Results for 'Dynamic'

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  1. Bridging Emotion Theory and Neurobiology Through Dynamic Systems Modeling.Marc D. Lewis - 2005 - Behavioral and Brain Sciences 28 (2):169-194.
    Efforts to bridge emotion theory with neurobiology can be facilitated by dynamic systems (DS) modeling. DS principles stipulate higher-order wholes emerging from lower-order constituents through bidirectional causal processes cognition relations. I then present a psychological model based on this reconceptualization, identifying trigger, self-amplification, and self-stabilization phases of emotion-appraisal states, leading to consolidating traits. The article goes on to describe neural structures and functions involved in appraisal and emotion, as well as DS mechanisms of integration by which they interact. These (...)
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  2.  94
    Virtue Theory as a Dynamic Theory of Business.Surendra Arjoon - 2000 - Journal of Business Ethics 28 (2):159 - 178.
    This paper develops a meta-theory of business based on virtue theory which links the concept of virtues, the common good, and the dynamic economy into a unifying and comprehensive theory of business. Traditional theories and models of business have outlived their usefulness as they are unable to adequately explain social reality. Virtue theory shows firms that pursue ethically-driven strategies can realise a greater profit potential than those firms who currently use profit-driven strategies. The theory expounds that the business of (...)
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  3.  33
    Agreement Theorems in Dynamic-Epistemic Logic.Cédric Dégremont & Oliver Roy - 2012 - Journal of Philosophical Logic 41 (4):735-764.
    This paper introduces Agreement Theorems to dynamic-epistemic logic. We show first that common belief of posteriors is sufficient for agreement in epistemic-plausibility models, under common and well-founded priors. We do not restrict ourselves to the finite case, showing that in countable structures the results hold if and only if the underlying plausibility ordering is well-founded. We then show that neither well-foundedness nor common priors are expressible in the language commonly used to describe and reason about epistemic-plausibility models. The static (...)
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  4.  22
    The Determinants of Green Product Development Performance: Green Dynamic Capabilities, Green Transformational Leadership, and Green Creativity. [REVIEW]Yu-Shan Chen & Ching-Hsun Chang - 2013 - Journal of Business Ethics 116 (1):107-119.
    Because no previous literature discusses the determinants of green product development performance, this study develops an original framework to fill the research gap. This study explores the influences of green dynamic capabilities and green transformational leadership on green product development performance and investigates the mediation role of green creativity. The results demonstrate that green dynamic capabilities and green transformational leadership positively influence green creativity and green product development performance. Besides, this study indicates that the positive relationships between green (...)
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  5.  34
    Inquisitive Dynamic Epistemic Logic.Ivano A. Ciardelli & Floris Roelofsen - 2015 - Synthese 192 (6):1643-1687.
    Information exchange can be seen as a dynamic process of raising and resolving issues. The goal of this paper is to provide a logical framework to model and reason about this process. We develop an inquisitive dynamic epistemic logic , which enriches the standard framework of dynamic epistemic logic , incorporating insights from recent work on inquisitive semantics. At a static level, IDEL does not only allow us to model the information available to a set of agents, (...)
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  6.  13
    The Long-Term Sustenance of Sustainability Practices in MNCs: A Dynamic Capabilities Perspective of the Role of R&D and Internationalization. [REVIEW]Subrata Chakrabarty & Liang Wang - 2012 - Journal of Business Ethics 110 (2):205-217.
    What allows MNCs to maintain their sustainability practices over the long-term? This is an important but under-examined question. To address this question, we investigate both the development and sustenance of sustainability practices. We use the dynamic capabilities perspective, rooted in resource-based view literature, as the theoretical basis. We argue that MNCs that simultaneously pursue both higher R&D intensity and higher internationalization are more capable of developing and maintaining sustainability practices. We test our hypotheses using longitudinal panel data from 1989 (...)
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  7.  39
    Agreeing to Disagree in Probabilistic Dynamic Epistemic Logic.Lorenz Demey - 2014 - Synthese 191 (3):409-438.
    This paper studies Aumann’s agreeing to disagree theorem from the perspective of dynamic epistemic logic. This was first done by Dégremont and Roy (J Phil Log 41:735–764, 2012) in the qualitative framework of plausibility models. The current paper uses a probabilistic framework, and thus stays closer to Aumann’s original formulation. The paper first introduces enriched probabilistic Kripke frames and models, and various ways of updating them. This framework is then used to prove several agreement theorems, which are natural formalizations (...)
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  8.  18
    The Interrogative Model of Inquiry Meets Dynamic Epistemic Logics.Yacin Hamami - 2015 - Synthese 192 (6):1609-1642.
