Consensus Theory for Cognitive Agents’ Unstructured Knowledge Conflicts Resolving in Management Information Systems

Hernes, Marcin

doi:10.1007/978-3-662-58611-2_1

Cited by 5 publications

(4 citation statements)

References 117 publications

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“…The general concept of formulating topics by students is expressed in Figure 4. Several aspects could be considered in the paper but three main perspectives should be underlined: Knowledge Management, as the approach oriented on global services of knowledge structures in some sense overlapping Knowledge Engineering [38,39], and generated knowledge bases mostly through Data Mining algorithms [40]. To summarize, the final clustering of topics in the KM part can be divided into two groups; all more globally defined research is represented as Knowledge Management; the others with clearly defined algorithms (mostly due to the experimental characteristics of the research) are termed Data Mining.…”

Section: Clustering Of Students' Researchmentioning

confidence: 99%

University Students’ Research on Artificial Intelligence and Knowledge Management. A Review and Report of Multi-case Studies

Owoc

Weichbroth

2021

IFIP Advances in Information and Communication Technology

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Leading technologies are very attractive for students preparing their theses as the completion of their studies. Such an orientation of students connected with professional experiences seems to be a crucial motivator in the research in the management and business areas where these technologies condition the development of professional activities. The goal of the paper is the analysis of students' thesis topics defended in the last 10 years in business informatics and computer science in two selected universities in Poland. Our study relies on a detailed review and analysis of qualitative data, obtained from a literature review and multicase-study research. In the case of the artificial intelligence domain, we have identified six areas of research, namely: general AI, machine learning (ML), natural language processing (NLP), artificial neural networks (ANNs), expert systems, and hybrids. In the case of the knowledge management domain, we have recognized eleven areas of research, regarding the following sectors: e-government, technology, space exploration, social media, manufacturing, healthcare, finance, entertainment, education, e-commerce, and business. Future research will be directed toward extending the scope by including other regions and universities as well as identifying and analyzing students' motivational factors, associated with research pro jects and higher education.

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Section: Clustering Of Students' Researchmentioning

confidence: 99%

University Students’ Research on Artificial Intelligence and Knowledge Management. A Review and Report of Multi-case Studies

Owoc

Weichbroth

2021

IFIP Advances in Information and Communication Technology

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“…The operation of a cognitive agent is divided into three phases: understanding, awareness, and selecting actions and learning (Hernes, 2019). At the beginning of the understanding phase, the stimuli received from the environment activate the codelets of low-level characteristics in the sensory memory.…”

Section: Sensory Memorymentioning

confidence: 99%

“…In this phase, possible action schemes are taken from the procedural memory and sent to the action selection module where they compete for selection in this cycle. The selected actions trigger the sensory-motor memory to create a relevant algorithm to execute them, which is the final stage of the cognitive cycle (Hernes, 2019).…”

Section: Sensory Memorymentioning

confidence: 99%

“…The first is the selection of activities from the known repertoire, and the second is the construction of new representations for action sequences by means of learning with a critic 9 . Conscious learning refers to the learning of new modes of conscious behaviour or the reinforcement of existing conscious behaviour, which occurs when an element of the situational model is often located in the current awareness module (Hernes, 2019).…”

Section: Sensory Memorymentioning

confidence: 99%

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The use of cognitive agent programs in management support

Wuczyński

Golec

Hernes

et al. 2020

Informatyka Ekonomiczna

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A modern economy, based on information and knowledge, forces organizations to use IT tools that support management processes. The authors presented the concept of using cognitive agent programs to support management. These programs are able to track economic phenomena and processes taking place in the organization and its environment, conduct an in-depth analysis of information, draw conclusions and take specific actions. The features of cognitive agents allow organizations to gain a competitive advantage by making the right decisions faster at the operational, tactical and strategic level and by limiting the impact of such human characteristics as emotions or fatigue on task execution. The first part of the article outlines a characterisation of cognitive agent programs. The management areas in which cognitive agents can be used are then analysed and presented. The final part of the article provides conclusions and further research work.

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Application of Cognitive Architecture in Multi-Agent Financial Decision Support Systems

Hernes

Nguyen

2023

Springer Handbooks

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Consensus Theory for Cognitive Agents’ Unstructured Knowledge Conflicts Resolving in Management Information Systems

Cited by 5 publications

References 117 publications

University Students’ Research on Artificial Intelligence and Knowledge Management. A Review and Report of Multi-case Studies

University Students’ Research on Artificial Intelligence and Knowledge Management. A Review and Report of Multi-case Studies

The use of cognitive agent programs in management support

Application of Cognitive Architecture in Multi-Agent Financial Decision Support Systems

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