Towards Explanation-Supportive Knowledge Engineering for Planning

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F18%3A00322862" target="_blank" >RIV/68407700:21230/18:00322862 - isvavai.cz</a>

Výsledek na webu

<a href="https://nms.kcl.ac.uk/daniele.magazzeni/XAIP18_proceedings.pdf" target="_blank" >https://nms.kcl.ac.uk/daniele.magazzeni/XAIP18_proceedings.pdf</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Towards Explanation-Supportive Knowledge Engineering for Planning

Popis výsledku v původním jazyce

In real-world planning applications, it is of pivotal importance that decisions and solutions can be explained, in order to maximise safety and increase the reliability of the planning component. There is a significant strand of research that focuses on exploiting planning models, and the planning process itself, in order to deal with a wide range of possible requests of explanation. However, there are explanations that can not be provided by considering only those elements, but that require additional knowledge –which is usually available during the knowledge engineering process of designing planning models.In this paper, we introduce two classes of explanations that require a formal (or semi-formal) encoding of additional knowledge. We then describe how knowledge engineering tools can be extended in order to support the collection of such additional knowledge, and we briefly introduce the structure of an appropriate architecture.

Název v anglickém jazyce

Towards Explanation-Supportive Knowledge Engineering for Planning

Popis výsledku anglicky

In real-world planning applications, it is of pivotal importance that decisions and solutions can be explained, in order to maximise safety and increase the reliability of the planning component. There is a significant strand of research that focuses on exploiting planning models, and the planning process itself, in order to deal with a wide range of possible requests of explanation. However, there are explanations that can not be provided by considering only those elements, but that require additional knowledge –which is usually available during the knowledge engineering process of designing planning models.In this paper, we introduce two classes of explanations that require a formal (or semi-formal) encoding of additional knowledge. We then describe how knowledge engineering tools can be extended in order to support the collection of such additional knowledge, and we briefly introduce the structure of an appropriate architecture.

Druh

O - Ostatní výsledky

CEP obor

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OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

<a href="/cs/project/GA18-07252S" target="_blank" >GA18-07252S: MoRePlan: Modelování a reformulace plánovacích problémů</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2018

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů