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  1. Application of bitemporal databases containing medical data12.Mariusz Giero - 2009 - In Dariusz Surowik (ed.), Logic in knowledge representation and exploration. Białystok: University of Białystok. pp. 193.
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  • Topological Foundations of Cognitive Science.Carola Eschenbach, Christopher Habel & Barry Smith (eds.) - 1984 - Hamburg: Graduiertenkolleg Kognitionswissenschaft.
    A collection of papers presented at the First International Summer Institute in Cognitive Science, University at Buffalo, July 1994, including the following papers: ** Topological Foundations of Cognitive Science, Barry Smith ** The Bounds of Axiomatisation, Graham White ** Rethinking Boundaries, Wojciech Zelaniec ** Sheaf Mereology and Space Cognition, Jean Petitot ** A Mereotopological Definition of 'Point', Carola Eschenbach ** Discreteness, Finiteness, and the Structure of Topological Spaces, Christopher Habel ** Mass Reference and the Geometry of Solids, Almerindo E. Ojeda (...)
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  • Learning to improve constraint-based scheduling.Monte Zweben, Eugene Davis, Brian Daun, Ellen Drascher, Michael Deale & Megan Eskey - 1992 - Artificial Intelligence 58 (1-3):271-296.
  • Representing preferences using intervals.Meltem Öztürk, Marc Pirlot & Alexis Tsoukiàs - 2011 - Artificial Intelligence 175 (7-8):1194-1222.
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  • Causal reasoning with forces.Phillip Wolff & Aron K. Barbey - 2015 - Frontiers in Human Neuroscience 9.
  • Modeling generalized implicatures using non-monotonic logics.Jacques Wainer - 2007 - Journal of Logic, Language and Information 16 (2):195-216.
    This paper reports on an approach to model generalized implicatures using nonmonotonic logics. The approach, called compositional, is based on the idea of compositional semantics, where the implicatures carried by a sentence are constructed from the implicatures carried by its constituents, but it also includes some aspects nonmonotonic logics in order to model the defeasibility of generalized implicatures.
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  • Computational complexity of hybrid interval temporal logics.Przemysław Andrzej Wałęga - 2023 - Annals of Pure and Applied Logic 174 (1):103165.
  • A method for conceptualising legal domains. An example from the dutch unemployment benefits act.Pepijn Visser, Trevor Bench-Capon & Jaap van den Herik - 1997 - Artificial Intelligence and Law 5 (3):207-242.
    There has been much talk of the need to build intermediate models of the expertise required preparatory to constructing a knowledge-based system in the legal domain. Such models offer advantages for verification, validation, maintenance and reuse. As yet, however, few such models have been reported at a useful level of detail. In this paper we describe a method for conceptualising legal domains as well as its application to a substantial fragment of the Dutch Unemployment Benefits Act (DUBA).We first discuss the (...)
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  • The token reification approach to temporal reasoning.Lluís Vila & Han Reichgelt - 1996 - Artificial Intelligence 83 (1):59-74.
  • Reasoning about qualitative temporal information.Peter van Beek - 1992 - Artificial Intelligence 58 (1-3):297-326.
  • Reasoning agents in a dynamic world: The frame problem.Jozsef A. Toth - 1995 - Artificial Intelligence 73 (1-2):323-369.
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  • Event, state, and process in arrow logic.Satoshi Tojo - 1999 - Minds and Machines 9 (1):81-103.
    Artificial agents, which are embedded in a virtual world, need to interpret a sequence of commands given to them adequately, considering the temporal structure for each command. In this paper, we start with the semantics of natural language and classify the temporal structures of various eventualities into such aspectual classes as action, process, and event. In order to formalize these temporal structures, we adopt Arrow Logic. This logic specifies the domain for the valuation of a sentence as an arrow. We (...)
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  • Similarity of legal cases: From temporal relations of affairs. [REVIEW]Satoshi Tojo & Katsumi Nitta - 1997 - Artificial Intelligence and Law 5 (1-2):161-176.
