Artificial Intelligence – Agent Behaviour
Publisher: Bookboon.com
Published: 2013
ISBN-13: 9788776815592
Table of contents: title: Content; title: 1. Behaviour; title: 1.1. What is behaviour?; title: 1.2. Reactive versus Cognitive Agents; title: 1.3. Emergence, Self-organisation, Adaptivity and Evolution; title: 1.4. The Frame of Reference Problem; title: 1.5. Stigmergy and Swarm Intelligence; title: 1.6. Implementing behaviour of Turtle Agents in NetLogo; title: 1.7. Boids; title: 1.8. Summary; title: 2. Communication; title: 2.1. Communication, Information and Language; title: 2.2. The diversity of human language; title: 2.3. Communication via communities of agents; title: 2.4. Communicating Behaviour; title: 2.5. The Small World Phenomenon and Dijkstra’s algorithm; title: 2.6. Using communicating agents for searching networks; title: 2.7. Entropy and Information; title: 2.8. Calculating Entropy in NetLogo; title: 2.9. Language Modelling; title: 2.10. Entropy of a Language; title: 2.11. Communicating Meaning; title: 2.12. Summary; title: 3. Search; title: 3.1. Search Behaviour; title: 3.2. Search Problems; title: 3.3. Uninformed (blind) search; title: 3.4. Implementing uninformed search in NetLogo; title: 3.5. Search as behaviour selection; title: 3.6. Informed search; title: 3.7. Local search and optimisation; title: 3.8. Comparing the search behaviours; title: 3.9. Summary and Discussion; title: 4. Knowledge; title: 4.1. Knowledge and Knowledge-based Systems; title: 4.2. Knowledge as justified true belief; title: 4.3. Different types of knowledge; title: 4.4. Some approaches to Knowledge Representation and AI; title: 4.5. Knowledge engineering problems; title: 4.6. Knowledge without representation; title: 4.7. Representing knowledge using maps; title: 4.8. Representing knowledge using event maps; title: 4.9. Representing knowledge using rules and logic; title: 4.10. Reasoning using rules and logic; title: 4.11. Knowledge and reasoning using frames; title: 4.12. Knowledge and reasoning using decision trees; title: 4.13. Knowledge and reasoning using semantic networks; title: 4.14. Summary and Discussion; title: 5. Intelligence; title: 5.1. The nature of intelligence; title: 5.2. Intelligence without representation and reason; title: 5.3. What AI can and can’t do; title: 5.4. The Need for Design Objectives for Artificial Intelligence; title: 5.5. What are Good Objectives?; title: 5.6. Some Design Objectives for Artificial Intelligence; title: 5.7. Towards believable agents; title: 5.8. Towards computers with problem solving ability; title: 5.9. Summary and Discussion; title: 6. References