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  1. Tense Logic and Ontology of Time.Avril Styrman - 2021 - Emilio M. Sanfilippo Et Al, Eds., Proceedings of FOUST 2021: 5th Workshop on Foundational Ontology, Held at JOWO 2021: Episode VII The Bolzano Summer of Knowledge, September 11–18, 2021, Bolzano, Italy, CEURWS, Vol. 2969, 2021.
    This work aims to make tense logic a more robust tool for ontologists, philosophers, knowledge engineers and programmers by outlining a fusion of tense logic and ontology of time. In order to make tense logic better understandable, the central formal primitives of standard tense logic are derived as theorems from an informal and intuitive ontology of time. In order to make formulation of temporal propositions easier, temporal operators that were introduced by Georg Henrik von Wright are developed, and mapped to (...)
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  • Epistemology and cognition.Stephen W. Smoliar - 1988 - Artificial Intelligence 34 (2):251-264.
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  • The substitutional framework for sorted deduction: Fundamental results on hybrid reasoning.Alan M. Frisch - 1991 - Artificial Intelligence 49 (1-3):161-198.
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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.
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  • The topology of boundaries.Margaret M. Fleck - 1996 - Artificial Intelligence 80 (1):1-27.
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  • Reasoning about causality between distributed nonatomic events.Ajay D. Kshemkalyani - 1997 - Artificial Intelligence 92 (1-2):301-315.
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  • Logical Theories of Intention and the Database Perspective.Yoav Shoham - 2009 - Journal of Philosophical Logic 38 (6):633-647.
    While logical theories of information attitudes, such as knowledge, certainty and belief, have flourished in the past two decades, formalization of other facets of rational behavior have lagged behind significantly. One intriguing line of research concerns the concept of intention. I will discuss one approach to tackling the notion within a logical framework, based on a database perspective.
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  • 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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  • 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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  • Some considerations on non-linear time intervals.El?Bieta Hajnicz - 1995 - Journal of Logic, Language and Information 4 (4):335-357.
    Most of the descriptions of interval time structures in the first order predicate calculus are based on linear time. However, in the case of intervals, abandoning the condition oflinearity (e.g.LIN in van Benthem's systems) is not sufficient. In this paper, some properties of non-linear time structures are discussed. The most important one is the characterization of location of intervals in a fork of branches. This is connected with the fact that an interval can contain non-collinear subintervals. As a result of (...)
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  • Hybrid languages.Patrick Blackburn & Jerry Seligman - 1995 - Journal of Logic, Language and Information 4 (3):251-272.
    Hybrid languages have both modal and first-order characteristics: a Kripke semantics, and explicit variable binding apparatus. This paper motivates the development of hybrid languages, sketches their history, and examines the expressive power of three hybrid binders. We show that all three binders give rise to languages strictly weaker than the corresponding first-order language, that full first-order expressivity can be gained by adding the universal modality, and that all three binders can force the existence of infinite models and have undecidable satisfiability (...)
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  • (1 other version)Vision, knowledge, and the mystery link.John L. Pollock & Iris Oved - 2005 - Noûs 39 (1):309-351.
    Imagine yourself sitting on your front porch, sipping your morning coffee and admiring the scene before you. You see trees, houses, people, automobiles; you see a cat running across the road, and a bee buzzing among the flowers. You see that the flowers are yellow, and blowing in the wind. You see that the people are moving about, many of them on bicycles. You see that the houses are painted different colors, mostly earth tones, and most are one-story but a (...)
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  • Aristotelian Roots of Contemporary Tense Logic.Živilė Pabijutaitė & Pranciškus Gricius - 2024 - Studia Universitatis Babeş-Bolyai Philosophia 69 (2):65-79.
    Tense logic is a branch of contemporary logic which includes formal devices that allow us to deal with the temporal relations between propositions. The aim of our paper is threefold: 1) to reveal how Aristotelian philosophical ideas about time, truth, possibility and necessity were reinterpreted by the founder of contemporay tense logic Arthur Prior; 2) to discuss what novel solutions to the classical problem of future contingents are available using Priorean invention; 3) to describe how the tools of tense logic (...)