    The Interrogative Model of Inquiry and Dynamic Epistemic Logics are two central paradigms in formal epistemology. This paper is motivated by the observation of a significant complementarity between them: on the one hand, the IMI provides a framework for investigating inquiry represented as an idealized game between an Inquirer and Nature, along with an account of the interaction between questions and inferences in information-seeking processes, but is lacking a formulation in the multi-agent case; on the other hand, DELs model (...)
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  9.  46
    Anti-Dynamics: Presupposition Projection Without Dynamic Semantics. [REVIEW]Philippe Schlenker - 2007 - Journal of Logic, Language and Information 16 (3):325--356.
    Heim 1983 suggested that the analysis of presupposition projection requires that the classical notion of meanings as truth conditions be replaced with a dynamic notion of meanings as Context Change Potentials. But as several researchers (including Heim herself) later noted, the dynamic framework is insufficiently predictive: although it allows one to state that, say, the dynamic effect of F and G is to first update a Context Set C with F and then with G (i.e., C[F and (...)
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  10. Probabilistic Dynamic Belief Revision.Alexandru Baltag & Sonja Smets - 2008 - Synthese 165 (2):179 - 202.
    We investigate the discrete (finite) case of the Popper–Renyi theory of conditional probability, introducing discrete conditional probabilistic models for knowledge and conditional belief, and comparing them with the more standard plausibility models. We also consider a related notion, that of safe belief, which is a weak (non-negatively introspective) type of “knowledge”. We develop a probabilistic version of this concept (“degree of safety”) and we analyze its role in games. We completely axiomatize the logic of conditional belief, knowledge and safe belief (...)
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  11.  36
    Quantum Logic as a Dynamic Logic.Alexandru Baltag & Sonja Smets - 2011 - Synthese 179 (2):285 - 306.
    We address the old question whether a logical understanding of Quantum Mechanics requires abandoning some of the principles of classical logic. Against Putnam and others (Among whom we may count or not E. W. Beth, depending on how we interpret some of his statements), our answer is a clear "no". Philosophically, our argument is based on combining a formal semantic approach, in the spirit of E. W. Beth's proposal of applying Tarski's semantical methods to the analysis of physical theories, with (...)
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  12. Dynamic Thoughts on Ifs and Oughts.Malte Willer - 2014 - Philosophers' Imprint 14 (28):1-30.
    A dynamic semantics for iffy oughts offers an attractive alternative to the folklore that Chisholm's paradox enforces an unhappy choice between the intuitive inference rules of factual and deontic detachment. The first part of the story told here shows how a dynamic theory about ifs and oughts gives rise to a nonmonotonic perspective on deontic discourse and reasoning that elegantly removes the air of paradox from Chisholm's puzzle without sacrificing any of the two detachment principles. The second part (...)
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  13.  78
    NASSLLI 2016 Dynamic Semantics (1): Introduction.Maria Bittner - unknown
    Featured course on "Dynamic Semantics" at NASSLLI 2016. Day 1: Introduction. Abstract: Dynamic semantics is a family of semantic theories that seek to explicate the intuition that saying something changes the context for what follows. We survey the development of formal semantics from static to dynamic formalisms since 1970s. Throughout, we highlight natural language phenomena that motivate dynamic semantics, and the key pre-theoretical concepts -- information state, update, and discourse referent -- which can be implemented in (...)
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  14.  75
    Dynamic Epistemic Logic with Branching Temporal Structures.Tomohiro Hoshi & Audrey Yap - 2009 - Synthese 169 (2):259 - 281.
    van Bentham et al. (Merging frameworks for interaction: DEL and ETL, 2007) provides a framework for generating the models of Epistemic Temporal Logic ( ETL : Fagin et al., Reasoning about knowledge, 1995; Parikh and Ramanujam, Journal of Logic, Language, and Information, 2003) from the models of Dynamic Epistemic Logic ( DEL : Baltag et al., in: Gilboa (ed.) Tark 1998, 1998; Gerbrandy, Bisimulations on Planet Kripke, 1999). We consider the logic TDEL on the merged semantic framework, and its (...)
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  15.  84
    Probabilistic Dynamic Epistemic Logic.Barteld P. Kooi - 2003 - Journal of Logic, Language and Information 12 (4):381-408.
    In this paper I combine the dynamic epistemic logic ofGerbrandy (1999) with the probabilistic logic of Fagin and Halpern (1994). The resultis a new probabilistic dynamic epistemic logic, a logic for reasoning aboutprobability, information, and information change that takes higher orderinformation into account. Probabilistic epistemic models are defined, and away to build them for applications is given. Semantics and a proof systemis presented and a number of examples are discussed, including the MontyHall Dilemma.
