Logic For Artificial Intelligence And Information Technology

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Logic for Artificial Intelligence and Information Technology

Author : Dov M. Gabbay
Publisher :
ISBN 13 : 9781904987390
Total Pages : 584 pages
Book Rating : 4.9/5 (873 download)

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Book Synopsis Logic for Artificial Intelligence and Information Technology by : Dov M. Gabbay

Download or read book Logic for Artificial Intelligence and Information Technology written by Dov M. Gabbay and published by . This book was released on 2007 with total page 584 pages. Available in PDF, EPUB and Kindle. Book excerpt: Logic for Artificial Intelligence and Information Technology is based on student notes used to teach logic to second year undergraduates and Artificial Intelligence to graduate students at the University of London since1984, first at Imperial College and later at King's College. Logic has been applied to a wide variety of subjects such as theoretical computer science, software engineering, hardware design, logic programming, computational linguistics and artificial intelligence. In this way it has served to stimulate the research for clear conceptual foundations. Over the past 20 years many extensions of classical logic such as temporal, modal, relevance, fuzzy, probabilistic and non-monotoinic logics have been widely used in computer science and artificial intelligence, therefore requiring new formulations of classical logic, which can be modified to yield the effect of the new applied logics. The text introduces classical logic in a goal directed way which can easily deviate into discussing other applied logics. It defines the many types of logics and differences between them. Dov Gabbay, FRSC, FAvH, FRSA, FBCS, is Augustus De Morgan Professor of Logic at the University of London. He has written over 300 papers in logic and over 20 books. He is Editor-in-Chief of several leading journals and has published over 50 handbooks of logic volumes. He is a world authority on applied logics and is one of the directors and founder of the UK charity the International Federation of Computational Logic

Logic for Computer Science and Artificial Intelligence

Author : Ricardo Caferra
Publisher : John Wiley & Sons
ISBN 13 : 1118604261
Total Pages : 378 pages
Book Rating : 4.1/5 (186 download)

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Book Synopsis Logic for Computer Science and Artificial Intelligence by : Ricardo Caferra

Download or read book Logic for Computer Science and Artificial Intelligence written by Ricardo Caferra and published by John Wiley & Sons. This book was released on 2013-02-04 with total page 378 pages. Available in PDF, EPUB and Kindle. Book excerpt: Logic and its components (propositional, first-order, non-classical) play a key role in Computer Science and Artificial Intelligence. While a large amount of information exists scattered throughout various media (books, journal articles, webpages, etc.), the diffuse nature of these sources is problematic and logic as a topic benefits from a unified approach. Logic for Computer Science and Artificial Intelligence utilizes this format, surveying the tableaux, resolution, Davis and Putnam methods, logic programming, as well as for example unification and subsumption. For non-classical logics, the translation method is detailed. Logic for Computer Science and Artificial Intelligence is the classroom-tested result of several years of teaching at Grenoble INP (Ensimag). It is conceived to allow self-instruction for a beginner with basic knowledge in Mathematics and Computer Science, but is also highly suitable for use in traditional courses. The reader is guided by clearly motivated concepts, introductions, historical remarks, side notes concerning connections with other disciplines, and numerous exercises, complete with detailed solutions, The title provides the reader with the tools needed to arrive naturally at practical implementations of the concepts and techniques discussed, allowing for the design of algorithms to solve problems.

Logic for Information Technology

Author : Antony Galton
Publisher :
ISBN 13 : 9780783773742
Total Pages : 304 pages
Book Rating : 4.7/5 (737 download)

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Book Synopsis Logic for Information Technology by : Antony Galton

Download or read book Logic for Information Technology written by Antony Galton and published by . This book was released on with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt:

The Myth of Artificial Intelligence

Author : Erik J. Larson
Publisher : Harvard University Press
ISBN 13 : 0674259920
Total Pages : 321 pages
Book Rating : 4.6/5 (742 download)

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Book Synopsis The Myth of Artificial Intelligence by : Erik J. Larson

