Integrating Logic and Statistics

Integrating logic and probability has a long story inArtificial Intelligence and Machine Learning. Thisbook attempts the challenge of exploring anddeveloping high performing algorithms for astate-of-the-art model that integrates first-orderlogic and probability. However, much remains to bedone until AI systems will reach human intelligence.A powerful language to achieve this is Markov Logicwhich embodies the experience and successes ofvarious subfields of AI and Statistics. It allows toexpress complexity and uncertainty, just as humanswould do in complex environments. Moreover, complexmodels that reflect real-world phenomena can belearned efficiently from examples and powerfulinference algorithms can be used to answer queriesabout the world. This book makes an effort towardsbuilding powerful algorithms for these two tasks.Thus it is hoped that it will constitute another stepforward in our attempt to better understand and buildintelligent systems.