Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/36489
Title: Inputs, Outputs, and Composition in the Logic of Information Flows
Authors: AAMER, Heba 
Bogaerts, Bart
Ternovska, Eugenia
SURINX, Dimitri 
VAN DEN BUSSCHE, Jan 
Issue Date: 2020
Publisher: IJCAI-INT JOINT CONF ARTIF INTELL
Source: Calvanese, D, Erdem, E, Thielscher, M, (Ed.). Hide Web of Science ResearcherID and ORCID, IJCAI-INT JOINT CONF ARTIF INTELL, p. 2 -11
Abstract: The logic of information flows (LIF) is a general framework in which tasks of a procedural nature can be modeled in a declarative, logic-based fashion. The first contribution of this paper is to propose semantic and syntactic definitions of inputs and outputs of LIF expressions. We study how the two relate and show that our syntactic definition is optimal in a sense that is made precise. The second contribution is a systematic study of the expressive power of sequential composition in LIF. Our results on composition tie in the results on inputs and outputs, and relate LIF to first-order logic (FO) and bounded-variable LIF to bounded-variable FO.
Notes: Aamer, H (corresponding author), Univ Hasselt, Hasselt, Belgium.
heba.mohamed@uhasselt.be; bart.bogaerts@vub.be;
dimitri.surinx@uhasselt.be; ter@sfu.ca; jan.vandenbussche@uhasselt.be
Document URI: http://hdl.handle.net/1942/36489
ISBN: 978-0-9992411-7-2
ISI #: WOS:000720083100001
Rights: 2020 International Joint Conferences on Artificial Intelligence Organization
Category: C1
Type: Proceedings Paper
Validations: ecoom 2022
Appears in Collections:Research publications

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