PDDL (Planning Domain Definition Language) & Natural Language 2020


Notes:

The Planning Domain Definition Language (PDDL) is an attempt to standardize Artificial Intelligence (AI) planning languages.

  • Planner

Resources:

Wikipedia:

References:

See also:

100 Best UML Tutorial VideosCYK Parser & Natural Language | Jason IDEOntoGrateOntology Parsers


Learning a Planning Domain Model From Natural Language Process Manuals
Y Huo, J Tang, Y Pan, Y Zeng, L Cao – IEEE Access, 2020 – ieeexplore.ieee.org
… planning technique for natural disaster management, eg typhoon contingency plan generation, through natural language process manuals … We adopt a classical planning model, namely planning domain definition language (PDDL), in the typhoon contingency plan generation …

Knowledge engineering and planning for social human–robot interaction: a case study
RPA Petrick, ME Foster – … Engineering Tools and Techniques for AI …, 2020 – Springer
… research areas within AI. One such area is interactive systems, where a fundamental component called the interaction manager selects actions in the context of conversing with humans using natural language. Although this has …

Discrete Word Embedding for Logical Natural Language Understanding
M Asai, Z Tang – arXiv preprint arXiv:2008.11649, 2020 – arxiv.org
… After the initial success of the distributed word representation in Word2Vec [52], natural language processing techniques have achieved tremendous progress in the last decade, propelled primarily by the advancement in data-driven machine learning approaches based on …

NORA: An Approach for Transforming Network Management Policies into Automated Planning Problems
A Rodriguez-Vivas, OM Caicedo, A Ordoñez, JC Nobre… – Sensors, 2021 – mdpi.com
… based on policies refinement have been introduced to translate network management policies defined in Controlled Natural Language (CNL) [8 … rules to map fault expressions stated in the Domain Service Language (DSL) into the Planning Domain Definition Language (PDDL) …

Extending narrative planning domains with linguistic resources
J Porteous, JF Ferreira, A Lindsay… – Proceedings of the 19th …, 2020 – gala.gre.ac.uk
… branching narratives). The underlying idea is to use natural language labels of planning domain elements to generate related concepts using lexical relations between these labels and other terms in online lexical resources. Hence …

Towards evaluating plan generation approaches with instructional texts
DP Chowdhury, A Biswas, T Sosnowski… – arXiv preprint arXiv …, 2020 – arxiv.org
… have goal-oriented structure and are modelled with different formalisms from the planning domain such as the Planning Domain Definition Language … on natural instructions [5, 6, 22, 7, 1, 3], for constructing machine understandable model from natural language instruc- tions [35 …

Narrative planning model acquisition from text summaries and descriptions
T Hayton, J Porteous, J Ferreira… – Proceedings of the AAAI …, 2020 – ojs.aaai.org
… technical, to create content. We seek to support authors in this task by allowing natural language (NL) plot synopses to be used as a starting point from which planning domain models can be automatically acquired. We present a …

A PDDL based Disaster Storyline Generation Approach
M Tang, J Ni, Q Zhou – 2020 39th Chinese Control Conference …, 2020 – ieeexplore.ieee.org
… Domain Definition Language(PDDL) domain model, which contains complete domain knowledge. Then we use a planner to plan the event storylines that meets the presets in the domain model. To our knowledge, this is the first attempt to combine natural language processing …

Alfred: A benchmark for interpreting grounded instructions for everyday tasks
M Shridhar, J Thomason, D Gordon… – Proceedings of the …, 2020 – openaccess.thecvf.com
… In AL- FRED, rather than answering a question, the agent must complete a task specified using natural language, which re- quires … we encode the agent and ob- ject states, as well as high-level environment dynamics, into Planning Domain Definition Language (PDDL) rules [18 …

Semantic Task Planning for Service Robots in Open Worlds
G Cui, W Shuai, X Chen – Future Internet, 2021 – mdpi.com
… Some methods [15,22] collects information from user during natural language processing (NLP) … In [31], sensor information is used to update an ontology that is queried in each planning loop to populate a PDDL (Planning Domain Definition Language) [32] problem file …

