LNMR 2013 - First International Workshop on Learning and Nonmonotonic Reasoning (LNMR 2013)

Knowledge representation and reasoning (KR& R) and machine learning are two important fields in artificial intelligence (AI). (Nonmonotonic) logic programming (NMLP) and answer set programming (ASP) provide formal languages for representing and reasoning with commonsense knowledge and realize declarative problem solving in AI. On the other side, inductive logic programming (ILP) realizes inductive machine learning in logic programming, which provides a formal background to inductive learning and the techniques have been applied to the fields of relational learning and data mining. Generally speaking, NMLP and ASP realize nonmonotonic reasoning while lack the ability of (inductive) learning. By contrast, ILP realizes inductive machine learning while most techniques have been developed under the classical monotonic logic. With this background, some researchers attempt to combine techniques in the context of nonmonotonic inductive logic programming (NMILP). Such combination will introduce a learning mechanism to programs and would exploit new applications on the NMLP side, while on the ILP side it will extend the representation language and enable to use existing solvers. Cross-fertilization between learning and nonmonotonic reasoning can also occur in such as learning while running answer set solvers, learning action theories and transition rules in dynamic environments, and nonmonotonic formalization of inductive learning. This workshop is the first attempt to provide an open forum for the identification of problems and discussion of possible collaborations among researchers with complementary expertise. To facilitate interactions between researchers in the areas of (machine) learning and nonmonotonic reasoning, we welcome contributions focusing on problems and perspectives concerning both learning and nonmonotonic reasoning.
Submissions
We solicit original papers which are not published elsewhere. Papers should be written in English and be formatted according to the Springer Verlag LNCS style, which can be obtained from http://www.springeronline.com. Every paper should not exceed 12 pages including the title page, references and figures. All submissions will be peer-reviewed and all accepted papers must be presented at the workshop. Paper submission is electronic and will be managed through the Easychair webpage.