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  16. A Modal Approach to Dynamic Ontology: Modal Mereotopology.Dimiter Vakarelov - 2008 - Logic and Logical Philosophy 17 (1-2):163-183.
    In this paper we show how modal logic can be applied in the axiomatizations of some dynamic ontologies. As an example we consider the case of mereotopology, which is an extension of mereology with some relations of topological nature like contact relation. We show that in the modal extension of mereotopology we may define some new mereological and mereotopological relations with dynamic nature like stable part-of and stable contact. In some sense such “stable” relations can be considered as (...)
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  17.  27
    Dynamic Logics of Evidence-Based Beliefs.J. Benthem & E. Pacuit - 2011 - Studia Logica 99 (1-3):61-92.
    This paper adds evidence structure to standard models of belief, in the form of families of sets of worlds. We show how these more fine-grained models support natural actions of “evidence management”, ranging from update with external new information to internal rearrangement. We show how this perspective leads to new richer languages for existing neighborhood semantics for modal logic. Our main results are relative completeness theorems for the resulting dynamic logic of evidence.
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  18.  66
    NASSLLI 2016 Dynamic Semantics (2): Anaphora.Maria Bittner - unknown
    Featured course on "Dynamic Semantics" at NASSLLI 2016. Day 2: Anaphora. Abstract: Cross-linguistic evidence shows that anaphora crucially involves context change. The logical representation system must be able to represent rank-based anaphora, because in every language the favorite anaphors -- e.g. Mandarin zeros, Kalaallisut inflections, English pronouns -- are restricted to refer to top-ranked antecedents (top-level anaphors, like Mandarin zeros or Kalaallisut inflections) or top- or 2nd-ranked antecedents (shallow anaphors, like English pronouns).
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  19. A Conceptual Construction of Complexity Levels Theory in Spacetime Categorical Ontology: Non-Abelian Algebraic Topology, Many-Valued Logics and Dynamic Systems. [REVIEW]R. Brown, J. F. Glazebrook & I. C. Baianu - 2007 - Axiomathes 17 (3-4):409-493.
    A novel conceptual framework is introduced for the Complexity Levels Theory in a Categorical Ontology of Space and Time. This conceptual and formal construction is intended for ontological studies of Emergent Biosystems, Super-complex Dynamics, Evolution and Human Consciousness. A claim is defended concerning the universal representation of an item’s essence in categorical terms. As an essential example, relational structures of living organisms are well represented by applying the important categorical concept of natural transformations to biomolecular reactions and relational structures that (...)
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  20.  57
    NASSLLI 2016 Dynamic Semantics (3): Indexicality.Maria Bittner - unknown
    Featured course on "Dynamic Semantics" at NASSLLI 2016. Day 3: Indexicality. Abstract: Cross-linguistic evidence shows that indexicality, too, crucially involves context change. Speaking up focuses attention on that event and thereby makes it available for discourse reference (by "i", "you", etc). In Kalaallisut, this explains parallel grammatical marking of indexical reference and topic-oriented anaphora. Moreover, shiftable indexicals in Slavey show that certain expressions, e.g. attitude verbs, may update the top perspectival discourse referent from the speech event to an attitude (...)
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  21. From Encyclopedia to Ontology: Toward Dynamic Representation of the Discipline of Philosophy.Cameron Buckner, Mathias Niepert & Colin Allen - 2011 - Synthese 182 (2):205-233.
    The application of digital humanities techniques to philosophy is changing the way scholars approach the discipline. This paper seeks to open a discussion about the difficulties, methods, opportunities, and dangers of creating and utilizing a formal representation of the discipline of philosophy. We review our current project, the Indiana Philosophy Ontology (InPhO) project, which uses a combination of automated methods and expert feedback to create a dynamic computational ontology for the discipline of philosophy. We argue that our distributed, expert-based (...)
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  22.  83
    The Dynamic Turn in Quantum Logic.Alexandru Baltag & Sonja Smets - 2012 - Synthese 186 (3):753 - 773.
    In this paper we show how ideas coming from two areas of research in logic can reinforce each other. The first such line of inquiry concerns the "dynamic turn" in logic and especially the formalisms inspired by Propositional Dynamic Logic (PDL); while the second line concerns research into the logical foundations of Quantum Physics, and in particular the area known as Operational Quantum Logic, as developed by Jauch and Piron (Helve Phys Acta 42: 842-848, 1969), Pirón (Foundations of (...)
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  23.  81
    Bridging Learning Theory and Dynamic Epistemic Logic.Nina Gierasimczuk - 2009 - Synthese 169 (2):371-384.