Download or read book The Myth of Artificial Intelligence written by Erik J. Larson and published by Harvard University Press. This book was released on 2021-04-06 with total page 321 pages. Available in PDF, EPUB and Kindle. Book excerpt: “Exposes the vast gap between the actual science underlying AI and the dramatic claims being made for it.” —John Horgan “If you want to know about AI, read this book...It shows how a supposedly futuristic reverence for Artificial Intelligence retards progress when it denigrates our most irreplaceable resource for any future progress: our own human intelligence.” —Peter Thiel Ever since Alan Turing, AI enthusiasts have equated artificial intelligence with human intelligence. A computer scientist working at the forefront of natural language processing, Erik Larson takes us on a tour of the landscape of AI to reveal why this is a profound mistake. AI works on inductive reasoning, crunching data sets to predict outcomes. But humans don’t correlate data sets. We make conjectures, informed by context and experience. And we haven’t a clue how to program that kind of intuitive reasoning, which lies at the heart of common sense. Futurists insist AI will soon eclipse the capacities of the most gifted mind, but Larson shows how far we are from superintelligence—and what it would take to get there. “Larson worries that we’re making two mistakes at once, defining human intelligence down while overestimating what AI is likely to achieve...Another concern is learned passivity: our tendency to assume that AI will solve problems and our failure, as a result, to cultivate human ingenuity.” —David A. Shaywitz, Wall Street Journal “A convincing case that artificial general intelligence—machine-based intelligence that matches our own—is beyond the capacity of algorithmic machine learning because there is a mismatch between how humans and machines know what they know.” —Sue Halpern, New York Review of Books

Artificial Intelligence for Big Data

Author : Anand Deshpande
Publisher : Packt Publishing Ltd
ISBN 13 : 1788476018
Total Pages : 371 pages
Book Rating : 4.7/5 (884 download)

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Book Synopsis Artificial Intelligence for Big Data by : Anand Deshpande

Download or read book Artificial Intelligence for Big Data written by Anand Deshpande and published by Packt Publishing Ltd. This book was released on 2018-05-22 with total page 371 pages. Available in PDF, EPUB and Kindle. Book excerpt: Build next-generation Artificial Intelligence systems with Java Key Features Implement AI techniques to build smart applications using Deeplearning4j Perform big data analytics to derive quality insights using Spark MLlib Create self-learning systems using neural networks, NLP, and reinforcement learning Book Description In this age of big data, companies have larger amount of consumer data than ever before, far more than what the current technologies can ever hope to keep up with. However, Artificial Intelligence closes the gap by moving past human limitations in order to analyze data. With the help of Artificial Intelligence for big data, you will learn to use Machine Learning algorithms such as k-means, SVM, RBF, and regression to perform advanced data analysis. You will understand the current status of Machine and Deep Learning techniques to work on Genetic and Neuro-Fuzzy algorithms. In addition, you will explore how to develop Artificial Intelligence algorithms to learn from data, why they are necessary, and how they can help solve real-world problems. By the end of this book, you'll have learned how to implement various Artificial Intelligence algorithms for your big data systems and integrate them into your product offerings such as reinforcement learning, natural language processing, image recognition, genetic algorithms, and fuzzy logic systems. What you will learn Manage Artificial Intelligence techniques for big data with Java Build smart systems to analyze data for enhanced customer experience Learn to use Artificial Intelligence frameworks for big data Understand complex problems with algorithms and Neuro-Fuzzy systems Design stratagems to leverage data using Machine Learning process Apply Deep Learning techniques to prepare data for modeling Construct models that learn from data using open source tools Analyze big data problems using scalable Machine Learning algorithms Who this book is for This book is for you if you are a data scientist, big data professional, or novice who has basic knowledge of big data and wish to get proficiency in Artificial Intelligence techniques for big data. Some competence in mathematics is an added advantage in the field of elementary linear algebra and calculus.