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  • Robotlar ve planlama.Varol Akman & Erkan Tin - 1993 - Elektrik Mühendisliği 391:37-43.
    Planlama --- bir amaca ulaşmak üzere bir aksiyonlar bütünü tasarlamak --- yapay zekadaki en temel problemlerden biridir. Bu yazıda, robotikte planlama konusuna mantıkçı (logicist) yaklaşım ele alınmaktadır. [Planning --- devising a plan of action to reach a given goal --- is a fundamental problem in AI. This paper reviews the logicist approach to planning in robotics.].
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  • Towards a general theory of action and time.James F. Allen - 1984 - Artificial Intelligence 23 (2):123-154.
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  • Nonmonotonic logic and temporal projection.Steve Hanks & Drew McDermott - 1987 - Artificial Intelligence 33 (3):379-412.
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  • Temporal logic.Temporal Logic - forthcoming - Stanford Encyclopedia of Philosophy.
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  • The Meaning and Interpretations of the Japanese Aspect Marker -te-i-.Nishiyama Atsuko - 2006 - Journal of Semantics 23 (2):185-216.
    The Japanese marker _-te-i-_ can have progressive, resultative, and existential perfect readings and has often been regarded as ambiguous. This paper shows that there is no clear evidence that _-te-i-_ is ambiguous. It proposes a monosemous analysis of _-te-i-_ that unifies its multiple readings and shows how progressives and perfects can form a natural semantic class. Within the context of a Discourse Representation Theory, I propose that _-te-i-_ consists of an imperfective operator _-te-_ and a stativizer _-i-_. The imperfective operator (...)
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  • ``Defeasible Reasoning with Variable Degrees of Justification".John L. Pollock - 2001 - Artificial Intelligence 133 (1-2):233-282.
    The question addressed in this paper is how the degree of justification of a belief is determined. A conclusion may be supported by several different arguments, the arguments typically being defeasible, and there may also be arguments of varying strengths for defeaters for some of the supporting arguments. What is sought is a way of computing the “on sum” degree of justification of a conclusion in terms of the degrees of justification of all relevant premises and the strengths of all (...)
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  • How does a box work? A study in the qualitative dynamics of solid objects.Ernest Davis - 2011 - Artificial Intelligence 175 (1):299-345.
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  • Point algebras for temporal reasoning: Algorithms and complexity.Mathias Broxvall & Peter Jonsson - 2003 - Artificial Intelligence 149 (2):179-220.
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  • Reasoning agents in a dynamic world: The frame problem.Jozsef A. Toth - 1995 - Artificial Intelligence 73 (1-2):323-369.
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  • Causality as a key to the frame problem.Hideyuki Nakashima, Hitoshi Matsubara & Ichiro Osawa - 1997 - Artificial Intelligence 91 (1):33-50.
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  • Logic in knowledge representation and reasoning: Central topics via readings.Luis M. Augusto - manuscript
    Logic has been a—disputed—ingredient in the emergence and development of the now very large field known as knowledge representation and reasoning. In this book (in progress), I select some central topics in this highly fruitful, albeit controversial, association (e.g., non-monotonic reasoning, implicit belief, logical omniscience, closed world assumption), identifying their sources and analyzing/explaining their elaboration in highly influential published work.
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  • The Little Nell Problem: reasonable and resolute maintenance of agent intentions.Richmond H. Thomason - 2018 - Synthese 195 (1):433-440.
    The Little Nell Problem was formulated by Drew McDermott in 1982. It reveals unexpected complexities in the interaction of the beliefs and intentions of a planning agent. This paper discusses the problem and proposes a solution.
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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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  • A logic of intentions and beliefs.Munindar P. Singh & Nicholas M. Asher - 1993 - Journal of Philosophical Logic 22 (5):513 - 544.
    Intentions are an important concept in Artificial Intelligence and Cognitive Science. We present a formal theory of intentions and beliefs based on Discourse Representation Theory that captures many of their important logical properties. Unlike possible worlds approaches, this theory does not assume that agents are perfect reasoners, and gives a realistic view of their internal architecture; unlike most representational approaches, it has an objective semantics, and does not rely on an ad hoc labeling of the internal states of agents. We (...)
