• Aucun résultat trouvé

S-DLCAM: A Self-Design and Learning Cooperative Agent Model for Adaptive Multi-Agent Systems

N/A
N/A
Protected

Academic year: 2021

Partager "S-DLCAM: A Self-Design and Learning Cooperative Agent Model for Adaptive Multi-Agent Systems"

Copied!
4
0
0

Texte intégral

Loading

Figure

Figure 1. The static view of the Self-design and Learning Cooperative Agent.

Références

Documents relatifs

Spinocerebellar ataxia type 7 (SCA7) is a dominantly inherited autosomal disease caused by a CAG (encoding Q) trinucleotide expansion within the coding region of the

( ﺔﻜﺒﺸﻟا ﻰﻠﻋ ةﺮﻓﻮﺘﻤﻟا ﺔﯿﻧوﺮﺘﻜﻟﻹا ﻊﺟاﺮﻤﻟا ﻰﻠﻋ نﺎﯿﺣﻷا ﺐﻟﺎﻏ ﻲﻓ ﺎﻧﺪﻤﺘﻋا ﺪﻗو ، ﺔﯿﺗﻮﺒﻜﻨﻌﻟا ) ﺖﻧﺮﺘﻧﻹا ( ﺮﻔﻟا و ﺔﯿﺑﺮﻌﻟا ﺔﻐﻠﻟﺎﺑ ﺔﯿﺴﻧ ﺔﯾﺰﯿﻠﺠﻧﻻا و ﺔﺻﺎﺧ ،عﻮﺿﻮﻤﻟا ﺔﺛاﺪﺣ ﺐﺒﺴﺑ

as in two Commission soft law instruments: Commission Recommendation of 11 February 2003 on relevant product and service markets within the electronic communications sector

Tous les param` etres dans cet exemple de la proc´ edure order_total sont des variables li´ ees d’Oracle qu’il faut d´ eclarer avant de les r´ ef´ erencer dans le

We used an innovative dual-isotope labelling approach (deuterium in surface soil and oxygen at 120-cm depth) coupled with a modelling approach to investigate the role of tree

coordination could explain the VC in fluence on the perform- ances of the graphite secondary batteries with an ionic-liquid- based electrolyte since (i) the di ffusion coefficient of [Li

Features from the General Inquirer outperform other strategies accuracy (highest number of correct guesses) and mean squared error (lowest difference with human

Section 4 introduces the main contribution of this work: the formulation as a cooperative multi-agent problem, where the user model is jointly learned with the interaction