A Deep Learning Approach for Norm Conflict Identification

被引：0

作者：

Aires, Joao Paulo ^{[1
]}

Meneguzzi, Felipe ^{[1
]}

机构：

[1] Potifical Catholic Univ Rio Grande Sul, Ave Ipiranga 6681, Porto Alegre, RS, Brazil

来源：

AAMAS'17: PROCEEDINGS OF THE 16TH INTERNATIONAL CONFERENCE ON AUTONOMOUS AGENTS AND MULTIAGENT SYSTEMS | 2017年

关键词：

norm conflict; deep learning; contract reasoning;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

引用

页码：1451 / 1453

页数：3

共 12 条

[1]

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[2]

Aires J. P., 2017, JOAOPAULOAIRES NORM, DOI [10.5281/zenodo.345411, DOI 10.5281/ZENODO.345411]

[3]

[Anonymous], 2015, ABS150201710 CORR

[4]

Crammer K, 2006, J MACH LEARN RES, V7, P551

[5]

Fenech S, 2009, LECT NOTES COMPUT SC, V5799, P90, DOI 10.1007/978-3-642-04761-9_8

[6]

Fenech S, 2009, LECT NOTES COMPUT SC, V5684, P200, DOI 10.1007/978-3-642-03466-4_13

[7]

Kim Y., 2014, ARXIV 14085882, DOI DOI 10.3115/V1/D14-1181

[8]

Luck M., 2013, Agreement technologies, P209

[9] BDI reasoning with normative considerations [J].

Meneguzzi, Felipe ;

Rodrigues, Odinaldo ;

Oren, Nir ;

Vasconcelos, Wamberto W. ;

Luck, Michael .

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2015, 43 :127-146

[10] Applying electronic contracting to the aerospace aftercare domain [J].

Meneguzzi, Felipe ;

Modgil, Sanjay ;

Oren, Nir ;

Miles, Simon ;

Luck, Michael ;

Faci, Noura .

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2012, 25 (07) :1471-1487

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