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Planning with Markov Decision Processes
Markov Decision Processes (MDPs) are widely popular in Artificial Intelligence for modeling sequential decision-making scenarios with probabilistic dynamics. They are the framework of choice when designing an intelligent agent that needs to act for long periods of time in an environment where its actions could have uncertain outcomes. MDPs are actively researched in two related subareas of AI, probabilistic planning and reinforcement learning. Probabilistic planning assumes known models for the agent's goals and domain dynamics, and focuses on determining how the agent should behave to achieve its objectives. On the other hand, reinforcement learning additionally learns these models based on...
ECAI 2012
Artificial intelligence (AI) plays a vital part in the continued development of computer science and informatics. The AI applications employed in fields such as medicine, economics, linguistics, philosophy, psychology and logical analysis, not forgetting industry, are now indispensable for the effective functioning of a multitude of systems. This book presents the papers from the 20th biennial European Conference on Artificial Intelligence, ECAI 2012, held in Montpellier, France, in August 2012. The ECAI conference remains Europe's principal opportunity for researchers and practitioners of Artificial Intelligence to gather and to discuss the latest trends and challenges in all subfields of A...
STAIRS 2014
Artificial Intelligence is a field which continues to expand and develop rapidly, and so it is also one in which original ideas and fresh perspectives are of particular interest. The Starting AI Researcher Symposium (STAIRS) is an international meeting which supports Ph.D. students and those who have held a Ph.D. for less than one year, from all over the world, at the start of their career. The symposium offers doctoral students and young postdoctoral AI fellows the chance to experience delivering a presentation of their work in a supportive environment. This book presents papers from the Seventh STAIRS, a satellite event of the 21st European Conference on Artificial Intelligence (ECAI) held...
A Formal Theory of Commonsense Psychology
This book formalizes commonsense knowledge to enable artificial intelligence to understand and engage with the mental lives of people.
Principles and Practice of Constraint Programming - CP 2002
This book constitutes the refereed proceedings of the 8th International Conference on Principles and Practice of Constraint Programming, CP 2002, held in Ithaca, NY, USA in September 2002. The 38 revised full papers and 6 innovative application papers as well as the 14 short papers presented toghether with 25 abstracts from contributions to the doctoral program were carefully reviewed and selected from 146 submissions. All current issues in constraint processing are addressed, ranging from theoretical and foundational issues to application in various fields.
STAIRS 2016
As a vibrant area of computer science which continues to develop rapidly, AI is a field in which fresh ideas and new perspectives are of particular interest. This book presents the proceedings of the 8th European Starting AI Researcher Symposium (STAIRS 2016), held as a satellite event of the 22nd European Conference on Artificial Intelligence (ECAI) in The Hague, the Netherlands, in August 2016. What is unique about the STAIRS symposium is that the principal author of every submitted paper must be a young researcher who either does not yet hold a Ph.D., or who has obtained their Ph.D. during the year before the submission deadline for papers. The book contains 21 accepted papers; Part I inc...
Computer Algebra Recipes for Classical Mechanics
This is a standalone, but the recipes are correlated with topics found in standard texts, and make use of MAPLE (Release 7). As a reference text, or self-study guide this book is useful for science professionals and engineers.; Good for the classroom correlates with topics found in standard classical mechanics texts.; This book makes use of the powerful computer algebra system MAPLE (Release 7) but no prior knowledge of MAPLE is presumed.; The relevant command structures are explained on a need-to-know basis as the recipes are developed, thus making this a standalone text.
3D Modeling with Data-driven Suggestions
Creating detailed three-dimensional shapes on the computer is hard. The standard tools for the task are complex and require long training and familiarization. As a result, 3D modeling is typically the domain of the professional artist and not the casual user. Professionals invest the time to master their tools, but such tools are usually restricted to low-level sculpting operations. High-level reasoning and geometric manipulation, of which computers are well capable, are not used to help the artist reach her goals more efficiently or creatively. In this dissertation, I propose techniques by which computers, endowed with a greater understanding of the structure of shapes, can both support the...
Machine Learning: ECML 2005
This book constitutes the refereed proceedings of the 16th European Conference on Machine Learning, ECML 2005, jointly held with PKDD 2005 in Porto, Portugal, in October 2005. The 40 revised full papers and 32 revised short papers presented together with abstracts of 6 invited talks were carefully reviewed and selected from 335 papers submitted to ECML and 30 papers submitted to both, ECML and PKDD. The papers present a wealth of new results in the area and address all current issues in machine learning.
