BOGAR_LN: An Agent Based Component Framework for Developing Multi-modal Services Using Natural Language

Garijo, Francisco J.; Bravo, Sonia; Gonzalez, Jorge; Bobadilla, Emilio

doi:10.1007/978-3-540-25945-9_21

Cited by 11 publications

(8 citation statements)

References 9 publications

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“…An additional advantage for ICARO-T is cost-effectiveness of agent patterns in application development. Evaluation results in previous experiences (Garijo et al, 2004) have reported significant reductions by an average of a 65% of time and effort in the design and implementation phases. Cost reduction was achieved without minimizing or skipping activities like design, documentation and testing.…”

Section: Some Methodologies and Programming Languages For Computationmentioning

confidence: 95%

Knowledge modeling through computational agents: application to surveillance systems

et al. 2011

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In this work the concept of computational agent is located within the methodological framework of levels and domains of description of a calculus in the context of different usual paradigms in Artificial Intelligence (symbolic, situated, connectionist, and hybrid). Emphasis in the computable aspects of agent theory is put, leaving open the possibility to the incorporation of other aspects that are still pure cognitive nomenclature without any computational counterpart of equivalent semantic richness. The ideas presented are shown as currently being implemented on semi-automatic surveillance systems. A case study of a mobile robot application for the detection and following of humans is described.

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Section: Some Methodologies and Programming Languages For Computationmentioning

confidence: 95%

Knowledge modeling through computational agents: application to surveillance systems

et al. 2011

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“…The RGC control component is implemented with a declarative goal processor that manages a goal space and a working memory [14]. In order to achieve goals, strategic and tactic criteria for generating goals and executing tasks and actions are defined by means of situation-action rules.…”

Section: The Deliberative Control Componentmentioning

confidence: 99%

Deliberative control components for eldercare robot team cooperation

Gascueòa¹,

Garijo

Fernández-Caballero

et al. 2015

Journal of Intelligent &Amp; Fuzzy Systems

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One important research area in autonomous mobile robotics is to create companions that live in our ambience and perform tasks to help in everyday life. On the other hand, Ambient Intelligence (AmI) seeks to create a network of helpful intelligent devices. This paper describes an approach for the development of cooperation models for eldercare robot teams using goal-driven control components. The framework and the approach are illustrated through the development and assessment of task allocation in multi-robot teams. Two cooperation models are implemented: (i) a team model based on the adaptive multiagent systems theory where task responsibility is agreed among team peers by exchanging individual estimations of the degree of difficulty and priority to achieve the task; (ii) a hierarchical model where a robot manager asks for the estimations of its team members and then assigns the task. Experimentation for team cooperation assessment is performed through considering environmental changes, as well as communications and internal failures. The proposal is simulated in an AmI-oriented elderly care center to assist seniors in need.

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“…While other agent based platforms, such as FIPA, focus on communication standards, ICARO focuses on providing high level software components for easy development of complex agent behaviour, agent coordination, and MAS organization. An additional reason for choosing ICARO-T is costeffectiveness of agent patterns in application development (Garijo et al, 2004).…”

Section: Introductionmentioning

confidence: 99%

Programming Reactive Agent-Based Mobile Robots Using Icaro-T Framework

Gascueña

Fernández-Caballero

Garijo

2010

Proceedings of the 2nd International Conference on Agents and Artificial Intelligence

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This paper describes the experience and the results of using agent-based component patterns for developing mobile robots. The work is based on the open source ICARO-T framework, which provides four categories of component patterns: agent organization pattern to describe the overall architecture of the system, cognitive and reactive agent patterns to model agent behaviour, and resource patterns to encapsulate computing entities providing services to agents. The experimental setting is based on the development of a team of cooperating robots for achieving surveillance tasks.

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BOGAR_LN: An Agent Based Component Framework for Developing Multi-modal Services Using Natural Language

Cited by 11 publications

References 9 publications

Knowledge modeling through computational agents: application to surveillance systems

Knowledge modeling through computational agents: application to surveillance systems

Deliberative control components for eldercare robot team cooperation

Programming Reactive Agent-Based Mobile Robots Using Icaro-T Framework

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