AI Planning
Knowledge engineering: issues for the AI planning community
... University of Huddersfield Repository McCluskey, T L Knowledge engineering issues for the AI planning community Original Citation McCluskey, T L (2002) Knowledge engineering issues for the AI planning[.] ...
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Generating Java Unit Tests with AI Planning
... Unit testing is an effective way to find bugs in programs. Automating the generation of unit tests greatly decreases the difficulty of applying unit testing to software with many com- plex components. Many approaches to ...
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From OpenCCG to AI Planning: Detecting Infeasible Edges in Sentence Generation
... to AI Planning in that, at least as far as grammatical and semantic correctness is concerned, it is essentially a reachability problem in a large discrete transition ...delete-free planning which is ...
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A Personalized Emotional Intelligent Tutoring System. Based on AI Planning
... on AI planning to structured representation of the domain knowledge and allowing explicit rep- resentation of teaching rules as if then ...Content Planning and Delivery Planning based on ...
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Security conscious ai-planning based composition of semantic web services
... 5.1.2 AI-planning-based ...on AI-planning have been presented to solve the problem of ...of planning is to find which actions to apply to which states in order to achieve some ...
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The International planning competition series and empirical evaluation of AI planning systems
... of AI planning technology in the past eight ...the AI community, where they are, in our experience, less well known and even less widely ...of planning systems, both in the expressiveness of ...
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Towards inducing hierarchical task network domain models for AI planning from examples
... Domain modelling for AI Planning aims to form a database of facts about the ‘world’ being modelled. This can be a complex process especially if there is a large number of objects or actions or both to be ...
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The Interplay of User Centered Dialog Systems and AI Planning
... of-the-art AI Planning and the way humans solve problems, as they raise issues for a successful inte- gration of a planner into a ...of AI Planning begins with the statement of a plan- ner ...
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A study of synthesizing artificial intelligence (AI) planning domain models by using object constraints
... Practical planning domains are based on ‘hierarchical task network’ decomposition, and it could be claimed that these systems learn heuristics encapsulated within an HTN ...HTN planning is presented in ...
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Towards explainable AI planning as a service
... the HPlan, with the differences shown in different col- ors. This way of visualising the explanation can help to elucidate how the two plans achieve, or fail to achieve, the (sub)goals of the problem with respect to ...
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Progress in AI Planning Research and Applications
... of planning algorithms, and in the understanding of their formal properties, by means of consideration of these puzzles, planning did not make much progress towards practical appli- cation during these ...
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Technological roadmap on AI planning and scheduling
... mature. AI scheduling (and to a much lesser extent planning) techniques have certainly been used in special purpose business support ...by AI P&S on process management as a discipline or on the ...
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A Policy Memorandum to the Partnership on AI: Accreditation and Educational Programs to Ensure Fairness in AI
... These AI models learn from large data sets, which are unfortunately susceptible to ...emerging AI technologies, we propose for the Partnership on AI—a nonprofit consortium of leading tech companies, ...
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Envisioning AI for K-12: What Should Every Child Know about AI?
... of AI in society means the time is ripe to consider what educated 21st century digital citizens should know about this ...teaching AI to K-12 ...the AI for K-12 guidelines will define what students ...
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Ai Cart System
... In decision tree learning, ID3 (Iterative Dichotomiser 3) is a calculation developed by Ross Quinlan used to create a choice tree from a dataset. An ID3 calculation normally used in the AI and characteristic ...
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Stakeholders in explainable AI
... on AI explainability/interpretability, whereas our fourth generally does ...an AI system. Consider an insurance company that uses an AI tool to help decide whether and at what cost to sell policies ...
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Explaining Explanations in AI
... Recent work on interpretability in machine learning and AI has focused on the building of simplified models that approximate the true criteria used to make decisions. These models are a useful pedagogical device ...
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Telemedicine, the Microgrid, and AI
... While today’s world of technology news is filled with hyperbole—some even extending into the realm of fiction—what I will discuss here regarding telemedicine, the microgrid and AI (artificial intelligence) is ...
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Explaining Explanations in AI
... Recent work on interpretability in machine learning and AI has focused on the building of simplified models that approximate the true criteria used to make decisions. These models are a useful pedagogical device ...
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[AI Instruction Manual
... 3 To remove barrel from slide depress recGdlrod bushing to dear barrel. "u$hlng then rotate DalTet OuSt1mg C(kJnter clockWIse "511 and It will corne[r] ...
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