An Automated Planning Model for HRI: Use Cases on Social Assistive Robotics
R Fuentetaja, A García-Olaya, J García, JC González… – Sensors, 2020 – mdpi.com
… can perform and the possible states of the system using a predicate-logic based language, the Planning Domain Definition Language (PDDL) [10 … of HRI for other tasks, as language, dialog and conversation generation [20,21,22,23] and situated natural language generation [24 …

Learning neural-symbolic descriptive planning models via cube-space priors: The voyage home (to strips)
M Asai, C Muise – arXiv preprint arXiv:2004.12850, 2020 – arxiv.org
Page 1. Learning Neural-Symbolic Descriptive Planning Models via Cube-Space Priors: The Voyage Home (to STRIPS) Masataro Asai1 and Christian Muise2 1 MIT-IBM Watson AI Lab, IBM Research, Cambridge USA 2 School …

Procedural Generation of Interactive Stories using Language Models
J Freiknecht, W Effelsberg – … Conference on the Foundations of Digital …, 2020 – dl.acm.org
… KEYWORDS procedural content generation, interactive stories, language models, natural language processing ACM Reference Format: Jonas Freiknecht … A disadvantage of using plan- ners (often based on the Planning Domain Definition Language (PDDL) standard) is that a …

Explainability and Knowledge Representation in Robotics: The Green Button Challenge
F Stulp, AS Bauer, S Bustamante Gomez, FS Lay… – 2020 – elib.dlr.de
… And it is that robotic behavior should be explainable to humans at all times (ie at the press of a button), and that not only robotics experts should be able to under- stand these explanations (ie natural language, not Planning Domain Definition Language (PDDL) or first-order logic …

Introduction to Symbolic Plan and Goal Recognition
R Mirsky, S Keren, C Geib – Synthesis Lectures on Artificial …, 2021 – morganclaypool.com
… An Introduction to the Planning Domain Definition Language Patrik Haslum, Nir Lipovetzky, Daniele Magazzeni, and Christina Muise 2019 … in- telligent user interfaces, human-computer interaction, autonomous and multi-agent systems, natural language understanding, and …

Intent Recognition from Speech and Plan Recognition
M Persiani, T Hellström – … Conference on Practical Applications of Agents …, 2020 – Springer
… arXiv preprint arXiv:1707.04775 (2017). 6. Chen, H., Tan, H., Kuntz, A., Bansal, M., Alterovitz, R.: Enabling robots to understand incomplete natural language instructions using … McDermott, D.: PDDL-the planning domain definition language (1998)Google Scholar. 11 …

Semantic Scene Understanding Based Human-Robot Cooperation
??? – 2020 – s-space.snu.ac.kr
… A planning domain definition language (PDDL) planner and JENA-TDB are utilized for … keywords: cognitive robotics, semantic scene understanding, 3D scene graph, mission planning, human-robot cooperation, natural language process student number: 2014-22559 ii Page 5 …

Iterative Planning with Plan-Space Explanations: A Tool and User Study
R Eifler, J Hoffmann – arXiv preprint arXiv:2011.09705, 2020 – arxiv.org
… In order to make use of this feature, the utility of each plan property in association with its natural language description, is shown to the user as depicted in Figure 7. Setup … The PDDL Planning Domain Definition Language. The AIPS-98 Plan- ning Competition Comitee …

Foundations of the Socio-physical Model of Activities (SOMA) for Autonomous Robotic Agents
D Beßler, R Porzel, M Pomarlan, A Vyas… – arXiv preprint arXiv …, 2020 – arxiv.org
… scenarios in which to test task executions and thus select among several interpretations of a vague natural language command [30] … C., Lawler, C., Kramer, T., Gupta, S.: Towards robust assembly with knowledge representation for the planning domain definition language (pddl …

