Sized Type Analysis for Logic Programs (Technical Communication)

We present a novel analysis for relating the sizes of terms and subterms occurring at diferent argument positions in logic predicates. We extend and enrich the concept of sized type as a representation that incorporates structural (shape) information and allows expressing both lower and upper bounds on the size of a set of terms and their subterms at any position and depth. For example, expressing bounds on the length of lists of numbers, together with bounds on the values of all of their elements. The analysis is developed using abstract interpretation and the novel abstract operations are based on setting up and solving recurrence relations between sized types. It has been integrated, together with novel resource usage and cardinality analyses, in the abstract interpretation framework in the Ciao preprocessor, CiaoPP, in order to assess both the accuracy of the new size analysis and its usefulness in the resource usage estimation application. We show that the proposed sized types are a substantial improvement over the previous size analyses present in CiaoPP, and also benefit the resource analysis considerably, allowing the inference of equal or better bounds than comparable state of the art systems.

Resource usage analysis of logic programs via abstract interpretation using sized types

We present a novel general resource analysis for logic programs based on sized types. Sized types are representations that incorporate structural (shape) information and allow expressing both lower and upper bounds on the size of a set of terms and their subterms at any position and depth. They also allow relating the sizes of terms and subterms occurring at different argument positions in logic predicates. Using these sized types, the resource analysis can infer both lower and upper bounds on the resources used by all the procedures in a program as functions on input term (and subterm) sizes, overcoming limitations of existing resource analyses and enhancing their precision. Our new resource analysis has been developed within the abstract interpretation framework, as an extension of the sized types abstract domain, and has been integrated into the Ciao preprocessor, CiaoPP. The abstract domain operations are integrated with the setting up and solving of recurrence equations for inferring both size and resource usage functions. We show that the analysis is an improvement over the previous resource analysis present in CiaoPP and compares well in power to state of the art systems.

Knowledge-action integration through the media in indigenous communities in Ecuador

The binomial knowledge/action understood under the biunivocal relationship of both components is the basis of planning from a postmodern approach. Within this binomial, social communication gives appropriate information, nurtures the knowledge that leads to transformative action, promotes participation and enhances the community?s self-esteem and recognition; to deeply reflect on action is a source of new knowledge; and communication fosters the adoption of the new knowledge by the community with new actions that feed the process knowledge/action as a planning source. From this approach the project Radio Message is born as a new communication channel with the aim of offering Andean indigenous communities from the area of Cayambe (Ecuador), a series of multidisciplinary training programs that enable transformative action with a strong effect on the life quality in these communities and their importance as social actors. The contents are designed through participatory communication between the training authorities and the communities themselves, analyzing their opportunities and needs. In this research the impact of social media in the development of more than 100 indigenous communities in Cayambe is analyzed.