Artículo
Permanent URI for this collectionhttps://hdl.handle.net/11285/345284
Artículo científico o editorial en una publicación periódica académica sujeto a revisión de pares. Cumple con los índices internacionales o bases de datos de amplia cobertura, como el listado del Current Contents, ISI WEB of Knowledge (http://isiknowledge.com/) e índice de revistas mexicanas de CONACYT (www.conacyt.mx/dac/revistas). Éstos indizan y resumen los artículos de revistas seleccionadas, en todas las áreas del saber.
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- Refining semantically annotated business process diagrams(CEUR-WS, 2016-11-23) Fernandez, Eduardo; Espinosa, Jorge; Ceballos Cansino, Héctor Gibrán; Instituto Tecnológico y de Estudios Superiores de MonterreyBusiness Process Diagrams (BPDs) provide a rich graphical expressiveness for modeling not only business processes but also the development of collective human activities. In Multiagent platforms, BPDs has been used for decoupling the modeling of agent behavior from its implementation. Additionally, the annotation of BPD actions and events with conjunctive queries has opened the door for monitoring process development by querying a knowledge base. We study the properties of this annotation scheme for the refinement of activity diagrams through the removal of redundant nodes, the detection of disjoint alternative paths and the merge/split of event nodes.
- A probabilistic BPMN normal form to model and advise human activities(Springer Verlag, 2015-05-05) Flores Solorio, Victor; Garcia, Juan Pablo; Ceballos Cansino, Héctor Gibrán; Tecnológico de MonterreyAgent-based technologies, originally proposed with the aim of assisting human activities, have been recently adopted in industry for automating business processes. Business Process Model and Notation (BPMN) is a standard notation for modeling business processes, that provides a rich graphical representation that can be used for common understanding of processes but also for automation purposes.We propose a normal form of Business Process Diagrams based on Activity Theory that can be transformed to a Causal Bayesian Network, which in turn can be used to model the behavior of activity participants and assess human decision through user agents. We illustrate our approach on an Elderly health care scenario obtained from an actual contextual study.
- Integrating semi-structured information using semantic technologies: An evaluation of tools and a case study on university rankings data(SciTePress, 2014-08-31) Casas-Bayona, Alejandra; Ceballos Cansino, Héctor GibránInformation integration is not a trivial activity. Information managers face problems like: heterogeneity (in data, schemas, syntax and platforms), distribution and duplicity. In this paper we: 1) analyze ontology-based methodologies that provide mediation frameworks for integrating and reconciling information from structured data sources, and 2) propose the use of available semantic technologies for replicating such functionality. Our aim is providing an agile method for integrating and reconciling information from semistructured data (spreadsheets) and determining to which extent available semantic technologies minimize the need of ontological expertise for information integration. We present our findings and lessons learned from a case study on university rankings data.
- Using activity theory and causal diagrams for designing multiagent systems that assist human activities(Springer Verlag, 2013-11-30) Brena, Ramon; Ceballos Cansino, Héctor Gibrán; García Vázquez, Juan Pablo; Instituto Tecnológico y de Estudios Superiores de MonterreyIn this paper, we propose to use the Activity Theory and causal diagrams for modelling human activities with the aim of facilitating the specification of an agent-based assistance system through the Prometheus methodology. As a case study, we consider the elder medication activity, a recurring, complex and context-rich activity that involves several individual and collective activities which may require assistance. From the data collected in a contextual study of the elder medication, we modeled the medical consultation and refill medicine activities. Our results demonstrate that causal diagrams allow to capture the dynamics of the modelled activity, introduce the assistance of intelligent agents, extract the multiple scenarios synthesized in the activity structure and translate them into Prometheus artifacts.
- Recommending intra-institutional scientific collaboration through coauthorship network visualization(2013-10-28) Prada, Gustavo A; Cantu-Ortiz, Francisco J; Rodríguez-Acevez, Lucía Alejandra; Ceballos Cansino, Héctor Gibrán; Instituto Tecnológico y de Estudios Superiores de MonterreyFor improving research productivity, quality and dissemination, we propose the development of a visual recommendation tool summing up scientific collaboration best-practices found in literature. Social Network Analysis are applied to a coauthorship network for generating a Potential Collaboration Index (PCI) based on productivity, connectivity, similarity and expertise. This work is evaluated by recommending intra-institutional collaboration in a comprehensive university. The accuracy of PCI is documented, along with suggestions and comments from 27 interviewed researchers.
- Towards a causal framework for intelligent agents development(2009-11-13) Cantu, Francisco J; Ceballos Cansino, Héctor Gibrán; Instituto Tecnológico y de Estudios Superiores de MonterreyIn this paper we present a Causal Artificial Intelligence Design (CAID) theory that borrows notions from Classical philosophy for modeling intelligent agents. Principles introduced by this theory are used for extending a goal-driven BDI architecture and implementing what we call Causal Agent. This architecture incorporates causal formalisms like Pearl's Do calculus and C+ which are adapted to Semantic Web knowledge representations. Our approach includes an ontological agent description that enables and justifies the instantiation of agents as part of a plan. An experimental prototype used for validating experimentally our approach is commented.
- Modelling intelligent agents through causality theory(IEEE Computer Society, 2007-11-10) Cantu, Francisco J; Ceballos Cansino, Héctor Gibrán; Instituto Tecnológico y de Estudios Superiores de MonterreyWe introduce Causal Agents, a methodology and agent architecture for modeling intelligent agents based on Causality Theory. We draw upon concepts from classical philosophy about metaphysical causes of existing entities for defining agents in terms of their formal, material, efficient and final causes and use computational mechanisms from Bayesian causal models for designing causal agents. Agent's intentions, interactions and performance are governed by their final causes. A Semantic Bayesian Causal Model, which integrates a probabilistic causal model with a semantic layer, is used by agents for knowledge representation and inference. Agents are able to use semantic information from external stimuli (utterances, for example) which are mapped into the agent's causal model for reasoning about causal relationships with probabilistic methods. Our theory is being tested by an operational multiagents system implementation for managing research products.
- A hybrid local-global approach for handling ontologies in a multiagent system(2004-06-24) Brena, Ramon; Ceballos Cansino, Héctor Gibrán; Instituto Tecnológico y de Estudios Superiores de MonterreyAs Ontologic knowledge gets more and more important in agent-based systems, its handling becomes crucial for successful applications. We propose a hybrid approach, in which part of the ontology is handled locally, using a "client component", and the rest of the ontological knowledge is handled by an "ontology agent", which is accessed by the other agents in the system through their client component. We propose specific methods for representing, storing, querying and translating ontologies for effective use in the context of the "JITIK" system, which is a multiagent system for knowledge and information distribution. We report as well a working prototype implementing our proposal.
- Combining global and local ontology handling in a multiagent system(IEEE Computer Society, 2004-05-19) Brena, Ramon; Ceballos Cansino, Héctor Gibrán; Instituto Tecnológico y de Estudios Superiores de MonterreyOntologic knowledge is getting more and more important in agent-based systems, and its handling is becoming crucial for successful applications. But placing all the ontology-handling capabilities in each of the system's agents could make them too heavy. We propose a combination of local and global ontology handling, where part of the ontology is handled locally, using a "client component", and the rest of the ontological knowledge is handled by an "ontology agent", which is accessed by the other agents in the system through their client component. We propose specific methods for representing, storing, querying and translating ontologies for effective use in the context of the "JITIK" system, which is a multiagent system for knowledge and information distribution. We report a working prototype implementing our proposal.