Artificial Intelligence and Computing Logic

Author : Cyrus F. Nourani
Publisher : CRC Press
ISBN 13 : 1000400905
Total Pages : 273 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Artificial Intelligence and Computing Logic by : Cyrus F. Nourani

Download or read book Artificial Intelligence and Computing Logic written by Cyrus F. Nourani and published by CRC Press. This book was released on 2021-12-23 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: Focusing on the cutting-edge applications of AI cognitive computing from neuromorphic to quantum cognition as applied to AI business analytics, this new volume explores AI’s importance in managing cognitive processes along with ontological modeling concepts for venturing into new business frontiers. The volume presents a selection of significant new accomplishments in the areas of AI cognitive computing ranging from neurocognition perception and decision-making in the human brain—combining neurocognitive techniques and effective computing—to basic facial recognition computing models. Topics include: Agent neurocomputing techniques for facial expression recognition Computing haptic motion and ontology epistemic Characterizations of morph schemas for visual analytics Learning and perceptive computing Functional and structural neuroimaging modeling Observed links between facial recognition and affective emotional processes Interaction of cognitive and emotional processes during social decision-making Neurocognitive processing of emotional facial expressions in individuals Neurocognitive affective system for emotive robot androids Virtual reality-based affect adaptive neuromorphic computing Executive surveys indicate that cognitive adoption is very important in business strategy for success and to remain competitive. Employing cognitive-based processes provides the way to get the right information in the right hands at the right time, which is the key to winning in the digital era and to driving business value that emphasizes competitive differentiation. Several chapters of the volume address the goal of using cognitive technology to improve search capabilities, to provide personalized customer service in business and in health and wellness, and to create better workflow management. Key features: Looks at the newest frontiers on very popular AI and analytics topics Discusses new techniques for visual analytics and data filtering Shows how AI and cognitive science merges with quantum neurocognitive computing Presents ontology models with ontology preservation data filtering techniques Provides a cross-transposition on AI and digitizations for business model innovations Artificial Intelligence and Computing Logic: Cognitive Technology for AI Business Analytics is a valuable resource that informs businesses and other enterprises the value of artificial intelligence and computing logic applications.

Logics in Artificial Intelligence

Author : Jose Julio Alferes
Publisher : Springer Science & Business Media
ISBN 13 : 3540232427
Total Pages : 757 pages
Book Rating : 4.5/5 (42 download)

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Book Synopsis Logics in Artificial Intelligence by : Jose Julio Alferes

Download or read book Logics in Artificial Intelligence written by Jose Julio Alferes and published by Springer Science & Business Media. This book was released on 2004-09-24 with total page 757 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 9th European Conference on Logics in Artificial Intelligence, JELIA 2004, held in Lisbon, Portugal, in September 2004. The 52 revised full papers and 15 revised systems presentation papers presented together with the abstracts of 3 invited talks were carefully reviewed and selected from a total of 169 submissions. The papers are organized in topical sections on multi-agent systems; logic programming and nonmonotonic reasoning; reasoning under uncertainty; logic programming; actions and causation; complexity; description logics; belief revision; modal, spatial, and temporal logics; theorem proving; and applications.

New Frontiers in Artificial Intelligence

Author : Yukiko Nakano
Publisher : Springer
ISBN 13 : 3319100610
Total Pages : 369 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis New Frontiers in Artificial Intelligence by : Yukiko Nakano

Download or read book New Frontiers in Artificial Intelligence written by Yukiko Nakano and published by Springer. This book was released on 2014-11-05 with total page 369 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-conference proceedings of the JSAI-isAI 2013 Workshops LENLS, JURISIN, MiMI, AAA, and DDS which tool place on October 2013, in Japan. The 28 contributions in this volume were carefully reviewed and selected from 48 submissions. LENLS (Logic and Engineering of Natural Language Semantics) is an annual international workshop on formal semantics and pragmatics. LENLS10 was the tenth event in the series, and it focused on the formal and theoretical aspects of natural language. JURISIN (Juris-Informatics) 2013 was the seventh event in the series. The purpose of this workshop was to discuss fundamental and practical issues for jurisinformatics, bringing together experts from a variety of relevant backgrounds, including law, social science, information and intelligent technology, logic,and philosophy (including the area of AI and law). MiMI (Multimodality in Multiparty Interaction) 2013 covers topics as follows interaction studies, communication studies, conversation analysis, and workplace studies, as well as their applications in other research fields. AAA (Argument for Agreement and Assurance) 2013 focused on the theoretical foundations of argumentation in AI, and the application of argumentation to various fields such as agreement formation and assurance. DDS (Data Discretization and Segmentation for Knowledge Discovery) 2013 discussed segmentation methods for various types of data, such as graphs, trees, strings, and continuous data, and their applications in the areas of Machine Learning and Knowledge Discovery.

