Acoustic

Signal

Processing

speech input

noisesmessages

Time

Analysis

Formal

Language

models

BNF

user

speech signals

Acoustic patterns


11/28


12/28

Reengineering

Telephone

Registration

Implementation


13/28

Shoham proposes AOP system hasthree components

A logical system for defining the mentalstate of agents

Interpreted program language forprogramming agents

An agentification process, for

compiling agent programs into lowerlevel executable systems.


14/28

Framework

Distributed agent framework multiple agentscontribute a high level expression describing

the needs and attributes of the request to aspecialized facilitator agent. The facilitatoragent makes decisions about which agents are

available and capable of handling sub-parts ofthe request and manage all agent interactionsrequired to handle the complex query.


15/28

Framework

Advantage such a distributed agent arch allowsthe construction of systems that are more

flexible and adaptable than distributed objectframeworks.

Individual agents are dynamically added to the

community extending the functionality that theagent community. The agent system is also ableto adapt to the available resources in a way thathardcoded distributed objects cannot.


16/28

Framework

Agents themselves will compete and

cooperate in parallel to translate userrequests into a ICL expressions.

The facilitator techniques, reason about theagent interactions necessary for handling agiven complex ICL expression and allowhuman users to closely interact with theever changing community of distributed

agents.


17/28

OOP vs AOP

Extension of OOP where objects becomeagents by redefining both their internal state

and their communication protocol inintentional terms.

Agents have quality of volition that is using AI

techniques intelligent agents judge theirresults and modify their behavior and theirown internal structure to improve theirperceived fitness.


18/28

OOP vs AOP

Normal objects contain arbitrary values in their

slots and communicate with messages.AOP agents contain beliefs, commitments,choices, and the like and communicate witheach other via a constrained set of speech type

acts such as inform, request, promise, declinethe state of the agent is called its mental state.


19/28

OOP vs AOP

OO focused on defining interfaces for

objects coupling where one objects needsto invoke a specific method with specificarguments on the other object therebycoupling the two in code.

This same method invocation does occur inagents with one major difference, thereeffectively just one method with each agent

and one argument.


20/28

OOP vs AOP

All the semantics of the invocation are

bundled into that one argument just like inhuman communication where one languageis used to initiate complex cooperativebehavior.

Agents may communicate using an ACL orICL where objects communicate with a fixedmethod of interfaces


21/28

OOP vs AOP

Objects are abstractions of things likeinvoices.

Agents are abstractions of intelligent beings

they are essentially anthropomorphic notintelligent in the human sense onlymodeling an anthropomorphic architecturewith beliefs, desires, etc


22/28

Claim of AOP is that is it a level ofabstraction above and beyond the currentcapabilities of OO.

AOP Software Engineering is one of themost recent contributions to the field of

software with benefits compared toexisting development approaches, inparticular the ability to let agentsrepresent entities in a software system.


23/28

E-procurement agents enable companies to implement electronicinvoice presentment and payment systems (EBPP)

Remember B2B invoices are complex

May have several hundred pages

May have many discrepancies

ebXML is being considered for payment systems so the workflowcan communicate in B2B e-procurement

IBM has a tpaXML trading partner agreement markup languageallows trading partners to manage contracts and relationshipsincluding payment relationships

Computer-Assisted Requisitioning


24/28

IBM ebXML, tpaXML

XbML

DARPA Agent Mark Up Language (DAML)


25/28

DAML (DARPA Agent Markup Language) is a markup language

based on the Extensible Markup Language (XML).

DARPA is developing DAML as a technology with intelligencebuilt into the language through the behaviors of agents,programs that can dynamically identify and comprehendsources of information, and interact with other agents in anautonomous fashion.


26/28

DAML agents are embedded in code and maintain awareness of theirenvironment, are user-directed, but have the capacity to behaveautonomously.

They have the capacity to "learn" from experience, so that they improvetheir behavior over time.

DAML uses a number of agents (such as information agents, eventmonitoring agents, and secure agents) for different purposes.

DAML's semantic knowledge and autonomous behavior is expected to makeit capable of processing large volumes of data much as a human beingwould process it.


27/28

THE FUTUREClick on SearsScroll down to maintenance Hello Dr. Stoecklin

Which of your products needs maintenance?

Is it still in the back yard on the wooden deck?Can we come on Monday morning at 11:00 It is time to renew your maintenance or replace that grill, we

have one very similar to the one you have on sale for 129.00 oryour renewal maintenance contract will be 89.00 for 4 years.Would you like us to order one for you.

ONE YEAR LATER about June contacted again.


28/28

Personalization of Customer by name, preferences, content byprofile, cross sells, ATMs, sales behavior, click streams,

registration, purchasing patterns.

Website Content Presentation Management agents to provide content

based on personalization of customerWebsite Analysis Tools agents to analyze effectiveness during usePortals and Knowledge Management agents for intelligent queries,

profile based searches

Employee Relationship Management agents to help with benefits, off timeCustomer Relationship Management agents with txonomies and linguistics

Contract Management agents to negotiate, partnership managementEnterprise Resource Planning agents for monitoring OLAP to planSupply Chain Management agents for determining best chainHelp Desk Support agents to help with billing, computer help, etc.Field Service and Dispatch agents for scheduling field service

Documents

Agent Oriented