Information Extraction Tool Text2alm: From Narratives To Action Language System Descriptions, Craig Olson, Yuliya Lierler
Aug 2019
Information Extraction Tool Text2alm: From Narratives To Action Language System Descriptions, Craig Olson, Yuliya Lierler
Yuliya Lierler
In this work we design a narrative understanding tool Text2Alm. System Text2Alm uses an action language ALM to perform inferences on complex interactions of events described in narratives. The methodology used to implement the Text2Alm was originally outlined by Lierler et al. 2017 via a manual process of converting a narrative to an ALM model. It relies on a conglomeration of resources and techniques from two distinct fields of artificial intelligence, namely, natural language processing and knowledge representation and reasoning. The effectiveness of system Text2Alm is measured by its ability to correctly answer questions from the bAbI tasks published by …
Could A Robot Be District Attorney?, Stephen E. Henderson
Jun 2019
Could A Robot Be District Attorney?, Stephen E. Henderson
Stephen E Henderson
No abstract provided.
Integrating Mathematics And Educational Robotics: Simple Motion Planning, Ronald I. Greenberg, George K. Thiruvathukal, Sara T. Greenberg
Apr 2019
Integrating Mathematics And Educational Robotics: Simple Motion Planning, Ronald I. Greenberg, George K. Thiruvathukal, Sara T. Greenberg
George K. Thiruvathukal
This paper shows how students can be guided to integrate elementary mathematical analyses with motion planning for typical educational robots. Rather than using calculus as in comprehensive works on motion planning, we show students can achieve interesting results using just simple linear regression tools and trigonometric analyses. Experiments with one robotics platform show that use of these tools can lead to passable navigation through dead reckoning even if students have limited experience with use of sensors, programming, and mathematics.
Automatic Program Rewriting In Non-Ground Answer Set Programs, Yuliya Lierler
Jan 2019
Automatic Program Rewriting In Non-Ground Answer Set Programs, Yuliya Lierler
Yuliya Lierler
No abstract provided.
Automatic Program Rewriting In Non-Ground Answer Set Programs, Nicholas Hippen, Yuliya Lierler
Dec 2018
Automatic Program Rewriting In Non-Ground Answer Set Programs, Nicholas Hippen, Yuliya Lierler
Yuliya Lierler
Answer set programming is a popular constraint programming paradigm that has seen wide use across various industry applications. However, logic programs under answer set semantics often require careful design and nontrivial expertise from a programmer to obtain satisfactory solving times. In order to reduce this burden on a software engineer we propose an automated rewriting technique for non-ground logic programs that we implement in a system Projector. We conduct rigorous experimental analysis, which shows that applying system Projector to a logic program can improve its performance, even after significant human-performed optimizations.
Strong Equivalence And Program's Structure In Arguing Essential Equivalence Between First-Order Logic Programs, Yuliya Lierler
Dec 2018
Strong Equivalence And Program's Structure In Arguing Essential Equivalence Between First-Order Logic Programs, Yuliya Lierler
Yuliya Lierler
Answer set programming is a prominent declarative programming paradigm used in formulating combinatorial search problems and implementing distinct knowledge representation formalisms. It is common that several related and yet substantially different answer set programs exist for a given problem. Sometimes these encodings may display significantly different performance. Uncovering precise formal links between these programs is often important and yet far from trivial. This paper claims the correctness of a number of interesting program rewritings. Notably, they assume programs with variables and such important language features as choice, disjunction, and aggregates. We showcase the utility of some considered rewritings by using …
Identification And Parasocial Relationships With Characters From Star Wars: The Force Awakens., Alice E. Hall
Dec 2018
Identification And Parasocial Relationships With Characters From Star Wars: The Force Awakens., Alice E. Hall
Alice Hall
This study investigated identification and parasocial relationships (PSRs) with media characters by examining viewers’ responses to the movie Star Wars: The Force Awakens through an online survey of 113 audience members who saw the film in a theater within a month of its release. Participants reported stronger PSR and identification with the more familiar characters from the first trilogy than with the new characters introduced in the film, although the association with identification was limited to older participants. Star Wars fanship was associated with identification and PSR for old and new characters. Familiarity with the earlier films was associated with …