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  • Efficient reasoning about rich temporal domains.Yoav Shoham - 1988 - Journal of Philosophical Logic 17 (4):443 - 474.
    We identify two pragmatic problems in temporal reasoning, the qualification problem and the extended prediction problem, the latter subsuming the infamous frame problem. Solutions to those seem to call for nonmonotonic inferences, and yet naive use of standard nonmonotonic logics turns out to be inappropriate. Looking for an alternative, we first propose a uniform approach to constructing and understanding nonmonotonic logics. This framework subsumes many existing nonmonotonic formalisms, and yet is remarkably simple, adding almost no extra baggage to traditional logic. (...)
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  • From the textual description of an accident to its causes.Daniel Kayser & Farid Nouioua - 2009 - Artificial Intelligence 173 (12-13):1154-1193.
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  • The roles of associational and causal reasoning in problem solving.Reid G. Simmons - 1992 - Artificial Intelligence 53 (2-3):159-207.
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  • A comparison of point-based approaches to qualitative temporal reasoning.James Delgrande, Arvind Gupta & Tim Van Allen - 2001 - Artificial Intelligence 131 (1-2):135-170.
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  • Some considerations on branching areas of time.ElŻbieta Hajnicz - 1999 - Journal of Logic, Language and Information 8 (1):17-43.
    In this paper we show that properties of non-linear time structures have not been studied enough. Axioms forcing the existence of a branching point in a branching area of a structure are presented for various classes of structures. We show also that the classical Dedekind continuity axiom does not work well in non-linear structures and we suggest stronger versions. Finally, some interdependencies between the axioms presented are proved.
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  • Domain-independent planning Representation and plan generation.David E. Wilkins - 1984 - Artificial Intelligence 22 (3):269-301.
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  • Building large knowledge-based systems: Representation and inference in the cyc project.Drew McDermott - 1993 - Artificial Intelligence 61 (1):53-63.
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  • Interpreting a dynamic and uncertain world: task-based control.Richard J. Howarth - 1998 - Artificial Intelligence 100 (1-2):5-85.
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  • The use of dynamics in an intelligent controller for a space faring rescue robot.Marcel Schoppers - 1995 - Artificial Intelligence 73 (1-2):175-230.
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  • World modeling for the dynamic construction of real-time control plans.David J. Musliner, Edmund H. Durfee & Kang G. Shin - 1995 - Artificial Intelligence 74 (1):83-127.
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  • Knowledge and communication: A first-order theory.Ernest Davis - 2005 - Artificial Intelligence 166 (1-2):81-139.
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  • Planning routes through uncertain territory.Drew McDermott & Ernest Davis - 1984 - Artificial Intelligence 22 (2):107-156.
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  • A syntactic theory of belief and action.Andrew R. Haas - 1986 - Artificial Intelligence 28 (3):245-292.
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  • Temporal data base management.Thomas L. Dean & Drew V. McDermott - 1987 - Artificial Intelligence 32 (1):1-55.
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  • Temporal logics in AI: Semantical and ontological considerations.Yoav Shoham - 1987 - Artificial Intelligence 33 (1):89-104.
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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.
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  • O-Plan: The open planning architecture.Ken Currie & Austin Tate - 1991 - Artificial Intelligence 52 (1):49-86.
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  • The token reification approach to temporal reasoning.Lluís Vila & Han Reichgelt - 1996 - Artificial Intelligence 83 (1):59-74.
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  • Temporal agent programs.Jürgen Dix, Sarit Kraus & V. S. Subrahmanian - 2001 - Artificial Intelligence 127 (1):87-135.
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  • Temporal logic.Antony Galton - 2008 - Stanford Encyclopedia of Philosophy.
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  • Introduction: Progress in formal commonsense reasoning.Ernest Davis & Leora Morgenstern - 2004 - Artificial Intelligence 153 (1-2):1-12.
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  • Qualitative process theory.Kenneth D. Forbus - 1984 - Artificial Intelligence 24 (1-3):85-168.
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  • Problems in formal temporal reasoning.Yoav Shoham & Drew McDermott - 1988 - Artificial Intelligence 36 (1):49-61.
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