Solving complex decision-making problems through agent-matrices cooperation

Hao Lan Zhang; Jiming LIU; Yong Tang; Chaoyi Pang

doi:10.1007/978-3-642-41154-0_37

Solving complex decision-making problems through agent-matrices cooperation

Hao Lan Zhang, Jiming LIU, Yong Tang, Chaoyi Pang

Department of Computer Science

Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

Abstract

Making decisions in a dynamic environment is complicated and indefinite because of various unpredictable factors and large volumes of information. It has become a key issue for modern organizations to have efficient systems and tools to support rational decision-making in problem-solving processes, particularly, for problems with a lack of predefined structure. This paper provides a novel agent-based framework for Decision Support Systems (DSS) based on the analysis of the major problems in existing DSS. The proposed multi-agent-based framework, namely the Agent-Matrices framework, provides an open, efficient and flexible architecture for DSSs. The Agent-Matrices framework overcomes the compatibility and connectivity problems in most traditional DSS applications. This framework utilises Matrices to allow agents to acquire information, self-upgrade, perform tasks, travel to other Matrices, and be reused. This paper primarily introduces the methods used for coordinating the Matrices and agents to solve a complex problem.

Original language	English
Title of host publication	Web Information Systems Engineering, WISE 2013 - 14th International Conference, Proceedings
Pages	489-498
Number of pages	10
Edition	PART 2
DOIs	https://doi.org/10.1007/978-3-642-41154-0_37
Publication status	Published - 2013
Event	14th International Conference on Web Information Systems Engineering, WISE 2013 - Nanjing, China Duration: 13 Oct 2013 → 15 Oct 2013 https://link.springer.com/book/10.1007/978-3-642-41230-1 https://link.springer.com/book/10.1007/978-3-642-54370-8

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 2
Volume	8181 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	14th International Conference on Web Information Systems Engineering, WISE 2013
Country/Territory	China
City	Nanjing
Period	13/10/13 → 15/10/13
Internet address	https://link.springer.com/book/10.1007/978-3-642-41230-1 https://link.springer.com/book/10.1007/978-3-642-54370-8

Scopus Subject Areas

Theoretical Computer Science
General Computer Science

User-Defined Keywords

Agent-based Systems
Agent-Matrices
DSS

Access to Document

10.1007/978-3-642-41154-0_37

Cite this

Zhang, H. L., LIU, J., Tang, Y., & Pang, C. (2013). Solving complex decision-making problems through agent-matrices cooperation. In Web Information Systems Engineering, WISE 2013 - 14th International Conference, Proceedings (PART 2 ed., pp. 489-498). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8181 LNCS, No. PART 2). https://doi.org/10.1007/978-3-642-41154-0_37

Zhang, Hao Lan ; LIU, Jiming ; Tang, Yong et al. / Solving complex decision-making problems through agent-matrices cooperation. Web Information Systems Engineering, WISE 2013 - 14th International Conference, Proceedings. PART 2. ed. 2013. pp. 489-498 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2).

@inproceedings{9dcd72b87cff470a9413c88c4a1487b1,

title = "Solving complex decision-making problems through agent-matrices cooperation",

abstract = "Making decisions in a dynamic environment is complicated and indefinite because of various unpredictable factors and large volumes of information. It has become a key issue for modern organizations to have efficient systems and tools to support rational decision-making in problem-solving processes, particularly, for problems with a lack of predefined structure. This paper provides a novel agent-based framework for Decision Support Systems (DSS) based on the analysis of the major problems in existing DSS. The proposed multi-agent-based framework, namely the Agent-Matrices framework, provides an open, efficient and flexible architecture for DSSs. The Agent-Matrices framework overcomes the compatibility and connectivity problems in most traditional DSS applications. This framework utilises Matrices to allow agents to acquire information, self-upgrade, perform tasks, travel to other Matrices, and be reused. This paper primarily introduces the methods used for coordinating the Matrices and agents to solve a complex problem.",

keywords = "Agent-based Systems, Agent-Matrices, DSS",

author = "Zhang, {Hao Lan} and Jiming LIU and Yong Tang and Chaoyi Pang",

note = "Copyright: Copyright 2013 Elsevier B.V., All rights reserved.; 14th International Conference on Web Information Systems Engineering, WISE 2013 ; Conference date: 13-10-2013 Through 15-10-2013",

year = "2013",

doi = "10.1007/978-3-642-41154-0_37",

language = "English",

isbn = "9783642411533",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

number = "PART 2",

pages = "489--498",

booktitle = "Web Information Systems Engineering, WISE 2013 - 14th International Conference, Proceedings",

edition = "PART 2",

url = "https://link.springer.com/book/10.1007/978-3-642-41230-1, https://link.springer.com/book/10.1007/978-3-642-54370-8",