Mediating Joint Intentions with a Dialogue Management System
M Persiani, M Tewari – First workshop on Mental Models of Robots …, 2020 – diva-portal.org
… Natural language dialogues are among the primitive modes [4] of human-human interaction, and are also consistently used to mediate … For this purpose, we utilize plan recognition techniques based on the Planning Domain Definition Language (PDDL) [8]. PDDL belongs to the …

PDDLGym: Gym environments from PDDL problems
T Silver, R Chitnis – arXiv preprint arXiv:2002.06432, 2020 – arxiv.org
… IPC provides a set of planning domains and problems written in Planning Domain Definition Language (PDDL) [6], allowing easy comparison of various symbolic planners … Glue: A multi-task benchmark and analysis platform for natural language understanding …

Leveraging Iterative Plan Refinement for Reactive Smart Manufacturing Systems
B Wally, J Vysko?il, P Novák, C Huemer… – IEEE Transactions …, 2020 – ieeexplore.ieee.org
… In particular, we employ Planning Domain Definition Language (PDDL) as our artificial intelligence environment for automated planning of production processes and combine it with one of the most prominent Industry 4.0 standards for the fundamental production system model …

Argument Schemes for Explainable Planning
Q Mahesar, S Parsons – arXiv preprint arXiv:2005.05849, 2020 – arxiv.org
… model which is based on an instance of the most widely used planning representation, PDDL (Planning Domain Definition Language), as given in … In scheme-based approaches [17] arguments are expressed in natural language and a set of critical questions is associated with …

Interactive Planning-based Cognitive Assistance on the Edge
Z Hu, M Shvo, A Jepson, I Mohomed – … } Workshop on Hot Topics in Edge …, 2020 – usenix.org
… specific peculiarities and return a solution, a plan, given some input specified in a generic and standard format (eg, the Planning Domain Definition Language (PDDL) [15 … Automatically Extracting Procedural Knowledge from Instructional Texts using Natural Language Processing …

Argument Schemes and Dialogue for Explainable Planning
Q Mahesar, S Parsons – arXiv preprint arXiv:2101.02648, 2021 – arxiv.org
Page 1. arXiv:2101.02648v1 [cs.AI] 7 Jan 2021 Argument Schemes and Dialogue for Explainable Planning Quratul-ain Mahesar Department of Informatics, King’s College London, London, UK quratul-ain.mahesar@kcl.ac.uk …

Designing and implementing usable, interoperable, and reusable services of AI planning capabilities
S Graef – 2020 – elib.uni-stuttgart.de
… Using the prototype, it is possible to model a domain and a problem in a Web application with the Planning Domain Definition Language (PDDL) and create a sequential plan … 10 NDDL New Domain Definition Language. 32 PDDL Planning Domain Definition Language. 3 …

Complexity of qualitative timeline-based planning
D Della Monica, N Gigante, S La Torre… – … and Reasoning (TIME …, 2020 – drops.dagstuhl.de
Page 1. Complexity of Qualitative Timeline-Based Planning Dario Della Monica University of Udine, Italy https://users.dimi.uniud.it/~dario.dellamonica/ dario.dellamonica@uniud.it Nicola Gigante University of Udine, Italy https …

Alfworld: Aligning text and embodied environments for interactive learning
M Shridhar, X Yuan, MA Côté, Y Bisk… – arXiv preprint arXiv …, 2020 – arxiv.org
… Kolve et al., 2017), is a benchmark for learning to complete embodied household tasks using natural language in- structions and … ALFWorld uses PDDL – Planning Domain Definition Language (McDermott et al., 1998) to describe each scene from ALFRED and to construct an …

DeepSym: Deep Symbol Generation and Rule Learning from Unsupervised Continuous Robot Interaction for Planning
A Ahmetoglu, MY Seker, A Sayin, S Bugur… – arXiv preprint arXiv …, 2020 – arxiv.org
… To this end, decision tree models are trained to learn probabilistic rules that are translated to Prob- abilistic Planning Domain Definition Language (PPDDL; Younes and … A natural-language translation of this branch is as follows: ‘If the above object is rollable in all directions (0, 1 …

