Explanation-based learning with analogy for impasse resolution

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Explanation-based learning with analogy for impasse resolution. / Timperley, Matt; Mokhtar, Maizura; Bellaby, Gareth et al.
In: Expert Systems with Applications, Vol. 61, 01.11.2016, p. 181-191.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Timperley, M, Mokhtar, M, Bellaby, G & Howe, J 2016, 'Explanation-based learning with analogy for impasse resolution', Expert Systems with Applications, vol. 61, pp. 181-191. https://doi.org/10.1016/j.eswa.2016.05.030

APA

Timperley, M., Mokhtar, M., Bellaby, G., & Howe, J. (2016). Explanation-based learning with analogy for impasse resolution. Expert Systems with Applications, 61, 181-191. https://doi.org/10.1016/j.eswa.2016.05.030

Vancouver

Timperley M, Mokhtar M, Bellaby G, Howe J. Explanation-based learning with analogy for impasse resolution. Expert Systems with Applications. 2016 Nov 1;61:181-191. Epub 2016 May 31. doi: 10.1016/j.eswa.2016.05.030

Author

Timperley, Matt ; Mokhtar, Maizura ; Bellaby, Gareth et al. / Explanation-based learning with analogy for impasse resolution. In: Expert Systems with Applications. 2016 ; Vol. 61. pp. 181-191.

Bibtex

@article{4a855b622edf4795a924b3503098e2d2,

title = "Explanation-based learning with analogy for impasse resolution",

abstract = "This paper proposes an algorithm for the inclusion of analogy into Explanation-Based Learning (EBL). Analogy can be used when an impasse is reached to extend the deductive closure of EBL's domain theory. This enables the generation of control laws, via EBL, for hardware which is not catered for in the domain theory. This advantage addresses a problem which represents a dearth in the current literature. Integrated Modular Avionics (IMA) literature has thus far been concerned with the architectural considerations. This paper seeks to address the impact of hardware changes on the controllers within an IMA architecture. An algorithm is proposed and applied to control an aviation platform with an incomplete domain theory. Control rules are generated when no deductive explanations are possible, which still reflect the intent of the domain theory.",

keywords = "Analogy, Explanation-based learning, Impasse resolution",

author = "Matt Timperley and Maizura Mokhtar and Gareth Bellaby and Joe Howe",

year = "2016",

month = nov,

day = "1",

doi = "10.1016/j.eswa.2016.05.030",

language = "English",

volume = "61",

pages = "181--191",

journal = "Expert Systems with Applications",

issn = "0957-4174",

publisher = "Elsevier Ltd",

}

RIS

TY - JOUR

T1 - Explanation-based learning with analogy for impasse resolution

AU - Timperley, Matt

AU - Mokhtar, Maizura

AU - Bellaby, Gareth

AU - Howe, Joe

PY - 2016/11/1

Y1 - 2016/11/1

N2 - This paper proposes an algorithm for the inclusion of analogy into Explanation-Based Learning (EBL). Analogy can be used when an impasse is reached to extend the deductive closure of EBL's domain theory. This enables the generation of control laws, via EBL, for hardware which is not catered for in the domain theory. This advantage addresses a problem which represents a dearth in the current literature. Integrated Modular Avionics (IMA) literature has thus far been concerned with the architectural considerations. This paper seeks to address the impact of hardware changes on the controllers within an IMA architecture. An algorithm is proposed and applied to control an aviation platform with an incomplete domain theory. Control rules are generated when no deductive explanations are possible, which still reflect the intent of the domain theory.

AB - This paper proposes an algorithm for the inclusion of analogy into Explanation-Based Learning (EBL). Analogy can be used when an impasse is reached to extend the deductive closure of EBL's domain theory. This enables the generation of control laws, via EBL, for hardware which is not catered for in the domain theory. This advantage addresses a problem which represents a dearth in the current literature. Integrated Modular Avionics (IMA) literature has thus far been concerned with the architectural considerations. This paper seeks to address the impact of hardware changes on the controllers within an IMA architecture. An algorithm is proposed and applied to control an aviation platform with an incomplete domain theory. Control rules are generated when no deductive explanations are possible, which still reflect the intent of the domain theory.

KW - Analogy

KW - Explanation-based learning

KW - Impasse resolution

U2 - 10.1016/j.eswa.2016.05.030

DO - 10.1016/j.eswa.2016.05.030

M3 - Journal article

AN - SCOPUS:84971645691

VL - 61

SP - 181

EP - 191

JO - Expert Systems with Applications

JF - Expert Systems with Applications

SN - 0957-4174

ER -

Research

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