Physiological Model-Based Decision Making on Distribution of Effort over Time

J. Treur

doi:10.3233/978-1-60750-959-2-400

Physiological Model-Based Decision Making on Distribution of Effort over Time

J. Treur

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

Abstract

This paper focuses on a human-like agent model that describes how in high load tasks physiological effort relate to exhaustion and feeling fatigue, and this is used as a form of monitoring the agent's remaining resources. More specifically, it is addressed how based on such an agent model anticipatory model-based decision making can take place in order to obtain an appropriate distribution of effort over time. © 2011 The authors and IOS Press. All rights reserved.

Original language	English
Title of host publication	Proceedings of the 2nd International Conference on Biologically Inspired Cognitive Architectures, BICA'11
Publisher	IOS Press
Pages	400-408
Number of pages	9
DOIs	https://doi.org/10.3233/978-1-60750-959-2-400
Publication status	Published - 2011
Event	Second International Conference on Biologically Inspired Cognitive Architectures, BICA'11 - Duration: 1 Jan 2011 → 1 Jan 2011

Publication series

Name	Frontiers in Artificial Intelligence and Applications
Volume	233

Conference

Conference	Second International Conference on Biologically Inspired Cognitive Architectures, BICA'11
Period	1/01/11 → 1/01/11

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 16 Peace, Justice and Strong Institutions

Keywords

Physiological model
decision making
effort
exhaustion

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10.3233/978-1-60750-959-2-400

http://www.mendeley.com/research/physiological-modelbased-decision-making-distribution-effort-time

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Cite this

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title = "Physiological Model-Based Decision Making on Distribution of Effort over Time",

abstract = "This paper focuses on a human-like agent model that describes how in high load tasks physiological effort relate to exhaustion and feeling fatigue, and this is used as a form of monitoring the agent's remaining resources. More specifically, it is addressed how based on such an agent model anticipatory model-based decision making can take place in order to obtain an appropriate distribution of effort over time. {\textcopyright} 2011 The authors and IOS Press. All rights reserved.",

keywords = "Physiological model, decision making, effort, exhaustion",

author = "J. Treur",

year = "2011",

doi = "10.3233/978-1-60750-959-2-400",

language = "English",

series = "Frontiers in Artificial Intelligence and Applications",

publisher = "IOS Press",

pages = "400--408",

booktitle = "Proceedings of the 2nd International Conference on Biologically Inspired Cognitive Architectures, BICA'11",

note = "Second International Conference on Biologically Inspired Cognitive Architectures, BICA'11 ; Conference date: 01-01-2011 Through 01-01-2011",

}

Treur, J 2011, Physiological Model-Based Decision Making on Distribution of Effort over Time. in Proceedings of the 2nd International Conference on Biologically Inspired Cognitive Architectures, BICA'11. Frontiers in Artificial Intelligence and Applications, vol. 233, IOS Press, pp. 400-408, Second International Conference on Biologically Inspired Cognitive Architectures, BICA'11, 1/01/11. https://doi.org/10.3233/978-1-60750-959-2-400

Physiological Model-Based Decision Making on Distribution of Effort over Time. / Treur, J.
Proceedings of the 2nd International Conference on Biologically Inspired Cognitive Architectures, BICA'11. IOS Press, 2011. p. 400-408 (Frontiers in Artificial Intelligence and Applications; Vol. 233).

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

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Physiological Model-Based Decision Making on Distribution of Effort over Time

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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