This book is the second in a series on Artificial Intelligence. It adopts a behaviour-based approach to the design of agent-oriented systems. Topics covered from a behaviour-based perspective include agent communication, searching, knowledge and reasoning, and intelligence. Accompanying the book is a series of exercises and NetLogo models (with source code and documentation) which can be run directly from an applet or downloaded.
Description
Content
- Behaviour
- What is behaviour?
- Reactive versus Cognitive Agents
- Emergence, Self-organisation, Adaptivity and Evolution
- The Frame of Reference Problem
- Stigmergy and Swarm Intelligence
- Implementing behaviour of Turtle Agents in NetLogo
- Boids
- Summary
- Communication
- Communication, Information and Language
- The diversity of human language
- Communication via communities of agents
- Communicating Behaviour
- The Small World Phenomenon and Dijkstra’s algorithm
- Using communicating agents for searching networks
- Entropy and Information
- Calculating Entropy in NetLogo
- Language Modelling
- Entropy of a Language
- Communicating Meaning
- Summary
- Search
- Search Behaviour
- Search Problems
- Uninformed (blind) search
- Implementing uninformed search in NetLogo
- Search as behaviour selection
- Informed search
- Local search and optimisation
- Comparing the search behaviours
- Summary and Discussion
- Knowledge
- Knowledge and Knowledge-based Systems
- Knowledge as justified true belief
- Different types of knowledge
- Some approaches to Knowledge Representation and AI
- Knowledge engineering problems
- Knowledge without representation
- Representing knowledge using maps
- Representing knowledge using event maps
- Representing knowledge using rules and logic
- Reasoning using rules and logic
- Knowledge and reasoning using frames
- Knowledge and reasoning using decision trees
- Knowledge and reasoning using semantic networks
- Summary and Discussion
- Intelligence
- The nature of intelligence
- Intelligence without representation and reason
- What AI can and can’t do
- The Need for Design Objectives for Artificial Intelligence
- What are Good Objectives?
- Some Design Objectives for Artificial Intelligence
- Towards believable agents
- Towards computers with problem solving ability
- Summary and Discussion
- References