2A1-G19 Object Transportation Using Autonomous Behavior Acquisition Method For Multi-Agents Equipped With Integrated Sensors

2008 ◽  
Vol 2008 (0) ◽  
pp. _2A1-G19_1-_2A1-G19_4
Author(s):  
Naoto HOSHIKAWA ◽  
Masahiro OHKA
Keyword(s):  
Integrated Sensors ◽  
Autonomous Behavior ◽  
Object Transportation ◽  
Acquisition Method ◽  
Multi Agents

Modeling Self-Determination Theory Motivation Data by Using Unfolding IRT

2020 ◽  
pp. 1-9
Author(s):  
Philipp A. Freund ◽  
Annette Lohbeck
Keyword(s):  
Ideal Point ◽  
Self Determination Theory ◽  
Self Determination ◽  
Dominance Model ◽  
Irt Model ◽  
Autonomous Behavior ◽  
Location Parameters ◽  
Unfolding Models ◽  
Using Data ◽  
Item Location

Abstract. Self-determination theory (SDT) suggests that the degree of autonomous behavior regulation is a characteristic of distinct motivation types which thus can be ordered on the so-called Autonomy-Control Continuum (ACC). The present study employs an item response theory (IRT) model under the ideal point response/unfolding paradigm in order to model the response process to SDT motivation items in theoretical accordance with the ACC. Using data from two independent student samples (measuring SDT motivation for the academic subjects of Mathematics and German as a native language), it was found that an unfolding model exhibited a relatively better fit compared to a dominance model. The item location parameters under the unfolding paradigm showed clusters of items representing the different regulation types on the ACC to be (almost perfectly) empirically separable, as suggested by SDT. Besides theoretical implications, perspectives for the application of ideal point response/unfolding models in the development of measures for non-cognitive constructs are addressed.

Éthique collective dans les systèmes multi-agents

2017 ◽  
Vol 31 (1-2) ◽  
pp. 71-96
Author(s):  
Nicolas Cointe ◽  
Grégory Bonnet ◽  
Olivier Boissier
Keyword(s):  
Multi Agents

Spécification des interactions multi-parties au sein de systçmes multi-agents à l’aide d’organisations normatives

2011 ◽  
Vol 25 (5) ◽  
pp. 653-680
Author(s):  
Flavien Balbo ◽  
Olivier Boissier ◽  
Fabien Bladeg
Keyword(s):  
Multi Agents
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