AGUIA: Agents Guidance for Intelligence Amplification in Goal Oriented Tasks

Cristina, Ana; Garcia, Ana Cristina Bicharra

doi:10.1109/3pgcic.2010.56

Cited by 3 publications

(3 citation statements)

References 24 publications

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“…Xia and Maes (2013) revisited the conceptual framework of Engelbart. More recently, Cristina and Garcia (2010) propose a model of IA, called AGUIA, which can be 2016) propose a generic IA method that supports the initial design steps for IA-driven decision making by means of task-and decision decomposition and appropriate selection of tasks-and decisions for the design and implementation of IA applications. The use of the IA method is illustrated for enhancing decision making in scheduling processes.…”

Section: Designing Iamentioning

confidence: 99%

Designing intelligence amplification: a design canvas for practitioners

Piest¹,

Iacob²,

Wouterse³

2022

AHFE International

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Designing, developing, and implementing applications based on the concepts of Intelligence Amplification (IA) is a complex process. Although some design theories are present in literature, to our best knowledge, no comprehensive IA design approach exists for practitioners. Based on action design research, an IA design canvas is developed and guiding design principles are derived in two iterations. The main contribution of this research is a comprehensive IA design approach, consisting of an IA design canvas and four guiding design principles. Evaluation of the IA design canvas in three concurrent design workshops with 25 participants representing, 14 organizations, provides empirical support that the proposed IA design approach can ease the design processes, especially during the emphasize, ideate, and conceptualize stages of design thinking. Generalization is however not possible. Future research can explore the broader use of the IA canvas for explanation, analysis, prediction, and quantification, and formalize the IA design approach in a design theory.

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Section: Designing Iamentioning

confidence: 99%

Designing intelligence amplification: a design canvas for practitioners

Piest¹,

Iacob²,

Wouterse³

2022

AHFE International

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“…This includes commissioning an intelligent system to support the cyber security protocols established in governments' or organisations' on-site premises or cloud computing for suitable DM, which may rely on the efficiency of knowledge representation (Asamoah, Tao, Gai, & Jiang, 2016). Dedicated computer systems used to manage knowledge can explore range of options that could enhance DM by increasing human awareness of possible misunderstandings and biases (Cristina & Garcia, 2010). The key challenge is not data production anymore, yet data recovery and selection (generation of pertinent data), administration, use and display (Otero et al, 2012) which nowadays can be categorised as data governance.…”

Section: Predictive Analytics With Digital Technologies For Dmmentioning

confidence: 99%

A Systematic review of ontology-based approach and decision-making (DM) to improve public service delivery (PSD)

Ali

Latiff

Wahab³

2020

JBSEE

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A systematic review of the DM literature on PSD was performed with the aim to build an operational ontology-based for decision makers. Five public administration journals were screened on the subject with more than 200 articles found. 29 articles were shortlisted, categorised, summarised, and applied to outline the influential factors in DM for PSD. The result of the systematic reviews also provided a brief clarification on the requirement for the creation of a more citizen-centric and coordinated eco-system for efficient PSD underpinned by effective DM.

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“…According to Garcia, the knowledge keeps evolving with time, is fragmented, and scattered across many resources [5]. She presents the AGUIA model for amplifying human intelligence based on the agent's technology for the task-oriented contexts using domain ontology.…”

Section: Human-in-the-loop and Intelligent Systemsmentioning

confidence: 99%

Intelligence Amplification Framework for Enhancing Scheduling Processes

Dobrkovic

Liu

Iacob

et al. 2016

Lecture Notes in Computer Science

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The scheduling process in a typical business environment consists of predominantly repetitive tasks that have to be completed in limited time and often containing some form of uncertainty. The intelligence amplification is a symbiotic relationship between a human and an intelligent agent. This partnership is organized to emphasize the strength of both entities, with the human taking the central role of the objective setter and supervisor, and the machine focusing on executing the repetitive tasks. The output efficiency and effectiveness increase as each partner can focus on its native tasks. We propose the intelligence amplification framework that is applicable in typical scheduling problems encountered in the business domain. Using this framework we build an artifact to enhance scheduling processes in synchromodal logistics, showing that a symbiotic decision maker performs better in terms of efficiency and effectiveness.

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AGUIA: Agents Guidance for Intelligence Amplification in Goal Oriented Tasks

Cited by 3 publications

References 24 publications

Designing intelligence amplification: a design canvas for practitioners

Designing intelligence amplification: a design canvas for practitioners

A Systematic review of ontology-based approach and decision-making (DM) to improve public service delivery (PSD)

Intelligence Amplification Framework for Enhancing Scheduling Processes

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