Towards automated generation of semantic annotation for activity recognition problems
K Yordanova – 2020 IEEE International Conference on …, 2020 – ieeexplore.ieee.org
… The approach makes use of natural language processing techniques to generate semantic models based on the textual labels provided by the annotator … For example, Figure 1 gives an example of an action in the Planning Domain Definition Language (PDDL) notation …

Lifted Successor Generation Using Query Optimization Techniques
AB Corrêa, F Pommerening, M Helmert… – Proceedings of the …, 2020 – ojs.aaai.org
… tions. These hard-to-ground problems arise in several dif- ferent contexts, such as natural language processing, ge- nomics, and organic synthesis (Koller and Petrick 2011; Haslum 2011; Matloob and Soutchanski 2016). Our …

Towards Adaptive Discrete Event Control Based on PRD, PSS and Automatic Planner
G de Almeida Souza, JJPZ de Souza… – Anais da Sociedade …, 2020 – sba.org.br
… The objective, described in natural language, is an ”AND” composition of individual objectives, following the GISP paradigm: Block D atop Block B, Block A in (2,3), Block B in (2,1) and ARM at (2,4). This objective description … PDDL: The Planning Domain Definition Language …

General Environment Description Language
K Zatwarnicki, W Pokuta, A Bryniarska, A Zatwarnicka… – Applied Sciences, 2021 – mdpi.com
… Understanding natural language (drawing conclusions, learning) is also one of the directions of AGI research [12] … Planning languages include Planning Domain Definition Language (PDDL) [33,34] and Stands for Stanford Research Institute Problem Solver (STRIPS) [35,36] for …

Depicting probabilistic context awareness knowledge in deliberative architectures
J Ginés, FJ Rodríguez-Lera, F Martín, ÁM Guerrero… – Natural Computing, 2020 – Springer
… graphs (CGs), Sowa (1999) developed a version of them as an intermediate language for mapping natural language questions and … and use them to optimize the decision-making process at the deliberative layer based on Planning domain definition language (PDDL) (Ghallab …

iCORPP: Interleaved Commonsense Reasoning and Probabilistic Planning on Robots
S Zhang, P Stone – arXiv preprint arXiv:2004.08672, 2020 – arxiv.org
Page 1. iCORPP: Interleaved Commonsense Reasoning and Probabilistic Planning on Robots Shiqi Zhang1, and Peter Stone2 1 SUNY Binghamton 2 UT Austin zhangs@binghamton.edu; pstone@cs.utexas.edu Abstract Robot …

Emerging social information networks applications and architectures
DS Krishna, PM Rao, TS Rao – Security in IoT Social Networks, 2021 – Elsevier
… Acronym, Description, Acronym, Description. NLP, Natural language processor, RDF, Resource description framework … Name of planning languages, Application, Features. DDL (planning domain definition language), Robot path planning, Preconditions, actions, effects …

Using Machine Learning for Decreasing State Uncertainty in Planning
S Krivic, M Cashmore, D Magazzeni, S Szedmak… – Journal of Artificial …, 2020 – jair.org
Page 1. Journal of Artificial Intelligence Research 69 (2020) 765-806 Submitted 06/2019; published 11/2020 Using Machine Learning for Decreasing State Uncertainty in Planning Senka Krivic senka.krivic@kcl.ac.uk King’s …

Designing Interaction for Multi-agent Cooperative System in an Office Environment
C Wang, S Hasler, M Muehlig, F Joublin… – arXiv preprint arXiv …, 2020 – arxiv.org
… 5]. There, the planning domain and problem (eg, a search task in an unknown environment) are defined using a variant of the Planning Domain Definition Language (PDDL) and … Similar to the virtual avatar in SmartLobby, users can interact with the robots with natural language …

Special Issue on Unmanned Aerial Vehicles (UAVs)
S Jung – 2020 – mdpi.com
… a cooperation framework between the UAV and unmanned ground vehicle (UGV) that connects deep learning techniques and a symbolic planner for heterogeneous robots by using the planning domain definition language (PDDL) planning with natural language-based scene …