}

Zhang, HL, LIU, J, Tang, Y & Pang, C 2013, Solving complex decision-making problems through agent-matrices cooperation. in Web Information Systems Engineering, WISE 2013 - 14th International Conference, Proceedings. PART 2 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 2, vol. 8181 LNCS, pp. 489-498, 14th International Conference on Web Information Systems Engineering, WISE 2013, Nanjing, China, 13/10/13. https://doi.org/10.1007/978-3-642-41154-0_37

Solving complex decision-making problems through agent-matrices cooperation. / Zhang, Hao Lan; LIU, Jiming; Tang, Yong et al.
Web Information Systems Engineering, WISE 2013 - 14th International Conference, Proceedings. PART 2. ed. 2013. p. 489-498 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8181 LNCS, No. PART 2).

Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

TY - GEN

T1 - Solving complex decision-making problems through agent-matrices cooperation

AU - Zhang, Hao Lan

AU - LIU, Jiming

AU - Tang, Yong

AU - Pang, Chaoyi

PY - 2013

Y1 - 2013

N2 - Making decisions in a dynamic environment is complicated and indefinite because of various unpredictable factors and large volumes of information. It has become a key issue for modern organizations to have efficient systems and tools to support rational decision-making in problem-solving processes, particularly, for problems with a lack of predefined structure. This paper provides a novel agent-based framework for Decision Support Systems (DSS) based on the analysis of the major problems in existing DSS. The proposed multi-agent-based framework, namely the Agent-Matrices framework, provides an open, efficient and flexible architecture for DSSs. The Agent-Matrices framework overcomes the compatibility and connectivity problems in most traditional DSS applications. This framework utilises Matrices to allow agents to acquire information, self-upgrade, perform tasks, travel to other Matrices, and be reused. This paper primarily introduces the methods used for coordinating the Matrices and agents to solve a complex problem.

AB - Making decisions in a dynamic environment is complicated and indefinite because of various unpredictable factors and large volumes of information. It has become a key issue for modern organizations to have efficient systems and tools to support rational decision-making in problem-solving processes, particularly, for problems with a lack of predefined structure. This paper provides a novel agent-based framework for Decision Support Systems (DSS) based on the analysis of the major problems in existing DSS. The proposed multi-agent-based framework, namely the Agent-Matrices framework, provides an open, efficient and flexible architecture for DSSs. The Agent-Matrices framework overcomes the compatibility and connectivity problems in most traditional DSS applications. This framework utilises Matrices to allow agents to acquire information, self-upgrade, perform tasks, travel to other Matrices, and be reused. This paper primarily introduces the methods used for coordinating the Matrices and agents to solve a complex problem.

KW - Agent-based Systems

KW - Agent-Matrices

KW - DSS

UR - http://www.scopus.com/inward/record.url?scp=84887473315&partnerID=8YFLogxK

U2 - 10.1007/978-3-642-41154-0_37

DO - 10.1007/978-3-642-41154-0_37

M3 - Conference proceeding

AN - SCOPUS:84887473315

SN - 9783642411533

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 489

EP - 498

BT - Web Information Systems Engineering, WISE 2013 - 14th International Conference, Proceedings

T2 - 14th International Conference on Web Information Systems Engineering, WISE 2013

Y2 - 13 October 2013 through 15 October 2013

ER -

Zhang HL, LIU J, Tang Y, Pang C. Solving complex decision-making problems through agent-matrices cooperation. In Web Information Systems Engineering, WISE 2013 - 14th International Conference, Proceedings. PART 2 ed. 2013. p. 489-498. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2). doi: 10.1007/978-3-642-41154-0_37

Solving complex decision-making problems through agent-matrices cooperation

Abstract

Publication series

Conference

Scopus Subject Areas

User-Defined Keywords

Access to Document

Other files and links

Fingerprint

Cite this