Markov logic an interface layer for artificial intelligence /

• Main Author: Domingos, Pedro.
• Other Authors: Lowd, Daniel.
• Format: Electronic
• Language: English
• Published: San Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA) : Morgan & Claypool Publishers, c2009.
• Series: Synthesis lectures on artificial intelligence and machine learning (Online), # 7.
• Subjects: Artificial intelligence > Data processing.; Interface circuits.; Markov processes.
• Online Access: Abstract with links to full text

Most subfields of computer science have an interface layer via which applications communicate with the infrastructure, and this is key to their success (e.g., the Internet in networking, the relational model in databases, etc.). So far this interface layer has been missing in AI. First-order logic a...

Table of Contents:

• Introduction
• The interface layer
• What is the interface layer for AI
• Markov logic and alchemy: an emerging solution
• Overview of the book
• Markov logic
• First-order logic
• Markov networks
• Markov logic
• Relation to other approaches
• Inference
• Inferring the most probable explanation
• Computing conditional probabilities
• Lazy inference
• Lifted inference
• Learning
• Weight learning
• Structure learning and theory revision
• Unsupervised learning
• Transfer learning
• Extensions
• Continuous domains
• Infinite domains
• Recursive Markov logic
• Relational decision theory
• Applications
• Collective classification
• Social network analysis and link prediction
• Entity resolution
• Information extraction
• Unsupervised coreference resolution
• Robot mapping
• Link-based clustering
• Semantic network extraction from text
• Conclusion
• The alchemy system
• Input files
• Inference
• Weight learning
• Structure learning
• Bibliography
• Biography.