Online adaptive learning
J Talaghzi, A BENNANE, A Benomar, MM HIMMI – researchgate.net
… menu-driven user interface, touch user interface, voice user interface (VUI), form-based user interface and natural language user interface … 8], Ontology web Language (OWL) [9, 12, 13], Ant Colony Optimization (ACO) [14] and Planning Domain Definition Language (PDDL) [15] …

Online Adaptive Learning: A Review of Literature
J Talaghzi, A Bennane, MM Himmi, M Bellafkih… – Proceedings of the 13th …, 2020 – dl.acm.org
… menu- driven user interface, touch user interface, voice user interface (VUI), form-based user interface and natural language user interface … 8], Ontology web Language (OWL) [9, 12, 13], Ant Colony Optimization (ACO) [14] and Planning Domain Definition Language (PDDL) [15] …

Learning and Reasoning for Robot Dialog and Navigation Tasks
K Lu, S Zhang, P Stone, X Chen – arXiv preprint arXiv:2005.09833, 2020 – arxiv.org
Page 1. Learning and Reasoning for Robot Dialog and Navigation Tasks Keting Lu1 Shiqi Zhang2 Peter Stone3 Xiaoping Chen1 1 USTC 2 SUNY Binghamton 3 UT Austin ktlu@mail.ustc.edu. cn; zhangs@binghamton.edu; pstone@cs.utexas.edu; xpchen@ustc.edu.cn Abstract …

Using Self-Attention LSTMs to Enhance Observations in Goal Recognition
L Amado, GP Licks, M Marcon… – … Joint Conference on …, 2020 – ieeexplore.ieee.org
… execution of actions in a plan ?. Modern planners use the Planning Domain Definition Language (PDDL) as a standardized domain and problem representation [21] encoding this formalism. Bringing this all together, a goal …

RADAR-X: An Interactive Interface Pairing Contrastive Explanations with Revised Plan Suggestions
K Valmeekam, S Sreedharan, S Sengupta… – arXiv preprint arXiv …, 2020 – arxiv.org
… These options in the panel will be our primary focus in the upcoming sections. 2. Foil through Speech: • Speech Panel: Instead of choosing actions from a drop-down list in the Foil panel, this panel facili- tates users to specify foils using natural language …

Feature guided search for creative problem solving through tool construction
L Nair, S Chernova – arXiv preprint arXiv:2008.10685, 2020 – arxiv.org
… state. For the planning task, we consider the problem to be specified in Planning Domain Definition Language (PDDL) [19], consisting of a domain definition PD = (S, A, ?), and a problem/task definition PT = (PD,si,sg). Further …

Integrated Task and Motion Planning of Multi-Robot Manipulators in Industrial and Service Automation
I Umay – 2021 – uwspace.uwaterloo.ca
… 17 2.3 Task planning . . . . . 19 2.3.1 The Planning Domain Definition Language . . . . . 21 2.4 Manipulation planning . . . . . 21 2.4.1 Multi-layer manipulation planners …

Plan summarization for decision support in human team planning
J Kim – 2020 – dspace.mit.edu
… First, I develop a novel plan recognition algorithm to infer the human team’s final plan from a structured form of their natural language conversation … She introduced me to the fields of natural language processing, planning, scheduling …

Gesture Planning and Execution for Anchoring between Multi-Embodiment Robots in Decentralized Settings
K Gulzar – 2020 – aaltodoc.aalto.fi
Page 1. r a zl u G marr u h K d e zil art ne c e D ni st o b o R t ne mi d o b m E-itl u M nee wt e b g nir o h c n A r of n oit u c e x E d n a g ni nn al P er ut s e G s g nitt eS yti sr e vi n U otla A 0 2 0 2 ut se G uc ex E e wt eb to bo R nit te S r a zl u G marr u h K …

