Luis Fernando Castillo

A Systematic Review of Geolocated Pervasive Games: A Perspective from Game Development Methodologies, Software Metrics and Linked Open Data

Pervasive games are a new way of social interaction through new technologies such as sensors, software applications and network communication that can be found in mobile devices. Those games allow us to do daily activities in a natural way and arise as a new option of entertainment. For that reason, we decided to do a systematic literature review to identify the methods and metrics used in the development of pervasive games and how they relate to Linked Open Data (LOD). This review presents findings to confirm the need of methodologies to develop applications related to games and entertainment of pervasive nature, and incorporate all its characteristics, which make them different from traditional software.

Towards a Linked Open Data Model for Coffee Functional Relationships

The development of technologies for massively disclose genetic information stored within cells generated the genomics revolution, where everyday exponentially growing databases with the description of the chemical structure of novel genes obtained with the automated nucleic acid sequencing. Each of these sequences is necessary to assign a function, in a process known as gene annotation comparing information of unknown sequence with sequences previously studied in the laboratory. This will identify candidate genes associated with traits of interest such as disease susceptibility or resistance, adaptation to the environment or animal or plant production. Given the volume of information, it is necessary that this be presented in a structured way so that such comparisons can be performed by computer agents quickly and it is open to the possibility of generating new knowledge by finding features and novel relationships between genes. This paper aims to present a bioinformatic application for functional relations search of transcriptome for coffee genetic material provided by the Coffee Investigation Center (CENICAFE), using the Bio2RDF biological database, applying new standards for LOD (Linked Open data) necessary to communicate effectively with other reference databases already operating under the scheme or Semantic Web.

Identification of a Putative Ganoderic Acid Pathway Enzyme in a Ganoderma Australe Transcriptome by Means of a Hidden Markov Model

Ganoderma australe is a fungus widely used as a traditional medicine mainly in Eastern countries, but not studied in silico at the genomic level. This species is probably related to other well characterized fungus with similar properties, which may facilitate gene finding through comparative molecular analysis using appropriated bioinformatics tools. This paper aims to present a preliminary analysis of a G. australe transcriptome through some computational biology techniques implementing Hidden Markov Models (HMM) in order to predict a key putative enzyme (lanosterol synthase, EC 5.4.99.7) involved in the metabolic pathway of triterpenoids of therapeutic interest. The findings suggest that the HMM approach results more efficient than traditional comparisons by homology based on methods of multiple sequences alignment. Here we report the first evidence of a putative lanosterol synthase protein being expressed in cell cultures of G. australe.

Collective Strategies for Virtual Environments: Modelling Ways to Deal with the Uncertainty

Videogames offer new challenges and excellent application domains for AI technology and research. This paper shows a work on ant algorithms optimizing of collective strategies in a videogame environment. In general, ant algorithms are those that taking inspiration from the observation of ant colonies foraging behavior have developed optimization meta-heuristics. In the first part of the paper, we relate the strengths of ant strategies with the well-known exploration-exploitation problem. In the second part, a particular model on how to optimize group strategies in collective tasks is analyzed in light of the ideas previously examined. Finally, we will show how these ideas can constitute an improved stage in the problem of designing non-player characters in future videogames.

New Experiments on the Nature of the Skillful Coping of a Draftsman

During the last years, different authors from disciplines such as cognitive science or psychology have felt interested in analyzing how artists are immersed in an artistic task. This issue is somehow related to the notion of extended cognitive systems. In previous papers, we have showed how it is possible to characterize the “feeling” of a draftsman when he draws through some properties of the hand-tool coupling. Now, we will show new results obtained recently that allow us to define a more complete view on this phenomena and play a crucial role both in the perception either the understanding of the intentions of artists when they are immerse in a sensorimotor process. Finally, we will propose that art teachers can use this knowledge didactically in their classes.

Network Management using Multi-Agents System

This paper aims to present a multiagent system for network management. The models developed for the proposed system defines certain intelligent agents interact to achieve the objectives and requirements of the multiagent organization. These agents have the property of being adaptive, acquire knowledge and skills to make decisions according to the actual state of the network that is represented in the information base, MIB, SNMP devices. The ideal state of the network policy is defined by the end user entered, which contain the value that should have performance variables and other parameters such as the frequency with which these variables should be monitored.. An agent based architecture increase the integration, adaptability, cooperation, autonomy and the efficient operation in heterogeneous environment in the network supervision.

Search Functional Annotations Genetic Relationships of Coffee through Bio2RDF

The protein sequence analysis can deal with various approaches in order to find the phenotypic and functional characteristics of the gene structure. Fortunately there are many models of genes already described in database with biological information.