000 03516nam a22004935i 4500
001 978-3-642-25649-3
003 DE-He213
005 20140220083306.0
007 cr nn 008mamaa
008 120209s2012 gw | s |||| 0|eng d
020 _a9783642256493
_9978-3-642-25649-3
024 7 _a10.1007/978-3-642-25649-3
_2doi
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
082 0 4 _a006.3
_223
100 1 _aKaleta, Mariusz.
_eeditor.
245 1 0 _aModeling Multi-commodity Trade: Information Exchange Methods
_h[electronic resource] /
_cedited by Mariusz Kaleta, Tomasz Traczyk.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2012.
300 _aXVI, 192p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aAdvances in Intelligent and Soft Computing,
_x1867-5662 ;
_v121
505 0 _aFrom the content: M3 – motivations and formal model -- M3 data structures -- Communication models used in the context of multi-commodity trade -- Integration between Web services and multi-agent systems with applications for multi-commodity markets -- Application of the multi-agent systems in the context of the multi-commodity market model M3 -- A SemanticWeb approach to the M3 model -- Reliability aspects of multi-commodity markets.
520 _aMarket mechanisms are entering into new fields of economy, in which some constraints of physical world, e.g. Kirchoffs Law in power grid, must be taken into account during trading. On such markets, some of commodities, like telecommunication bandwidth or electrical energy, appear to be non-storable, and must be exchanged in real-time. On the other hand, the markets tend to react at shortest possible time, so an idea to delegate some competency to autonomous software agents is very attractive. Multi-commodity mechanism addresses the aforementioned requirements. Modeling the relationships between the commodities allows to formulate new, more sophisticated models and mechanisms, which reflect decision situations in a better manner. Application of multi-commodity approach requires solving several issues related to data modeling, communication, semantics aspects of communication, reliability, etc. This book answers some of the questions and points out promising paths for implementation and development. Presented solutions are based on Multi-commodity Market Model (M3 ), which enables modeling of rich variety of possible market designs. The book contains revised versions of papers presented during scientific workshop “Modeling Multi-commodity Trade: Information exchange methods", which took place in November 2010 at Warsaw University of Technology.
650 0 _aEngineering.
650 0 _aArtificial intelligence.
650 0 _aManagement information systems.
650 1 4 _aEngineering.
650 2 4 _aComputational Intelligence.
650 2 4 _aArtificial Intelligence (incl. Robotics).
650 2 4 _ae-Commerce/e-business.
650 2 4 _aBusiness Information Systems.
700 1 _aTraczyk, Tomasz.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642256486
830 0 _aAdvances in Intelligent and Soft Computing,
_x1867-5662 ;
_v121
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-642-25649-3
912 _aZDB-2-ENG
999 _c102458
_d102458