Handbook of Logic in Artificial Intelligence and Logic Programming: Volume 5: Logic Programming

Author : Dov M. Gabbay
Publisher : Clarendon Press
ISBN 13 : 0191546283
Total Pages : 818 pages
Book Rating : 4.1/5 (915 download)

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Book Synopsis Handbook of Logic in Artificial Intelligence and Logic Programming: Volume 5: Logic Programming by : Dov M. Gabbay

Download or read book Handbook of Logic in Artificial Intelligence and Logic Programming: Volume 5: Logic Programming written by Dov M. Gabbay and published by Clarendon Press. This book was released on 1998-01-08 with total page 818 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Handbook of Logic in Artificial Intelligence and Logic Programming is a multi-volume work covering all major areas of the application of logic to artificial intelligence and logic programming. The authors are chosen on an international basis and are leaders in the fields covered. Volume 5 is the last in this well-regarded series. Logic is now widely recognized as one of the foundational disciplines of computing. It has found applications in virtually all aspects of the subject, from software and hardware engineering to programming languages and artificial intelligence. In response to the growing need for an in-depth survey of these applications the Handbook of Logic in Artificial Intelligence and its companion, the Handbook of Logic in Computer Science have been created. The Handbooks are a combination of authoritative exposition, comprehensive survey, and fundamental research exploring the underlying themes in the various areas. Some mathematical background is assumed, and much of the material will be of interest to logicians and mathematicians. Volume 5 focuses particularly on logic programming. The chapters, which in many cases are of monograph length and scope, emphasize possible unifying themes.

Inductive Logic Programming

Author : Fabrizio Riguzzi
Publisher : Springer
ISBN 13 : 3319999605
Total Pages : 173 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis Inductive Logic Programming by : Fabrizio Riguzzi

Download or read book Inductive Logic Programming written by Fabrizio Riguzzi and published by Springer. This book was released on 2018-08-24 with total page 173 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed conference proceedings of the 28th International Conference on Inductive Logic Programming, ILP 2018, held in Ferrara, Italy, in September 2018. The 10 full papers presented were carefully reviewed and selected from numerous submissions. Inductive Logic Programming (ILP) is a subfield of machine learning, which originally relied on logic programming as a uniform representation language for expressing examples, background knowledge and hypotheses. Due to its strong representation formalism, based on first-order logic, ILP provides an excellent means for multi-relational learning and data mining, and more generally for learning from structured data.

A Narrative History of Artificial Intelligence

Author : Masayuki Ida
Publisher : Springer Nature
ISBN 13 : 9819707714
Total Pages : 328 pages
Book Rating : 4.8/5 (197 download)

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Book Synopsis A Narrative History of Artificial Intelligence by : Masayuki Ida

Download or read book A Narrative History of Artificial Intelligence written by Masayuki Ida and published by Springer Nature. This book was released on with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt:

ARTIFICIAL INTELLIGENCE

Author : PARAG KULKARNI
Publisher : PHI Learning Pvt. Ltd.
ISBN 13 : 8120350464
Total Pages : 529 pages
Book Rating : 4.1/5 (23 download)

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Book Synopsis ARTIFICIAL INTELLIGENCE by : PARAG KULKARNI