    Case-based reasoning has played an important role in legal reasoning systems. As one criteria for similarity of cases, temporal relationsamong affairs in legal cases should be compared. Thus far in many legalreasoning systems, cases have been described as sequences of pointwiseevents, or at best, simple time intervals, and they have been related bypredicates such as before, after, while,and so on. However, such relations may depend on each implementer'spersonal view, and also require much labor to write down by hand. In this (...)
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  • Ontology-based fusion of sensor data and natural language.Erik Thomsen & Barry Smith - 2018 - Applied ontology 13 (4):295-333.
    We describe a prototype ontology-driven information system (ODIS) that exploits what we call Portion of Reality (POR) representations. The system takes both sensor data and natural language text as inputs and composes on this basis logically structured POR assertions. The goal of our prototype is to represent both natural language and sensor data within a single framework that is able to support both axiomatic reasoning and computation. In addition, the framework should be capable of discovering and representing new kinds of (...)
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  • An axiomatic characterization of temporalised belief revision in the law.Luciano H. Tamargo, Diego C. Martinez, Antonino Rotolo & Guido Governatori - 2019 - Artificial Intelligence and Law 27 (4):347-367.
    This paper presents a belief revision operator that considers time intervals for modelling norm change in the law. This approach relates techniques from belief revision formalisms and time intervals with temporalised rules for legal systems. Our goal is to formalise a temporalised belief base and corresponding timed derivation, together with a proper revision operator. This operator may remove rules when needed or adapt intervals of time when contradictory norms are added in the system. For the operator, both constructive definition and (...)
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  • Motivated action theory: a formal theory of causal reasoning.Lynn Andrea Stein & Leora Morgenstern - 1994 - Artificial Intelligence 71 (1):1-42.
  • Intelligent tutoring systems.Mark Stefik - 1985 - Artificial Intelligence 26 (2):238-245.
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  • Backtracking algorithms for disjunctions of temporal constraints.Kostas Stergiou & Manolis Koubarakis - 2000 - Artificial Intelligence 120 (1):81-117.
  • Temporal logics in AI: Semantical and ontological considerations.Yoav Shoham - 1987 - Artificial Intelligence 33 (1):89-104.
  • Nonmonotonic Reasoning and Causation.Yoav Shoham - 1990 - Cognitive Science 14 (2):213-252.
    It is suggested that taking into account considerations that traditionally fall within the scope of computer science in general, and artificial intelligence in particular, sheds new light on the subject of causation. It is argued that adopting causal notions con be viewed as filling a computational need: They allow reasoning with incomplete information, facilitate economical representations, and afford relatively efficient methods for reasoning about those representations. Specifically, it is proposed that causal reasoning is intimately bound to nonmonotonic reasoning. An account (...)
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  • Default reasoning about spatial occupancy.Murray Shanahan - 1995 - Artificial Intelligence 74 (1):147-163.
  • A framework for knowledge-based temporal abstraction.Yuval Shahar - 1997 - Artificial Intelligence 90 (1-2):79-133.
  • Ontological requirements for annotation and navigation of philosophical resources.Michele Pasin & Enrico Motta - 2011 - Synthese 182 (2):235-267.
    In this article, we describe an ontology aimed at the representation of the relevant entities and relations in the philosophical world. We will guide the reader through our modeling choices, so to highlight the ontology’s practical purpose: to enable an annotation of philosophical resources which is capable of supporting pedagogical navigation mechanisms. The ontology covers all the aspects of philosophy, thus including characterizations of entities such as people, events, documents, and ideas. In particular, here we will present a detailed exposition (...)
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  • The rod and the crocodile. Temporal relations in textual hermeneutics: An application of Petri nets to semantics.Ephraim Nissan - 2011 - Semiotica 2011 (184):187-227.
