Methods and Applications of Artificial Intelligence 1st edition by George Vouros, Themistoklis Panayiotopoulos ISBN ‎ 3540219374 978-3540219378
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Authors:George A. Vouros; Themistoklis Panayiotopoulos , Author sort:Vouros, George A. & Panayiotopoulos, Themistoklis , Published:Published:Apr 2005
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ISBN 10: 3540219374
ISBN 13: 978-3540219378
Author: George Vouros, Themistoklis Panayiotopoulos
Arti?cial intelligence has attracted a renewed interest from distinguished sci- tists and has again raised new, more realistic this time, expectations for future advances regarding the development of theories, models and techniques and the use of them in applications pervading many areas of our daily life. The borders of human-level intelligence are still very far away and possibly unknown. Nev- theless, recent scienti?c work inspires us to work even harder in our exploration of the unknown lands of intelligence. This volume contains papers selected for presentation at the 3rd Hellenic Conference on Arti?cial Intelligence (SETN 2004), the o?cial meeting of the Hellenic Society for Arti?cial Intelligence (EETN). The ?rst meeting was held in the University of Piraeus, 1996 and the second in the Aristotle University of Thessaloniki (AUTH), 2002. SETN conferences play an important role in the dissemination of the in- vative and high-quality scienti?c results in arti?cial intelligence which are being produced mainly by Greek scientists in institutes all over the world. However, the most important e?ect of SETN conferences is that they provide the context in which people meet and get to know each other, as well as a very good opp- tunity for students to get closer to the results of innovative arti?cial intelligence research.
Methods and Applications of Artificial Intelligence 1st Table of contents:
Preface
- Introduction to the Book
- Overview of Key Themes
- How to Use This Book
- Acknowledgments
Chapter 1: Introduction to Artificial Intelligence
- What is Artificial Intelligence?
- Historical Overview of AI
- Key Concepts in AI
- Types of AI: Narrow AI vs. General AI
- Major Applications of AI
Chapter 2: Problem Solving and Search Algorithms
- Problem-Solving Techniques
- Classical Search Methods (BFS, DFS, A*)
- Heuristic Search Algorithms
- Optimization and Constraint Satisfaction Problems
- Real-World Applications of Search Algorithms
Chapter 3: Knowledge Representation
- Overview of Knowledge Representation
- Propositional and First-Order Logic
- Semantic Networks and Frames
- Ontologies and Their Role in AI
- Knowledge Graphs and Applications
Chapter 4: Machine Learning Methods
- Supervised Learning Algorithms
- Unsupervised Learning Techniques
- Reinforcement Learning
- Evaluation Metrics for Machine Learning Models
- Deep Learning Basics and Applications
Chapter 5: Natural Language Processing (NLP)
- Fundamentals of NLP
- Syntax, Semantics, and Pragmatics
- Text Representation Models (e.g., Word Embeddings)
- NLP Tasks: Sentiment Analysis, Named Entity Recognition
- Machine Translation and Speech Recognition
Chapter 6: Computer Vision and Image Processing
- Introduction to Computer Vision
- Image Segmentation and Object Detection
- Feature Extraction and Matching Techniques
- Convolutional Neural Networks (CNNs)
- Applications in Medical Imaging, Autonomous Vehicles, and More
Chapter 7: Expert Systems and Decision Support Systems
- Structure of Expert Systems
- Knowledge-Based Systems and Inference Engines
- Rule-Based Systems for Decision Making
- Applications in Medicine, Finance, and Engineering
Chapter 8: Robotics and Autonomous Systems
- Basics of Robotics in AI
- Perception and Action in Robots
- Robot Motion Planning
- Autonomous Vehicles
- Human-Robot Interaction
Chapter 9: Multi-Agent Systems and Distributed AI
- Fundamentals of Multi-Agent Systems (MAS)
- Agent-Based Modeling and Simulation
- Cooperative vs. Competitive Agents
- Applications in Game Theory, Economics, and Simulation
Chapter 10: Ethical and Social Implications of AI
- Ethical Issues in AI Development
- Privacy Concerns and Data Security
- Bias and Fairness in AI Algorithms
- AI and Job Displacement
- Regulatory and Policy Considerations
Chapter 11: AI Applications in Industry
- AI in Healthcare: Diagnostics and Personalized Medicine
- AI in Finance: Fraud Detection and Algorithmic Trading
- AI in Manufacturing: Smart Factories and Automation
- AI in Marketing and Customer Service
Chapter 12: Future Directions in AI
- Emerging Trends in AI Research
- AI in the Internet of Things (IoT)
- AI and Quantum Computing
- The Future of AI in Society
- Challenges and Opportunities Ahead
Index
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