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Books > Computing & IT > Applications of computing > Artificial intelligence > Knowledge-based systems / expert systems
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Introducing the Oscillations Based Paradigm - The Simulation of Agents and Social Systems (Hardcover, 1st ed. 2016)
Loot Price: R3,673
Discovery Miles 36 730
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Introducing the Oscillations Based Paradigm - The Simulation of Agents and Social Systems (Hardcover, 1st ed. 2016)
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The book presents a conceptually novel oscillations based paradigm,
the Oscillation-Based Multi-Agent System (OSIMAS), aimed at the
modelling of agents and their systems as coherent, stylized,
neurodynamic processes. This paradigm links emerging research
domains via coherent neurodynamic oscillation based representations
of the individual human mind and society (as a coherent collective
mind) states. Thus, this multidisciplinary paradigm delivers an
empirical and simulation research framework that provides a new way
of modelling the complex dynamics of individual and collective mind
states. This book addresses a conceptual problem - the lack of a
multidisciplinary, connecting paradigm, which could link fragmented
research in the fields of neuroscience, artificial intelligence
(AI), multi-agent system (MAS) and the social network domains. The
need for a common multidisciplinary research framework essentially
arises because these fields share a common object of investigation
and simulation, i.e., individual and collective human behavior.
Although the fields of research mentioned above all approach this
from different perspectives, their common object of investigation
unites them. By putting the various pathways of research as they
are interrelated into perspective, this book provides a
philosophical underpinning, experimental background and modelling
tools that the author anticipates will reveal new frontiers in
multidisciplinary research. Fundamental investigation of the
implicit oscillatory nature of agents' mind states and social
mediums in general can reveal some new ways of understanding the
periodic and nonperiodic fluctuations taking place in real life.
For example, via agent states-related diffusion properties, we
could investigate complex economic phenomena like the spread of
stock market crashes, currency crises, speculative oscillations
(bubbles and crashes), social unrest, recessionary effects,
sovereign defaults, etc. All these effects are closely associated
with social fragility, which follows and is affected by cycles such
as production, political, business and financial. Thus, the
multidisciplinary OSIMAS paradigm can yield new knowledge and
research perspectives, allowing for a better understanding of
social agents and their social organization principles.
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