I can (almost) remember what you are doing: from actions to tasks

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F10%3A10057583" target="_blank" >RIV/00216208:11320/10:10057583 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

I can (almost) remember what you are doing: from actions to tasks

Popis výsledku v původním jazyce

Recently there has been an increased attention to the episodic memory research in the community studying intelligent virtual agents. An episodic memory can exploit a hierarchical representation, in which higher layers present increasingly more abstract tasks. During storage, an agent with episodic memory can directly access these abstractions from its own behavioral representations or from behavioural representations of agents being observed, provided the representations in question are hierarchical. However, the abstractions are lacking when observing behaviour of human users. In this paper we propose a way in which our already existing computational model of episodic memory can be extended by an ability to incorporate knowledge about abstract tasks of human users. We have tested ID3 classification algorithm and hidden Markov model for reconstructing these tasks from observations. Our approach was tested in a simple scenario with one agent situated in a 3D environment of the game Unre

Název v anglickém jazyce

I can (almost) remember what you are doing: from actions to tasks

Popis výsledku anglicky

Recently there has been an increased attention to the episodic memory research in the community studying intelligent virtual agents. An episodic memory can exploit a hierarchical representation, in which higher layers present increasingly more abstract tasks. During storage, an agent with episodic memory can directly access these abstractions from its own behavioral representations or from behavioural representations of agents being observed, provided the representations in question are hierarchical. However, the abstractions are lacking when observing behaviour of human users. In this paper we propose a way in which our already existing computational model of episodic memory can be extended by an ability to incorporate knowledge about abstract tasks of human users. We have tested ID3 classification algorithm and hidden Markov model for reconstructing these tasks from observations. Our approach was tested in a simple scenario with one agent situated in a 3D environment of the game Unre

Druh

O - Ostatní výsledky

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

<a href="/cs/project/GD201%2F09%2FH057" target="_blank" >GD201/09/H057: Res Informatica</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2010

Kód důvěrnosti údajů

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