Application of the consensus method in a multiagent financial decision support system

Abstract-This paper presents issues related to a process of the automatic summarization of the text documents connected with economic knowledge performed by the cognitive agents in an integrated management information system. In contemporary companies, the unstructured knowledge is essential, mainly due to the possibility of obtaining better flexibility and competitiveness of the organization. Therefore more often the decision are taken in the enterprises on the basis of the summaries. The first part of the paper shortly presents the state-of-the-art in the considered field; next, the summarization process in the Cognitive Integrated Management Information System is characterized; the case study related with the summaries generating agent is presented in the last part of this paper. I. INTRODUCTIONN contemporary companies the unstructured knowledge is essential, mainly due to the possibility of obtaining better flexibility and competitiveness of the organization. The unstructured knowledge supports structuralized knowledge to a high degree. It is mainly stored in natural language, so it is processed with symbols (not numbers). One example of unstructured knowledge is experts' opinion about a predicted currency trading. Some experts may argue that the exchange rate of the currency will rise, others that it will decrease, and still others that it will remain unchanged. In addition, expert opinions include the reasons for these predictions. The number of such opinions in the Internet is usually very large (hundreds, thousands of the opinions). An investor who makes a decision, for example, on the financial markets, needs to analyze and summarize these opinions to formulate the correct decision. However, the manual realization of these processes is extremely difficult, and often impossible, due to time constraints [14]. Thus, often the processes of the analysis and summarization of the text documents are made automatically by computer systems, including the integrated management information systems. They may be constructed, for example, on the basis of the number of the cognitive agents [16]. Generally speaking, the cognitive agent is a smart program that not only concludes on the basis of the data received, takes specific actions to achieve the desired objective (this can be, for example, decision support), but also learns at the same time gaining experience. An example of a cognitive agent's architecture is The Learning Intelligent Distribution Agent (LIDA) [35]. This is a hybrid architecture that allows for symbolic and emergent knowledge processing and uses the semantic net with node and links activation level (the "slipnet") [19] to represent a knowledge.Broadly understood, the analysis of the text documents is mainly based on document retrieval, information extraction, text mining and natural language processing. Summarization, instead, can include the contents of a document or set of documents. The basic idea of summarization is to get a summary that contains the most important information from the source doc...

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“…Nowadays such structures [36] and consensus algorithms as regards these decisions, are elaborated [23,47,50].…”

Section: Related Workmentioning

confidence: 99%

The automatic summarization of text documents in the Cognitive Integrated Management Information System

Hernes

Maleszka

Nguyên

et al. 2015

Annals of Computer Science and Information Systems

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“…The ConsensusFuzzy agent (detailed in [22,23]) is founded on the consensus theory [15,16,29] and determines the decisions on the basis of the set of decisions generated by other fuzzy logic agents in the system.…”

Section: The Consensusfuzzy Agentmentioning

confidence: 99%

Fuzzy logic in the multi-agent financial decision support system

Korczak

Hernes

Bac

2015

Annals of Computer Science and Information Systems

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Abstract-The article presents the application of a fuzzy logic in building the trading agents of the a-Trader system. The system supports investment decisions on the FOREX market. The first part of the article contains a discussion related to the use of fuzzy logic as an agents' knowledge representation. Next, the algorithms of the selected fuzzy logic buy-sell decision agents are presented. In the last part of the article the agent performance is evaluated on real FOREX data.

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“…It allow for representing the real word environment in wide scope of objects features. Such structures are used, for example in case of weather forecasting multiagent system [15] or supply chain management multiagent system [10], [25].…”

Section: Techniquesmentioning

confidence: 99%

Knowledge representation in controlling sub-system

Chojnacka-Komorowska

Hernes

2015

Annals of Computer Science and Information Systems

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Abstract-The paper presents issues related to knowledge representation in controlling sub-system in integrated management support system. In the first part of article, a controlling sub-system is characterized. Next, the formal definition of knowledge structure is presented. This structure can be used, for example, to integration of knowledge. The final part describes an example of use of the elaborated structure in practice.

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Application of the consensus method in a multiagent financial decision support system

Cited by 31 publications

References 8 publications

The automatic summarization of text documents in the Cognitive Integrated Management Information System

The automatic summarization of text documents in the Cognitive Integrated Management Information System

Fuzzy logic in the multi-agent financial decision support system

Knowledge representation in controlling sub-system

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