Name
Abstract | ||
|---|---|---|
The area of commonsense reasoning aims at the creation of systems able to simulate the human way of rational thinking. This paper describes the use of automated reasoning methods for tackling commonsense reasoning benchmarks. For this we use a benchmark suite introduced in literature. Our goal is to use general purpose background knowledge without domain specific hand coding of axioms, such that the approach and the result can be used as well for other domains in mathematics and science. Furthermore, we discuss the modeling of normative statements in commonsense reasoning and in robot ethics (This paper is an extended version of the informal proceedings [9] and [10]). |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1007/978-3-319-45889-2_1 | Lecture Notes in Artificial Intelligence |
DocType | Volume | ISSN |
Conference | 9872 | 0302-9743 |
Citations | PageRank | References |
1 | 0.36 | 17 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ulrich Furbach | 1 | 639 | 88.23 |
| Claudia Schon | 2 | 16 | 5.73 |