Explainable Goal-Driven Agents and Robots–A Comprehensive Review and New Framework
F Sado, CK Loo, M Kerzel, S Wermter – arXiv preprint arXiv:2004.09705, 2020 – arxiv.org
… In a final step, a natural language interpretation for the CM model is achieved using predicate first-order logic to build up a … base, problem interface, and planner interface are supplied by ROSPlan, which are used to store a Planning Domain Definition Language (PDDL) model …

Generating New Lower Abstract Task Operator using Grid-TLI
S Tokuda, M Katayama, M Yamakita, H Oyama – ras.papercept.net
… natural language into LTL [8][9]. By describing tasks in LTL or STL, it is possible to ensure safety by checking in advance that rules stored as common sense … For example, suppose that tasks are represented in the Planning Domain Definition Language (PDDL) [22], LTL, and STL …

Autonomous navigation framework for intelligent robots based on a semantic environment modeling
SH Joo, S Manzoor, YG Rocha, SH Bae, KH Lee… – Applied Sciences, 2020 – mdpi.com
… states, actions, and events. Classical planners, such as Planning Domain Definition Language (PDDL) planners [10], make use of a set of predicates and actions to generate a valid action sequence. Those planners have been …

Interpretable Sequence Classification via Discrete Optimization
M Shvo, AC Li, RT Icarte, SA McIlraith – arXiv preprint arXiv:2010.02819, 2020 – arxiv.org
… representations including regular expressions, context-free grammars (CFGs), and variants of Linear Temporal Logic (LTL) (Pnueli 1977) (see also Technical Appendix § B.3). These transformations are automatic and can be decorated with natural language to further enhance …

A Knowledge-based Multi-entity and Cooperative System Architecture
M Mühlig, L Fischer, S Hasler… – 2020 IEEE International …, 2020 – ieeexplore.ieee.org
… problem (eg, a search task in an unknown environment) is defined using a variant of the Planning Domain Definition Language (PDDL) and … All explanations are given in natural language, which requires to generate sentences from symbolic information and to have a dedicated …

Symbiotic System Design for Safe and Resilient Autonomous Robotics in Offshore Wind Farms
D Mitchell, O Zaki, J Blanche, J Roe, L Kong… – arXiv preprint arXiv …, 2021 – arxiv.org
… application. Current technologies include: natural language processing in the form of speech recognition, mouse-based interaction on a desktop computer or laptop, or gesture interaction for mixed reality [70]. Teleoperation …

Preparation and control of intelligent automation systems
M DAHL – 2021 – research.chalmers.se
… FM: Formal Methods LTL: Linear Temporal Logic MC: Model Checking OLP: Off-Line Programming PDDL: Planning Domain Definition Language PLC: Programmable Logic Controller SCT: Supervisory Control Theory SP: Sequence Planner ROS: Robot Operating System …

Smart Cognitive Computing Empowered Business Intelligence
K Saxena, U Banodha – Handbook of Research on IT Applications for …, 2020 – igi-global.com
… are computer vision, speech recognition, rule-based systems, robotics, planning & scheduling, optimization, natural language processing, machine … The technology based on the two domain specific language (i) Game descriptive and (ii) Planning domain definition language …

POP? POCL, Right? Complexity Results for Partial Order (Causal Link) Makespan Minimization
P Bercher, C Olz – Proceedings of the AAAI Conference on Artificial …, 2020 – ojs.aaai.org
Page 1. The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20) POP ? POCL, Right? Complexity Results for Partial Order (Causal Link) Makespan Minimization Pascal Bercher, ? Conny Olz Institute of Artificial …

Artificial intelligence within the interplay between natural and artificial computation: Advances in data science, trends and applications
JM Górriz, J Ramírez, A Ortíz, FJ Martínez-Murcia… – Neurocomputing, 2020 – Elsevier

Hybrid semantic service matchmaking method based on a random forest
W Jiang, J Lin, H Wang, S Zou – Tsinghua Science and …, 2020 – ieeexplore.ieee.org
… parameters are given in the representation of concepts in an ontology tree, and the preconditions and effects can be described using a first-order logic rule description language, such as Semantic Web Rule Language (SWRL) and Planning Domain Definition Language (PDDL …

