Intelligent Agent Systems

1
Intelligent Agent Systems
2
Artificial Intelligence

• Systems that think like humans
• Systems that think rationally
• Systems that act like humans
• Systems that act rationally

3
What Is Intelligence?

• Knows the Envrionment (B)
• Knows What you can do and How you can do that (D)
• Able to choose the best action (knows Why you
  choose that) (I)

4
Informatic

• Handles Information
• Store Data
• Centralized / Decentralized
• Transfer Data
• Internet / Computer Network
• Communication Protocols
• Analyzing Filtering Data
• Software Agents

5
Turing Testing for Intelligence

• Natural Language Processing
• Knowledge Representation
• Automated Reasoning
• Machine Learning
• Computer Vision
• Robotics

6
AI Directions

• Directions
• Expert Systems
• Neurosciences
• Neural Networks
• Machine Learning
• Fuzzy Logic
• Intelligent Agents
• The Semantic Web

7
Computing

• Machine Languages Assembler, Z, etc.
• Procedural Approach Basic, Pascal, Cobol,
  Fortran, C, etc.
• Logical Language Lisp
• Object-Oriented Programming C, Java
• Genetic Algorithm Evolutionary Programming
• Agent-Oriented Computing?

8
Software Development

• Software Engineering meets Challenges
• Size
• Complexity
• Heterogeneity
• Control
• Change
• Semantic

9
The Foundations of Agents

• Micro Level Issues
• Macro Level Issues
• Technologies

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Agent Definitions

• No Concensus Definition
• An Agent is a computional entity which
• - acts on behalf of a person or other entities
  in an automous fashion
• - performs its action with some level of
  proactivity and/or reactiveness
• - exhibits some level of the key attributes of
  learning, cooperation and mobility

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Agent Charcteristics

• Intrinsic
• Lifespan Transient to Long-lived
• Level of Cognition
• Reactive to Deliberative
• Construction Declarative to Procedural
• Mobility Stationary to Itinerant
• Adaptibility
• Fixed to Teachable to Autodidactic
• Modeling Of environment themselves, or other
  agents

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Agent Characteristics

• Extrinsic
• Locality Local to Remote
• Social autonomy Independent to Controlled
• Sociability Autistic, Aware, Responsibility,
  Team Player
• Friendliness Cooperative to Competitive to
  Antagonistic
• Interaction Logistics, Style, Semantic Level

13
MultiAgent Systems

• To solve problems that are too large for a
  centralized single agent to do due to resource
  limitations.
• To provide solutions to inherently distributed
  problems.
• To provide solutions which draw from distributed
  information sources

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Mobile Agents

• A mobile agent is a software entity which exits
  in a software environment and has ability to
  transport itself from one system in a network to
  another.
• A mobile agent system consists of
• - An agent model
• - A life-cycle model
• - A computational model
• - A security model
• - A commutational model
• - A navigation model

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Agent Applications

• Industry
• Factory Process Control
• Particle Acceleration Control
• Electicity Distribution Management
• Automatic Supply Chain Management
• Economy
• Automatic Auction Systems
• Business Process Management
• Agent-based Computational Finance

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Agent Applications

• E-Commerce
• Online Trading System
• Agent-based Stock market System
• A Virtual market place
• Agents on The Internet / The Semantic Web
• Information Gathering
• Automatic Annotation
• Global Information Management

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Agent Applications

• Real-Time Control
• Air Traffic Control
• Urban Traffic Control
• Decentralized Train Scheduling
• Health Care
• Automatic Patient Scheduling