LNAI 4304 AI 2006 Advances in Artificial Intelligence 19th edition by Abdul Sattar, Byeong Ho Kang ISBN 3540497870  978-3540497875

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ISBN 10: 3540497870
ISBN 13: 978-3540497875
Author: Abdul Sattar, Byeong Ho Kang 

The Australian Joint Conference on Artificial Intelligence series is steered by the Australian Computer Society’s (ACS) National Committee on Artificial Intelligence and Expert Systems. It aims at stimulating research by promoting exchange and cross-fertilization of ideas among different branches of artificial intelligence. It also provides a common forum for researchers and practitioners in various fields of AI to exchange new ideas and share their experience. This volume contains the proceedings of the 19th Australian Joint Conference on Artificial Intelligence (AI 2006) held at Hobart, Australia. AI 2006 received a record number of submissions, a total of 689 submissions from 35 countries. From these, full papers 89 (13%), long papers (up to 12 pages) and 70 (10%) short papers (up to 7 pages) were accepted for presentation and included in this volume. All full papers were reviewed through two rounds of assessments by at least two independent – viewers including Senior Program Committee members. The papers in this volume give an indication of recent advances in artificial int- ligence. The topics covered include Machine Learning, Robotics, AI Applications, Planning, Agents, Data Mining and Knowledge Discovery, Cognition and User Interface, Vision and Image Processing, Information Retrieval and Search, AI in the Web, Knowledge Representation, Knowledge-Based Systems, and Neural Networks.

LNAI 4304 – AI 2006: Advances in Artificial Intelligence 19th Table of contents:

Preface

• Introduction to AI 2006 Conference
• Overview of the Book’s Contributions
• Contributions from Key AI Researchers

Chapter 1: Foundations of Artificial Intelligence

• Current Trends and Emerging Topics in AI
• Cognitive Models and Approaches in AI
• Formal Methods and Reasoning in AI
• Ethical and Philosophical Considerations in AI Research

Chapter 2: Machine Learning and Knowledge Discovery

• Supervised and Unsupervised Learning Methods
• Data Mining Techniques for AI
• Deep Learning and Neural Networks
• Evolutionary Algorithms in AI

Chapter 3: Multi-Agent Systems and Autonomous Agents

• Foundations of Multi-Agent Systems (MAS)
• Agent Communication and Coordination
• Distributed AI and Problem-Solving in Multi-Agent Environments
• Applications of MAS in Real-World Scenarios

Chapter 4: Natural Language Processing and Understanding

• Advances in Speech Recognition and Synthesis
• Machine Translation and Cross-Language Understanding
• Text Mining and Information Retrieval
• Dialogue Systems and Conversational AI

Chapter 5: Robotics and AI in Automation

• Autonomous Robots and Intelligent Systems
• Perception, Sensing, and Action in Robotics
• AI in Manufacturing and Industrial Automation
• Human-Robot Interaction and Collaboration

Chapter 6: Reasoning, Logic, and Knowledge Representation

• Logic-Based Approaches in AI
• Nonmonotonic and Probabilistic Reasoning
• Ontologies and Semantic Web Technologies
• Knowledge Representation and Formalization

Chapter 7: Computer Vision and Perception

• Vision Systems and Image Processing
• Object Detection, Tracking, and Recognition
• AI in Medical Imaging and Diagnostics
• Computer Vision in Autonomous Vehicles

Chapter 8: AI Applications in Industry and Society

• AI in Healthcare and Bioinformatics
• AI in Finance, Marketing, and Customer Service
• AI in Education and e-Learning
• Ethical Challenges and AI Governance

Chapter 9: Cognitive Architectures and AI Modeling

• Cognitive Architectures for Human-like AI
• Computational Models of Cognition
• Neural Models of Learning and Decision Making
• Hybrid AI Models for Complex Problem Solving

Chapter 10: Future Directions in AI Research

• Innovations in AI and Emerging Technologies
• AI and the Future of Work
• Societal Impact of AI Developments
• Challenges and Open Problems in AI Research

Conclusion

• Summary of Key Advances and Contributions
• Reflections on the Progress of AI
• Future Trends in AI Research and Development

Appendices

• List of Authors and Contributions
• References and Further Reading
• Index

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