Hybrid-Agent Organization Modeling: A Logical-Heuristic Approach

Marostica, Ana; Briano, Cesar; Chinkes, Ernesto

doi:10.1007/978-3-540-72821-4_13

Cited by 2 publications

(1 citation statement)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Formally, we have: M = (environment, hybrid agent, function). By using a hybrid-agent organization modeling, where the hybrid-agent may be composed by a heuristic-decision support system (HDSS) and the decision-maker as a unit, we can provide instruments to help when making decisions in a financial organization such as a commercial bank [4].…”

Section: Evolution Of Information Systems In An Organizationmentioning

confidence: 99%

An evolutionary idea of evolution: a Peircean interpretation of hybrid-agent organisazation model

Marostica¹,

Briano²,

Chinkes³

2006

Proceedings of the 9th Joint International Conference on Information Sciences (JCIS-06)

Self Cite

View full text Add to dashboard Cite

This paper proposes an evolutionary interpretation of a hybrid-agent organization model. Charles S. Peirce's conception of evolution, a combination in some Darwinian and Lamarckian ideas, is a key component of the development of such systems trying to cope with evolving data provided by an evolving environment. In Peirce's conception of evolution, we find at its core the concepts of chance, natural selection, continuity, habit, and harmony. By using those Peircean concepts, we claim that this process of evolution is found in information systems belonging to hybrid-agent organization models in financial organizations.

show abstract

Section: Evolution Of Information Systems In An Organizationmentioning

confidence: 99%