Image Classification and Recognition for quality control, damage assessment, area monitoring and change recognition. Natural Language Processing for more efficient document extraction and better business operations.Wu discussed how Oil & Gas companies can take advantage of recent breakthroughs to solve real business problems with AI, by putting powerful AI tools in the hands of business SMEs to build their own models. Recorded LIVE at Intelligent Automation in Oil & Gas Online 2020, Dr. Since then he has been deeply enmeshed in helping machines and humans communicate in natural language. In 2005 he began working at Ask.com, one of the first search engines to respond to questions in natural language rather than with traditional keyword search. Tianhao Wu, PhD, has been a data scientist for more than 15 years. The energy sector is ripe for Al applications due to the availability of vast amounts of historical data records and new data streams coming from various channels and formats. Artificial Intelligence can refine that data to optimize your business operations. Norvig, Peter (2003), Artificial Intelligence: A Modern Approach (2nd ed.Oil & Gas companies have three significant data streams that are either processed manually or ignored: document data, image data, and time series data. "On the Complexity of Blocks-World Planning" (PDF). Eighth Symposium on Abstraction, Reformulation, and Approximation. Downward path preserving state space abstractions. ^ Zilles, Sandra Holte, Robert C (2009)."A Complete Axiomatization for Blocks World". AAAI Proceedings of the ninth national conference on Artificial Intelligence. ^ John Slaney and Sylvie Thiébaux (2001).Therefore, the task of stapling blocks is a blocks world domain which stays in contrast to other planning problems like the dock worker robot domain and the monkey and banana problem. If something was formulated in the PDDL notation, it is called a domain. The task is to bring the system from an initial state into a goal state.Īutomated planning and scheduling problem are usually described in the Planning Domain Definition Language ( PDDL) notation which is an AI planning language for symbolic manipulation tasks. From an algorithm perspective, blocks world is an np-hard search and planning problem. More complicated derivatives of the problem consist of cubes in different sizes, shapes and colors. A mechanical robot arm has to pick and place the cubes. In its basic form, the blocks world problem consists of cubes in the same size which have all the color black. This allows to compare different theories against each other. Its major advantage over more realistic AI applications is, that many algorithms and software programs are available which can handle the situation. The blocks world domain is an example for a toy problem. Toy problems were invented with the aim to program an AI which can solve it. Instead of rejecting the challenge at all the idea is to invent an easy to solve domain which is called a toy problem. The problem with most practical application is, that the engineers don't know how to program an AI system. The simplicity of this toy world lends itself readily to classical symbolic artificial intelligence approaches, in which the world is modeled as a set of abstract symbols which may be reasoned about.Īrtificial Intelligence can be researched in theory and with practical applications. Moreover, some kinds of blocks cannot have other blocks stacked on top of them. Because of this, any blocks that are, at a given time, under another block cannot be moved. Only one block may be moved at a time: it may either be placed on the table or placed atop another block. The goal is to build one or more vertical stacks of blocks. The algorithm is similar to a set of wooden blocks of various shapes and colors sitting on a table. The blocks world is a planning domain in artificial intelligence. Toy problem in artificial intelligence research
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