SoD-TEAM: Teleological reasoning in adaptive software design

Issued as final reportNational Science Foundation (U.S.

Goal Reasoning: Papers from the ACS Workshop

This technical report contains the 14 accepted papers presented at the Workshop on Goal Reasoning, which was held as part of the 2015 Conference on Advances in Cognitive Systems (ACS-15) in Atlanta, Georgia on 28 May 2015. This is the fourth in a series of workshops related to this topic, the first of which was the AAAI-10 Workshop on Goal-Directed Autonomy; the second was the Self-Motivated Agents (SeMoA) Workshop, held at Lehigh University in November 2012; and the third was the Goal Reasoning Workshop at ACS-13 in Baltimore, Maryland in December 2013

Parsing in a Broad Sense

Having multiple representations of the same instance is common in software language engineering: models can be visualised as graphs, edited as text, serialised as XML. When mappings between such representations are considered, terms “parsing” and “unparsing” are often used with incompatible meanings and varying sets of underlying assumptions. We investigate 12 classes of artefacts found in software language processing, present a case study demonstrating their implementations and state-of-the-art mappings among them, and systematically explore the technical research space of bidirectional mappings to build on top of the existing body of work and discover as of yet unused relationships

Model-Driven Engineering of Machine Executable Code

n-aInternational audienceImplementing static analyses of machine-level executable code is labor intensive and complex. We show how to leverage model-driven engineering to facilitate the design and implementation of programs doing static analyses. Further, we report on important lessons learned on the benefits and drawbacks while using the following technologies: using the Scala programming language as target of code generation, using XML-Schema to express a metamodel, and using XSLT to implement (a) transformations and (b) a lint like tool. Finally, we report on the use of Prolog for writing model transformations