Download or read book ARTIFICIAL INTELLIGENCE written by PARAG KULKARNI and published by PHI Learning Pvt. Ltd.. This book was released on 2015-02-26 with total page 529 pages. Available in PDF, EPUB and Kindle. Book excerpt: There has been a movement over the years to make machines intelligent. With the advent of modern technology, AI has become the core part of day-to-day life. But it is accentuated to have a book that keeps abreast of all the state-of-the-art concepts (pertaining to AI) in simplified, explicit and elegant way, expounding on ample examples so that the beginners are able to comprehend the subject with ease. The book on Artificial Intelligence, dexterously divided into 21 chapters, fully satisfies all these pressing needs. It is intended to put each and every concept related to intelligent system in front of the readers in the most simplified way so that while understanding the basic concepts, they will develop thought process that can contribute to the building of advanced intelligent systems. Various cardinal landmarks pertaining to the subject such as problem solving, search techniques, intelligent agents, constraint satisfaction problems, knowledge representation, planning, machine learning, natural language processing, pattern recognition, game playing, hybrid and fuzzy systems, neural network-based learning and future work and trends in AI are now under the single umbrella of this book, thereby showing a nice blend of theoretical and practical aspects. With all the latest information incorporated and several pedagogical attributes included, this textbook is an invaluable learning tool for the undergraduate and postgraduate students of computer science and engineering, and information technology. KEY FEATURES • Highlights a clear and concise presentation through adequate study material • Follows a systematic approach to explicate fundamentals as well as recent advances in the area • Presents ample relevant problems in the form of multiple choice questions, concept review questions, critical thinking exercise and project work • Incorporates various case studies for major topics as well as numerous industrial examples

New Frontiers in Artificial Intelligence

Author : Setsuya Kurahashi
Publisher : Springer
ISBN 13 : 3319615726
Total Pages : 345 pages
Book Rating : 4.3/5 (196 download)

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Book Synopsis New Frontiers in Artificial Intelligence by : Setsuya Kurahashi

Download or read book New Frontiers in Artificial Intelligence written by Setsuya Kurahashi and published by Springer. This book was released on 2017-07-05 with total page 345 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-conference proceedings of the JSAI-isAI 2016 Workshops, LENLS 13, HAT-MASH, AI-Biz, JURISIN and SKL, held in Kanagawa, Japan, in November 1016. The 22 regular papers presented in this volume were carefully reviewed and selected from 64 submissions. LENLS 13 was the 13th event in the series, and it focused on the formal and theoretical aspects of natural language. LENLS (Logic and Engineering of Natural Language Semantics) is an annual international workshop recognized internationally in the formal syntax-semantics-pragmatics community. It has been bringing together for discussion and interdisciplinary communication researchers working on formal theories of natural language syntax, semantics and pragmatics, (formal) philosophy, artificial intelligence and computational linguistics. HAT-MASH 2016 (Healthy Aging Tech mashup service, data and people) was the second international workshop bridges healthy aging and elderly care technology, information technology and service engineering. The main objective of this workshop was to provide a forum to discuss important research questions and practical challenges in healthy aging and elderly care support to promote transdisciplinary approaches. AI-Biz 2016 (Artificial Intelligence of and for Business) was the first workshop held to foster the concepts and techniques of Business Intelligence (BI) in Artificial Intelligence. BI should include such cutting-edge techniques as data science, agent-based modelling, complex adaptive systems, and IoT. The main purpose of this workshop is to provide a forum to discuss important research questions and practical challenges in Business Intelligence, Business Informatics, Data Analysis and Agent-based Modelling to exchange latest results, to join efforts in solving the common challenges. JURISIN 2016 was the tenth international workshop on Juris-informatics. Juris-informatics is a new research area which studies legal issues from the perspective of informatics. The purpose of this workshop was to discuss both the fundamental and practical issues among people from the various backgrounds such as law, social science, information and intelligent technology, logic and philosophy, including the conventional “AI and law” area. SKL 2016 (The Third International Workshop on Skill Science) was aimed to internationalize the research on skill sciences through organizing the meeting. Human skills involve well-attuned perception and fine motor control, often accompanied by thoughtful planning. The involvement of body, environment, and tools mediating them makes the study of skills unique among researches of human intelligence.

