scholarly journals Translating Answer-Set Programs into Bit-Vector Logic

Author(s):  
Mai Nguyen ◽  
Tomi Janhunen ◽  
Ilkka Niemelä
Keyword(s):  
1998 ◽  
Author(s):  
Clark W. Barrett ◽  
David L. Dill ◽  
Jeremy R. Levitt

Author(s):  
Mohammad Mehdi Pourhashem Kallehbasti ◽  
Matteo Giovanni Rossi ◽  
Luciano Baresi
Keyword(s):  

2021 ◽  
Vol 66 ◽  
pp. 162-175
Author(s):  
H.R. Schmidtke
Keyword(s):  

2021 ◽  
pp. 103519
Author(s):  
Giovanni Amendola ◽  
Carmine Dodaro ◽  
Wolfgang Faber ◽  
Francesco Ricca
Keyword(s):  

2008 ◽  
Vol 9 (4) ◽  
pp. 1-53 ◽  
Author(s):  
Stijn Heymans ◽  
Davy Van Nieuwenborgh ◽  
Dirk Vermeir

Author(s):  
Bo Yang ◽  
Ying Zhang ◽  
Mingyi Zhang ◽  
Maonian Wu
Keyword(s):  

2012 ◽  
Vol 5 (4) ◽  
pp. 275-291 ◽  
Author(s):  
Esra Erdem ◽  
Erdi Aker ◽  
Volkan Patoglu

2013 ◽  
Vol 29 (18) ◽  
pp. 2320-2326 ◽  
Author(s):  
Carito Guziolowski ◽  
Santiago Videla ◽  
Federica Eduati ◽  
Sven Thiele ◽  
Thomas Cokelaer ◽  
...  

2016 ◽  
Vol 16 (5-6) ◽  
pp. 800-816 ◽  
Author(s):  
DANIELA INCLEZAN

AbstractThis paper presents CoreALMlib, an $\mathscr{ALM}$ library of commonsense knowledge about dynamic domains. The library was obtained by translating part of the Component Library (CLib) into the modular action language $\mathscr{ALM}$. CLib consists of general reusable and composable commonsense concepts, selected based on a thorough study of ontological and lexical resources. Our translation targets CLibstates (i.e., fluents) and actions. The resulting $\mathscr{ALM}$ library contains the descriptions of 123 action classes grouped into 43 reusable modules that are organized into a hierarchy. It is made available online and of interest to researchers in the action language, answer-set programming, and natural language understanding communities. We believe that our translation has two main advantages over its CLib counterpart: (i) it specifies axioms about actions in a more elaboration tolerant and readable way, and (ii) it can be seamlessly integrated with ASP reasoning algorithms (e.g., for planning and postdiction). In contrast, axioms are described in CLib using STRIPS-like operators, and CLib's inference engine cannot handle planning nor postdiction.


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