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Showing 1 to 16 of 16 for “"PDDL"”.
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PDDL.jl: An Extensible Interpreter and Compiler Interface for Fast and Flexible AI Planning
The Planning Domain Definition Language (PDDL) is a formal specification language for symbolic planning problems and domains that is widely used by the AI planning community. However, most implementations of PDDL are closely tied to particular planning systems and algorithms, and are not designed …
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Knowledge engineering techniques for automated planning
… knowledge into planning domain languages such as PDDL. Also, there is little published research to inform engineers on which method and tools to use in order to effectively engineer a new planning domain model. This is of growing importance, as domain independent planning engines are now being …
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Planen im Fluentkalkül mit binären Entscheidungsdiagrammen
… der Planungsdomänenbeschreibungssprache PDDL in den Fluentkalkül geschaffen. Damit können zahlreiche Planungsprobleme aus der Literatur und Planungsdomänenbibliotheken auch mit Fluentkalkül-Planern bearbeitet werden. Die Übersetzung kann zugleich als formale Semantik des nur informal …
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Neural Bayesian goal inference for symbolic planning domains
… search in Planning Domain Definition Language (PDDL) domains. In addition to the neural architectures, the thesis also introduces approaches for converting PDDL predicate state representations to numerical arrays and vectors suitable for input to the neural networks. The experimental results …
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ALFA-Chains: An Artificial Intelligence Approach to Exploit Chain Discovery in Networks
… using the Planning Domain Description Language (PDDL), a formal language to represent planning problems. This allows us to use optimized off-the-shelf planners that have been developed by the AI planning community over many years. Our system takes natural language descriptions of exploits and …
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DISE : a game technology-based digital interactive storytelling framework
… and schedulers that are compatible with PDDL (the "Planning Domain Definition Language") to be easily integrated with minor changes to the main classes; a 3D game engine and framework for web launched or in browser deployment of the finished product; and a user friendly story and …
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Generalized Policy Learning with Planning
… occur more efficiently than other baselines with PDDL-based problems and policies represented as lifted decision lists. Finally, our experiments show that policies independently learned are qualitiatively similar, prompting further investigation on the possibilities of further accelerating the …
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Heuristically guided constraint satisfaction for AI planning
Standard Planning Domain Definition Language (PDDL) planning problem definitions may be reformulated and solved using alternative techniques. One such paradigm, Constraint Programming (CP), has successfully been used in various planner architectures in recent years. The efficacy of a given …
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Identification of Atomic Propositions in English Instructions for Flexible Translation to Robot Planning Representations
… three formal representations: Temporal Logic, PDDL, and a custom style of atomic propositions. Using pretrained language models and naturalistic parallel data, we build a system that enables flexible formalization of natural language across chosen intermediate representations.
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Propositional and activity monitoring using qualitative spatial reasoning
… planners, planning domain definition language (PDDL) propositions. Both the primitives and propositions are combined to infer the status of the actions that the human is taking. I describe an algorithm for solving each of these smaller problems and describe the modeling process for a variety of …
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Planning Robotic Cutting Operations
Classical planning and most PDDL variants operate on the assumption that the number and types of objects present in the environment are known at the time of initialization and neither can nor do change during plan execution. However, there are many domains in which it is helpful and necessary to be …
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Hybrid Concurrent Planning with Heterogeneous Robot Teams for Timed Goals
… which combines the hybrid flow graphs of the PDDL-K planner Kongming, to be effective, and the adaptive-duration action representation in PDDL 2.1 planners, to be efficient. (2) a scalable, effective multi-robot motion coordinator for activity plans, which extends the priority-based …
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Cybersecurity vulnerabilities in operational technology
… into Planning Domain Definition Language (PDDL) with the option to follow master attack rule framework. We then evaluate the effectiveness of an automated attack tree generator by using Joshua to discover attack plans of an anonymous operational technology organization X as a case study. …
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Optimal temporal planning using the plangraph framework
… to the Planning Domain Definition Language (PDDL) 2.1 level 3, to allow actions to have intermediate effects. Our optimal temporal planning system, CPPlanner, is introduced as the first Graphplan-based optimal planner to handle the richer temporal domains (i.e. actions can have intermediate …
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Enhancing maritime defence and security through persistently autonomous operations and situation awareness systems
… based on a Planning Domain Definition Language (PDDL) planner. Adaptive execution is prioritized over adaptive planning as mission planning can be very demanding in terms of computational resources. Changes in high level mission priorities are also addressed as part of the adaptive planning …
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Reasoning and decisions in partially observable games
… to the Planning Domain Description Language (PDDL), which is commonly used for AI planning problems. We demonstrate the utility of our language by showing that it can be used to express the rules of several popular games and that the language constructs can be used by our game-playing system …