    We use a graphic formalism to make explicit differences in the interpretation of temporal relations in natural-language text. Out of the panoply of computational representation methods for time or tense, we select Petri nets, and discuss why. We illustrate their potential for semantics and for sign theorists, by analyzing how some late antique and medieval exegeses understood the narrative of Moses and Pharaoh's magicians, and the former's rod swallowing up the rods of the other ones, once these rods had been (...)
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  • An approach to temporalised legal revision through addition of literals.Martín O. Moguillansky, Diego C. Martinez, Luciano H. Tamargo & Antonino Rotolo - forthcoming - Artificial Intelligence and Law:1-46.
    As lawmakers produce norms, the underlying normative system is affected showing the intrinsic dynamism of law. Through undertaken actions of legal change, the normative system is continuously modified. In a usual legislative practice, the time for an enacted legal provision to be in force may differ from that of its inclusion to the legal system, or from that in which it produces legal effects. Even more, some provisions can produce effects retroactively in time. In this article we study a simulation (...)
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  • Back from the future.Andrea Masini, Luca Viganò & Marco Volpe - 2010 - Journal of Applied Non-Classical Logics 20 (3):241-277.
    Until is a notoriously difficult temporal operator as it is both existential and universal at the same time: A∪B holds at the current time instant w iff either B holds at w or there exists a time instant w' in the future at which B holds and such that A holds in all the time instants between the current one and ẃ. This “ambivalent” nature poses a significant challenge when attempting to give deduction rules for until. In this paper, in (...)
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  • The Logic of Time in Law and Legal Expert Systems.Ejan Mackaay, Daniel Poulin, Jacques Frémont, Paul Bratley & Constant Déniger - 1990 - Ratio Juris 3 (2):254-271.
    Research on an expert system regarding unemployment insurance law has pointed to the difficulties of explicitly representing temporal relations. The question has been addressed in the artificial intelligence literature with respect to planning systems and linguistic analysis. The approaches adopted do not appear to be directly transposable to legal discourse. The problem seems so far to have escaped notice amongst researchers attempting to develop legal expert systems. The paper explores in a preliminary way how lawyers use temporal concepts. It is (...)
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  • Exploiting patterns of interaction to achieve reactive behavior.D. M. Lyons & A. J. Hendriks - 1995 - Artificial Intelligence 73 (1-2):117-148.
  • An Empirical and Computational Investigation of Perceiving and Remembering Event Temporal Relations.Shulan Lu, Derek Harter & Arthur C. Graesser - 2009 - Cognitive Science 33 (3):345-373.
    Events have beginnings, ends, and often overlap in time. A major question is how perceivers come to parse a stream of multimodal information into meaningful units and how different event boundaries may vary event processing. This work investigates the roles of these three types of event boundaries in constructing event temporal relations. Predictions were made based on how people would err according to the beginning state, end state, and overlap heuristic hypotheses. Participants viewed animated events that include all the logical (...)
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  • Two theories of time.Yunqing Lin - 1991 - Journal of Applied Non-Classical Logics 1 (1):37-63.
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  • Order-sorted logic programming with predicate hierarchy.Ken Kaneiwa - 2004 - Artificial Intelligence 158 (2):155-188.
  • Deliberation for autonomous robots: A survey.Félix Ingrand & Malik Ghallab - 2017 - Artificial Intelligence 247 (C):10-44.
  • Interpreting a dynamic and uncertain world: task-based control.Richard J. Howarth - 1998 - Artificial Intelligence 100 (1-2):5-85.
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  • A Review of Semantic Sensor Technologies in Internet of Things Architectures. [REVIEW]Gergely Marcell Honti & Janos Abonyi - 2019 - Complexity 2019:1-21.
    Intelligent sensors should be seamlessly, securely, and trustworthy interconnected to enable automated high-level smart applications. Semantic metadata can provide contextual information to support the accessibility of these features, making it easier for machines and humans to process the sensory data and achieve interoperability. The unique overview of sensor ontologies according to the semantic needs of the layers of IoT solutions can serve a guideline of engineers and researchers interested in the development of intelligent sensor-based solutions. The explored trends show that (...)
