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An Introduction to the Planning Domain Definition Language
Planning is the branch of Artificial Intelligence (AI) that seeks to automate reasoning about plans, most importantly the reasoning that goes into formulating a plan to achieve a given goal in a given situation. AI planning is model-based: a planning system takes as input a description (or model) of the initial situation, the actions available to change it, and the goal condition to output a plan composed of those actions that will accomplish the goal when executed from the initial situation. The Planning Domain Definition Language (PDDL) is a formal knowledge representation language designed to express planning models. Developed by the planning research community as a means of facilitating ...
Transfer Learning for Multiagent Reinforcement Learning Systems
Learning to solve sequential decision-making tasks is difficult. Humans take years exploring the environment essentially in a random way until they are able to reason, solve difficult tasks, and collaborate with other humans towards a common goal. Artificial Intelligent agents are like humans in this aspect. Reinforcement Learning (RL) is a well-known technique to train autonomous agents through interactions with the environment. Unfortunately, the learning process has a high sample complexity to infer an effective actuation policy, especially when multiple agents are simultaneously actuating in the environment. However, previous knowledge can be leveraged to accelerate learning and enable s...
Acadian Descendants
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Ma MacDonald
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Probabilistic Databases
Probabilistic databases are databases where the value of some attributes or the presence of some records are uncertain and known only with some probability. Applications in many areas such as information extraction, RFID and scientific data management, data cleaning, data integration, and financial risk assessment produce large volumes of uncertain data, which are best modeled and processed by a probabilistic database. This book presents the state of the art in representation formalisms and query processing techniques for probabilistic data. It starts by discussing the basic principles for representing large probabilistic databases, by decomposing them into tuple-independent tables, block-in...
Metabolism and Metabolomics of Liver in Health and Disease
Women and men have probably never been concerned as much by their health as during this COVID-19 pandemic. In this context, lifestyle habits continue to be promoted as allies for daily prevention against diseases. This is valid also for metabolic diseases, among which many affect the liver and are risk factors for aggravating the disease course of COVID-19. In fact, liver diseases are currently a major global health problem. There is a huge range of liver diseases and non-alcoholic fatty liver disease (NAFLD) is the most common chronic hepatic condition, which in some patients progresses to cirrhosis and liver cancer. Currently, substantial efforts are being made to better understand NAFLD, ...
Transcription Factors and Human Disease
Several general principles have emerged from the study of human transcription factors. First, germline mutations in genes encoding transcription factors result in malformation syndromes in which the development of multiple body structures is affected. Second, somatic mutations involving many of the same genes contribute to tumorigenesis. Third, transcriptional regulatory mechanisms demonstrate remarkable evolutionary conservation. Fourth, prenatal development and postnatal physiology are unified by the demonstration that a single transription factor can control the proliferation of progenitor cells during development and the expression within the differentiated cells of gene products that pa...
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