|Appears in Collections:||Computing Science and Mathematics Conference Papers and Proceedings|
|Peer Review Status:||Refereed|
|Title:||Issues in reasoning about interaction networks in cells: Necessity of event ordering knowledge|
|Citation:||Tran N, Baral C & Shankland C (2005) Issues in reasoning about interaction networks in cells: Necessity of event ordering knowledge Proceedings of the Twentieth National Conference on Artificial Intelligence (AAAI 2005), Issues in reasoning about interaction networks in cells: Necessity of event ordering knowledge, Pittsburgh, PA, 9.7.2005 - 13.7.2005, Pittsburgh PA: AAAI Press, pp. 676-681.|
|Conference Name:||Issues in reasoning about interaction networks in cells: Necessity of event ordering knowledge|
|Conference Location:||Pittsburgh, PA|
|Abstract:||In this paper we discuss several representation issues that we came across while modelling molecular interactions in cells of living organisms. One of the issues was that the triggering of events inside cells, an important modelling component, are not necessarily immediate, leading to multiple evolution models in the absence of additional information. Second, often an action or a trigger at one level of granularity of representation can be elaborated and refined. We show the problem that existing representation and modelling formalisms have in dealing with the above issues. We then present an action language which builds up on a previous language, and has the ability to express event ordering knowledge. We show that our language is able to adequately address the above-mentioned issues.|
|Status:||Book Chapter: author post-print (pre-copy editing)|
|Rights:||The publisher does not allow this work to be made publicly available in this Repository. Please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author. You can only request a copy if you wish to use this work for your own research or private study.|
|Affiliation:||Arizona State University|
Arizona State University
Computing Science - CSM Dept
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