Fabrizio Riguzzi
Foundations of Probabilistic Logic Programming: Languages, Semantics, Inference and Learning
Foundations of Probabilistic Logic Programming: Languages, Semantics, Inference and Learning
💎 Earn 547 Points (£5.47) on this item.
YOU SAVE £5.52
- Condition: Brand new
- UK Delivery times: Usually arrives within 2 - 3 working days
- UK Shipping: Fee starts at £2.39. Subject to product weight & dimension
Bulk ordering. Want 15 or more copies? Get a personalised quote and bigger discounts. Learn more about bulk orders.
Couldn't load pickup availability
- More about Foundations of Probabilistic Logic Programming: Languages, Semantics, Inference and Learning
Probabilistic Logic Programming has seen a steady increase of activity, with many proposals for languages and algorithms for inference and learning. This 2nd edition aims to report the most exciting novelties in the field since the publication of the 1st edition, including semantics for hybrid programs, Probabilistic Answer Set Programming, algorithms for solving the MPE and MAP tasks, and neuro-symbolic integration.
Format: Hardback
Length: 506 pages
Publication date: 07 July 2023
Publisher: River Publishers
The field of Probabilistic Logic Programming has experienced a remarkable surge in activity since its inception, with a multitude of proposals for languages and algorithms for inference and learning. This comprehensive book aims to provide a comprehensive overview of the field, with a special focus on languages under the Distribution Semantics approach, one of the most influential paradigms. The book presents the fundamental concepts of semantics, inference, and learning, while also highlighting the connections between these methods. Numerous examples throughout the book include a link to a web application http://cplint.eu, where the code can be executed online. The 2nd edition of this book endeavors to report the most exciting novelties in the field since the publication of the 1st edition. The semantics for hybrid programs with function symbols has been firmly established, while Probabilistic Answer Set Programming has gained significant attention alongside the studies on inference complexity. Algorithms for solving the Minimum Perturbation and Maximum A Posteriori tasks are now readily available. Inference for hybrid programs has undergone a dramatic transformation with the introduction of Weighted Model Integration.
With respect to learning, the first approaches for neuro-symbolic integration have emerged, accompanied by algorithms for learning the structure of hybrid programs. Moreover, in light of the cost associated with learning Probabilistic Logic Programs, various works have proposed language restrictions to enhance learning speed and scalability.
Weight: 1170g
Dimension: 234 x 156 (mm)
ISBN-13: 9788770227193
Edition number: 2 ed
This item can be found in:
UK and International shipping information
UK and International shipping information
UK Delivery and returns information:
- Delivery within 2 - 3 days when ordering in the UK.
- Shipping fee for UK customers from £2.39. Fully tracked shipping service available.
- Returns policy: Return within 30 days of receipt for full refund.
International deliveries:
Shulph Ink now ships to Australia, Belgium, Canada, France, Germany, Ireland, Italy, India, Luxembourg Saudi Arabia, Singapore, Spain, Netherlands, New Zealand, United Arab Emirates, United States of America.
- Delivery times: within 5 - 10 days for international orders.
- Shipping fee: charges vary for overseas orders. Only tracked services are available for most international orders. Some countries have untracked shipping options.
- Customs charges: If ordering to addresses outside the United Kingdom, you may or may not incur additional customs and duties fees during local delivery.
