Agent Bodies: An Interface Between Agent and Environment

Carrascosa, Carlos; Galland, Stéphane; Kanmeugne, Patrick Simo

doi:10.1007/978-3-319-23850-0_2

Cited by 9 publications

(7 citation statements)

References 28 publications

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“…SAbMDE joins with those [32] who accept development as an inherently human process and builds on a neuroscience foundation [33][34][35][36] of agent mind, body, and environment interaction. SAbMDE interprets that interaction in the following way.…”

Section: The Root Conceptmentioning

confidence: 99%

Development Cycle Modeling: Transdisciplinary Implications

Denard

2021

tjes

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This paper argues that development (product, system, software, etc.) is an inherently transdisciplinary activity. Development is defined as the conversion of ideas into their manifestations. This conversion is often characterized by development phases, e.g., concept, requirements, design, implementation, and evaluation/testing (CRDIE). Iterative sequences of these phases form development cycles. Development cycles drive new product creation as well as product quality and cost and utility. Consequently, understanding development cycles is important. Models can provide insight; however, end-to-end quantitative development cycle models are, at best, rare. This paper outlines such a model, the Statistical Agent-based Model of Development and Evaluation (SAbMDE). For purposes of this paper, transdisciplinarity is defined as a developer’s holistic view of reality as filtered by that developer’s sensory input and perception of that reality. The model builds its mathematical and logical structures on a foundational concept that includes and describes this sensory and perceptual integration. Because the proposed model has this transdisciplinary characteristic, the model's use and results will have transdisciplinary implications. One implication: Ideas are discovered, not created. Another: A developer must first adjust their perception to see the development path that leads to a desired end product before they can traverse that path. A third: The ordering of information in a development space must be maintained.. This paper defines a minimal SAbMDE model that logically and mathematically reveals these and other SAbMDE transdisciplinarity implications.

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Section: The Root Conceptmentioning

confidence: 99%

Development Cycle Modeling: Transdisciplinary Implications

Denard

2021

tjes

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“…Equation ( 22) selects DNodes with 100% certainty, it is known at the first composition, and it applies to every subsequent composition. For the second example, include the more ambiguous test (26) in the test set T 1 along with ( 23) and ( 24). This test set identifies "cross-like" vocabulary items for inclusion in a DEP sequence.…”

Section: Examplesmentioning

confidence: 99%

Development Cycle Modeling: Process Risk

et al. 2020

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The first part of this paper outlined the Statistical Agent-based Model of Development and Evaluation (SAbMDE) and demonstrated the model’s ability to estimate development cycle resource utilization. This second part of the paper explores the model’s ability to compute development cycle information content and process risk. Risk managers focus mostly on outcome risk, i.e., the likelihood that a running system will behave in an undesirable manner. SAbMDE assumes that a subset of outcome risks are not inherent and immutable but are, instead, the result of defects and vulnerabilities introduced during the system’s development process. The likelihood of defect and vulnerability introduction is a process risk. SAbMDE further assumes that measuring process risk is a prerequisite for minimizing defects and vulnerabilities and, therefore, outcome risk. The model implements the measurement with Shannon’s information–probability relationship similar to its use in Axiomatic Design Theory (ADT). This paper details the SAbMDE’s information and risk calculations and demonstrates those calculations with examples. The process risk calculation is consistent with and offers a mechanism for the ADT Information Axiom.

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“…One of the ways to solve this problem is to manage this interface as the agent body, i.e. a component that is attached to each agent to manage its interface with the environment [34]. Other works have introduced the use of mediators between agents and the environment [11] [37], which can be viewed as functionally similar to bodies.…”

Section: Fig 1: Facial Feature Pointsmentioning

confidence: 99%

Developing an emotional-based application for human-agent societies

2016

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The purpose of this paper is to present an emotional-based application for human-agent societies. This kind of applications are those where virtual agents and humans coexist and interact transparently into a fully integrated environment. Specifically, the paper presents an application where humans are immersed into a system that extracts and analyzes the emotional states of a human group trying to maximize the welfare of those humans by playing the most appropriate music in every moment. This system can be used not only online, calculating the emotional reaction of people in a bar to a new song, but also in simulation, to predict the people's reaction to changes in music or in the bar layout.

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Agent Bodies: An Interface Between Agent and Environment

Cited by 9 publications

References 28 publications

Development Cycle Modeling: Transdisciplinary Implications

Development Cycle Modeling: Transdisciplinary Implications

Development Cycle Modeling: Process Risk

Developing an emotional-based application for human-agent societies

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