A Review of Platforms for the Development of Agent Systems
CV Pal, F Leon, M Paprzycki, M Ganzha – arXiv preprint arXiv:2007.08961, 2020 – arxiv.org
Page 1. Preprint, 17 July 2020 A Review of Platforms for the Development of Agent Systems Constantin-Valentin Pal 1 , Florin Leon 1 , Marcin Paprzycki 2 , Maria Ganzha 2 1 Faculty of Automatic Control and Computer Engineering …

Artificial Intelligence 1 Winter Semester 2020/21–Lecture Notes–Part IV: Planning and Acting
M Kohlhase – 2020 – kwarc.info
… We focus on classical search for simplicity (and practical relevance). For a comprehensive overview, see [GNT04]. ©:Michael Kohlhase 524 Application: Natural Language Generation Page 7. 17.1. PLANNING: INTRODUCTION 7 S:e NP:r1 ? VP:e sleeps V:e N:r1 rabbit …

Introduction to Logic Programming
M Genesereth, VK Chaudhri – Synthesis Lectures on Artificial …, 2020 – morganclaypool.com
… Federated Learning Qiang Yang, Yang Liu, Yong Cheng, Yan Kang, Tianjian Chen, and Han Yu 2019 An Introduction to the Planning Domain Definition Language Patrik Haslum, Nir Lipovetzky, Daniele Magazzeni, and Christian Muise 2019 …

Introduction to Graph Neural Networks
Z Liu, J Zhou – Synthesis Lectures on Artificial Intelligence and …, 2020 – morganclaypool.com
… Federated Learning Qiang Yang, Yang Liu, Yong Cheng, Yan Kang, and Tianjian Chen 2019 An Introduction to the Planning Domain Definition Language Patrik Haslum, Nir Lipovetzky, Daniele Magazzeni, and Christina Muise 2019 …

Graph representation learning
WL Hamilton – Synthesis Lectures on Artifical Intelligence and …, 2020 – morganclaypool.com
… Federated Learning Qiang Yang, Yang Liu, Yong Cheng, Yan Kang, and Tianjian Chen 2019 An Introduction to the Planning Domain Definition Language Patrik Haslum, Nir Lipovetzky, Daniele Magazzeni, and Christina Muise 2019 …

Integrating Recognition and Decision Making to Close the Interaction Loop for Autonomous Systems
R Freedman – 2020 – scholarworks.umass.edu
Page 1. University of Massachusetts Amherst ScholarWorks@UMass Amherst Doctoral Dissertations Dissertations and Theses July 2020 Integrating Recognition and Decision Making to Close the Interaction Loop for Autonomous Systems Richard Freedman …

DIGITAL NOTES ON ARTIFICIAL INTELLIGENCE
BTIII YR, I SEM – mrcet.com
… Outcomes: The students will be able: • To formulate an efficient problem space for a problem expressed in natural language … data mining, natural language understanding and translation, vision, virtual reality, games, and other topics …

Purposive Visual Imitation for Learning Structured Tasks from Videos
DA Huang – 2020 – search.proquest.com
… 161, 194]. Our approach of extracting graph associating the entities with action outputs is related to works in robotics where the goal is to transform natural language instructions for the robots to execute [110, 129, 203, 219]. It …

Semantic Robot Programming for Taskable Goal-Directed Manipulation
Z Zeng – 2020 – deepblue.lib.umich.edu
… xiii Page 15. state estimation for the inference of object classes and poses. By representing the scene graphs with Planning Domain Definition Language, the robot can reason and plan actions to transit the world from current to goal state …

Modelization and Identification of Multi-step Cyberattacks in Sets of Events
MD Aline, MP Pierre, ML Matthieu, MGA Joaquin… – core.ac.uk
Page 1. HAL Id: tel-02315999 https://tel.archives-ouvertes.fr/tel-02315999 Submitted on 15 Oct 2019 HAL is a multi-disciplinary open access archive for the deposit and dissemination of sci- entific research documents, whether they are pub- lished or not …

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