Intelligent Agents 2

Intelligent Agents

Julie Fratus Eitaro Kajiwara Rosa Kang Andy Panjaitan

Agenda • • • • •

“Knowledge Navigator” (Apple 1988) Basic Description (Agent Andy) Future Uses (Agent Eitaro) Business Applications (Agent Rosa) Personal Applications (Agent Julie)

Basic Description • Software entities that carry out some set of operations on behalf of a user or another program with some degree of independence or autonomy. • Programs that gather information or perform some other services with or without the immediate presence of the user.

Names for Intelligent Agents • • • • •

Artificial Intelligence System Robots Wizards in Software Program Animated Character in Video/Internet Computer Controlled in Games

How do they work? • •

Delegate work to Agent Software Abilities – – – – – – – –

Interact with user in real world Find specific information Solve problems Make Decisions Summarize Complex Data Perform Repetitive Tasks Handling Multiple tasks Mobile

Limitations of Intelligent Agents • • • • •

Security Risk Language barriers Trust and delegation Push aside : human efforts Need improvement

History • 1950’s – Researchers (MIT) • Selfridge • Minksy • McCarthy

• 1960’s – ELIZA (Prof Weizenbaum – MIT) • First Intelligent Software Agent • A computer “therapist” application

History • 1988 – Knowledge Navigator • Breakthrough movie by Apple

• 1994 – World Wide Web Worm • First internet search engine, created by Oliver McBryan – Univ of Colorado

History • 1995

– Artificial Life Simulation in Toys • Tamagotchi • Furbies.

History • 1997

– Robo Shopper • Web shopper to help compare prices

• 1999 – Microsoft Office “dancing paper clip” • Help Agent

History • 1999 – Windows Spelling and grammar checkers • Linguistic Analysis • Predictive and Hueristics Matching • Real Time (wavy lines)

• Today – Amazon.com, Barnes and Noble • Track Customer Buying • Recommendation Agents

– News and Information Sites

Now and Future The combination between Intelligent Agent and Mobile Technology

“Plangent “, developed by TOSHIBA, Japanese electronic company.

What is the Plangent • • • •

Autonomy Mobility Adaptability Locability

What is the Plangent

Where is Plangent agents' f iel d of acti vi ty ? •Plangent agents can move around workstations and personal computers *node: Node is a instrument connected with network, such as hub, PC, or mobile phone.

The Pl angent agents' f iel d of acti vi ty

*node: Node is a instrument connected with network, such as hub, PC, or mobile phone.

Pla ngent as a mobile a gent syst em Advantages • Avoiding placing excess load on the network • Preventing excessive concentration of work on one computer • Moving from mobile PCs

Pla ngent as a mobile a gent syst em

How can Pl angent generate pl ans by itself?

Maki ng Plangent perf orm new tas ks Agents can be assigned to perform new tasks and it is up to human imaginations…

Maki ng Pl angent perf orm new tasks like…

Maki ng Pl angent perf orm new tasks like…

Business Application Domains • Industrial Applications • Commercial Applications • Medical Applications

Industrial Applications • Process Control – Agents used for communication, planning & coordination, agent information, and intelligent systems

• Manufacturing – Agents represent each factory & able to negotiate process manufacturing

• Air Traffic Control – Agents represent aircrafts to simulate real world

Commercial Applications • Information Management – E-mail filtering agents – Internet news filtering programs – Digital libraries

• Electronic Commerce – Buying & selling agents

• Business Process Management – Agents represent departments that provide services available for negotiation with other agents

Medical Applications • Patient Monitoring – Knowledge sharing across team on blackboard platform

• Health Care – Integrates patient’s information from specialists to knowledge management

Types of Agents • • • • •

Interface System Advisory Filtering Retrieval

• • • •

Navigation Monitoring Profiling Recommender

Personal Uses • • • •

Virtual Assistants Monitoring/Filtering File Management Integration of Interfaces

• • • •

Shopping Entertainment Search Engines Automate System Tools

Agentland.com • • • • • • •

Search Agents Monitoring Agents Shop Bots Web Agents Virtual Assistants WebMaster Agents AI Games

BotKnowledge.com • • • • • • • •

Search Bots Knowledge Management Bots Chatter Bots Cyber Bots Shopping Bots Collaborative Bots Telephony Bots Informant Bots

Recommended Sources • • • • • • • • •

http://www.agentland.com/ http://psychology.about.com/od/intelligentagents/ http://www.botknowledge.com/ http://agents.umbc.edu/ http://agents.www.media.mit.edu/groups/agents/pro http://azportal.uum.edu.my/IT_TERMPAPER/artificia http://www.microsoft.com/msagent/default.asp http://www-ai.ijs.si/eliza/eliza.html http://web.media.mit.edu/~selker/fullresume.pdf

Questions

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