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  • Tractable approximations for temporal constraint handling.Robin Hirsch - 2000 - Artificial Intelligence 116 (1-2):287-295.
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  • Modeling digital circuits for troubleshooting.Walter C. Hamscher - 1991 - Artificial Intelligence 51 (1-3):223-271.
  • A logic of time, chance, and action for representing plans.Peter Haddawy - 1996 - Artificial Intelligence 80 (2):243-308.
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  • Temporal scenario modelling and recognition based on possibilistic logic.Michel Grabisch - 2003 - Artificial Intelligence 148 (1-2):261-289.
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  • A logic-based model of intention formation and action for multi-agent subcontracting.John Grant, Sarit Kraus & Donald Perlis - 2005 - Artificial Intelligence 163 (2):163-201.
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  • Changing legal systems: legal abrogations and annulments in Defeasible Logic.Guido Governatori & Antonino Rotolo - 2010 - Logic Journal of the IGPL 18 (1):157-194.
    In this paper we investigate how to represent and reason about legal abrogations and annulments in Defeasible Logic. We examine some options that embed in this setting, and in similar rule-based systems, ideas from belief and base revision. In both cases, our conclusion is negative, which suggests to adopt a different logical model. This model expresses temporal aspects of legal rules, and distinguishes between two main timelines, one internal to a given temporal version of the legal system, and another relative (...)
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  • Why Base the Knowledge Representation Language on Natural Language?F. Gomez - 2000 - Journal of Intelligent Systems 10 (2):161-182.
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  • Reasoning about action I.Matthew L. Ginsberg & David E. Smith - 1988 - Artificial Intelligence 35 (2):165-195.
  • On point-based temporal disjointness.Alfonso Gerevini & Lenhart Schubert - 1994 - Artificial Intelligence 70 (1-2):347-361.
  • Incremental qualitative temporal reasoning: Algorithms for the Point Algebra and the ORD-Horn class.Alfonso Gerevini - 2005 - Artificial Intelligence 166 (1-2):37-80.
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  • Efficient algorithms for qualitative reasoning about time.Alfonso Gerevini & Lenhart Schubert - 1995 - Artificial Intelligence 74 (2):207-248.
  • Operators vs. Arguments: The Ins and Outs of Reification.Antony Galton - 2006 - Synthese 150 (3):415-441.
    So-called ‘reified temporal logics’ were introduced by researchers in Artificial Intelligence (AI) in the early 1980s, and gave rise to a long-running series of debates concerning the proper way to represent states, events, causation, action, and other notions identified as crucial to the knowledge representation needs of AI. These debates never resulted in a definitive resolution of the issues under discussion, and indeed continue to produce aftershocks to the present day; none the less, we are now sufficiently far removed in (...)
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  • A critical examination of Allen's theory of action and time.Antony Galton - 1990 - Artificial Intelligence 42 (2-3):159-188.
  • Visual Knowledge Representation of Moving Scenes.A. Chella, Μ Frixione & S. Gaglio - 2000 - Journal of Intelligent Systems 10 (4):377-404.
  • The substitutional framework for sorted deduction: Fundamental results on hybrid reasoning.Alan M. Frisch - 1991 - Artificial Intelligence 49 (1-3):161-198.
  • Events and time in a finite and closed world.Francis Y. Lin - 2000 - Nordic Journal of Philosophical Logic 5 (1):3-24.
    There are numerous occasions on which we need to reason about a finite number of events. And we often need to consider only those events which are given or which we perceive. These give rise to the Criteria of Finiteness and Closedness. Allen's logic provides a way of reasoning about events. In this paper I examine Allen and Hayes' axiomatisation of this logic, and develop two other axiomatisations based on the work by Russell and Thomason. I shall show that these (...)
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