Foundations of Knowledge Base Management

Author : Joachim W. Schmidt
Publisher : Springer Science & Business Media
ISBN 13 : 3642833977
Total Pages : 566 pages
Book Rating : 4.6/5 (428 download)

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Book Synopsis Foundations of Knowledge Base Management by : Joachim W. Schmidt

Download or read book Foundations of Knowledge Base Management written by Joachim W. Schmidt and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 566 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the past, applied artificial intelligence systems were built with particular emphasis on general reasoning methods intended to function efficiently, even when only relatively little domain-specific knowledge was available. In other words, AI technology aimed at the processing of knowledge stored under comparatively general representation schemes. Nowadays, the focus has been redirected to the role played by specific and detailed knowledge, rather than to the reasoning methods themselves. Many new application systems are centered around knowledge bases, i. e. , they are based on large collections offacts, rules, and heuristics that cap ture knowledge about a specific domain of applications. Experience has shown that when used in combination with rich knowledge bases, even simple reasoning methods can be extremely effective in a wide variety of problem domains. Knowledge base construction and management will thus become the key factor in the development of viable knowledge-based ap plications. Knowledge Base Management Systems (KBMSs) are being proposed that provide user-friendly environments for the construction, retrieval, and manipUlation of large shared knowledge bases. In addition to deductive reasoning, KBMSs require operational characteristics such as concurrent access, integrity maintenance, error recovery, security, and perhaps distribution. For the development ofKBMSs, the need to integrate concepts and technologies from different areas, such as Artificial Intel ligence, Databases, and Logic, has been widely recognized. One of the central issues for KBMSs is the framework used for knowledge representation-semantic networks, frames, rules, and logics are proposed by the AI and logic communities.

Artificial Intelligence For Dummies

Author : John Paul Mueller
Publisher : John Wiley & Sons
ISBN 13 : 1119467586
Total Pages : 60 pages
Book Rating : 4.1/5 (194 download)

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Book Synopsis Artificial Intelligence For Dummies by : John Paul Mueller

Download or read book Artificial Intelligence For Dummies written by John Paul Mueller and published by John Wiley & Sons. This book was released on 2018-03-16 with total page 60 pages. Available in PDF, EPUB and Kindle. Book excerpt: Step into the future with AI The term "Artificial Intelligence" has been around since the 1950s, but a lot has changed since then. Today, AI is referenced in the news, books, movies, and TV shows, and the exact definition is often misinterpreted. Artificial Intelligence For Dummies provides a clear introduction to AI and how it’s being used today. Inside, you’ll get a clear overview of the technology, the common misconceptions surrounding it, and a fascinating look at its applications in everything from self-driving cars and drones to its contributions in the medical field. Learn about what AI has contributed to society Explore uses for AI in computer applications Discover the limits of what AI can do Find out about the history of AI The world of AI is fascinating—and this hands-on guide makes it more accessible than ever!

Computational Logic and Human Thinking

Author : Robert Kowalski
Publisher :
ISBN 13 : 9781107214453
Total Pages : 310 pages
Book Rating : 4.2/5 (144 download)

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Book Synopsis Computational Logic and Human Thinking by : Robert Kowalski

Download or read book Computational Logic and Human Thinking written by Robert Kowalski and published by . This book was released on 2011 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: "The practical benefits of computational logic need not be limited to mathematics and computing. As this book shows, ordinary people in their everyday lives can profit from the recent advances that have been developed for artificial intelligence. The book draws upon related developments in various fields from philosophy to psychology and law. It pays special attention to the integration of logic with decision theory, and the use of logic to improve the clarity and coherence of communication in natural languages such as English. This book is essential reading for teachers and researchers who may be out of touch with the latest developments in computational logic. It will also be useful in any undergraduate course that teaches practical thinking, problem solving or communication skills. Its informal presentation makes the book accessible to readers from any background, but optional, more formal, chapters are also included for those who are more technically oriented"--

Logics in Artificial Intelligence

Author : Loizos Michael
Publisher : Springer
ISBN 13 : 3319487582
Total Pages : 602 pages
Book Rating : 4.3/5 (194 download)

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Book Synopsis Logics in Artificial Intelligence by : Loizos Michael

Download or read book Logics in Artificial Intelligence written by Loizos Michael and published by Springer. This book was released on 2016-11-02 with total page 602 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 15th European Conference on Logics in Artificial Intelligence, JELIA 2016, held in Larnaca, Cyprus, in November 2015. The 32 full papers and 10 short papers included in this volume were carefully reviewed and selected from 88 submissions. The accepted papers span a number of areas within Logics in AI, including: belief revision, answer set programming, argumentation, probabilistic reasoning, handling inconsistencies, temporal logics and planning, description logics, and decidability and complexity results.