    This paper discusses the possibility of modelling inductive inference (Gold 1967) in dynamic epistemic logic (see e.g. van Ditmarsch et al. 2007). The general purpose is to propose a semantic basis for designing a modal logic for learning in the limit. First, we analyze a variety of epistemological notions involved in identification in the limit and match it with traditional epistemic and doxastic logic approaches. Then, we provide a comparison of learning by erasing (Lange et al. 1996) and iterated (...)
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  24.  66
    Dynamic Decision Making When Risk Perception Depends on Past Experience.Michèle Cohen, Johanna Etner & Meglena Jeleva - 2008 - Theory and Decision 64 (2-3):173-192.
    The aim of the paper is to propose a preferences representation model under risk where risk perception can be past experience dependent. A first step consists in considering a one period decision problem where individual preferences are no more defined only on decisions but on pairs (decision, past experience). The obtained criterion is used in the construction of a dynamic choice model under risk. The paper ends with an illustrative example concerning insurance demand. It appears that our model allows (...)
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  25.  49
    Extending Probabilistic Dynamic Epistemic Logic.Joshua Sack - 2009 - Synthese 169 (2):241 - 257.
    This paper aims to extend in two directions the probabilistic dynamic epistemic logic provided in Kooi’s paper (J Logic Lang Inform 12(4):381–408, 2003) and to relate these extensions to ones made in van Benthem et al. (Proceedings of LOFT’06. Liverpool, 2006). Kooi’s probabilistic dynamic epistemic logic adds to probabilistic epistemic logic sentences that express consequences of public announcements. The paper (van Benthem et al., Proceedings of LOFT’06. Liverpool, 2006) extends (Kooi, J Logic Lang Inform 12(4):381–408, 2003) to using (...)
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  26.  26
    Toward an Interpretation of Dynamic Neural Activity in Terms of Chaotic Dynamical Systems.Ichiro Tsuda - 2001 - Behavioral and Brain Sciences 24 (5):793-810.
    Using the concepts of chaotic dynamical systems, we present an interpretation of dynamic neural activity found in cortical and subcortical areas. The discovery of chaotic itinerancy in high-dimensional dynamical systems with and without a noise term has motivated a new interpretation of this dynamic neural activity, cast in terms of the high-dimensional transitory dynamics among “exotic” attractors. This interpretation is quite different from the conventional one, cast in terms of simple behavior on low-dimensional attractors. Skarda and Freeman (1987) (...)
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  27. Review of McLennen *Rationality and Dynamic Choice*. [REVIEW]Adam Morton - 1992 - Mind 101 (402):381-383.
    review of McLennen's *Rationality and Dynamic Choice*. The topic is important and the discussion is powerful. Some connection with modelling and simulation would be valuable.
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  28. Dynamic Beliefs and the Passage of Time.Darren Bradley - 2013 - In A. Capone & N. Feit (eds.), Attitudes De Se. University of Chicago.
    How should our beliefs change over time? Much has been written about how our beliefs should change in the light of new evidence. But that is not the question I’m asking. Sometimes our beliefs change without new evidence. I previously believed it was Sunday. I now believe it’s Monday. In this paper I discuss the implications of such beliefs for philosophy of language. I will argue that we need to allow for ‘dynamic’ beliefs, that we need new norms of (...)
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  29.  39
    Sequence Semantics for Dynamic Predicate Logic.C. F. M. Vermeulen - 1993 - Journal of Logic, Language and Information 2 (3):217-254.
    In this paper a semantics for dynamic predicate logic is developed that uses sequence valued assignments. This semantics is compared with the usual relational semantics for dynamic predicate logic: it is shown that the most important intuitions of the usual semantics are preserved. Then it is shown that the refined semantics reflects out intuitions about information growth. Some other issues in dynamic semantics are formulated and discussed in terms of the new sequence semantics.
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  30.  75
    Situated Cognition, Dynamic Systems, and Art: On Artistic Creativity and Aesthetic Experience.Ingar Brinck - 2007 - Janus Head 9 (2):407-431.
    It is argued that the theory of situated cognition together with dynamic systems theory can explain the core of artistic practice and aesthetic experience, and furthermore paves the way for an account of how artist and audience can meet via the artist’s work. The production and consumption of art is an embodied practice, firmly based in perception and action, and supported by features of the local, agent-centered and global, socio-cultural contexts. Artistic creativity and aesthetic experience equally result from the (...)
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  31.  35
    Capturing Dynamic Conceptual Frames.Rafal Urbaniak - 2010 - Logic Journal of the IGPL 18 (3):430-455.
    The main focus of this paper is to develop an adaptive formal apparatus capable of capturing (certain types of) reasoning conducted within the framework of the so-called dynamic conceptual frames. I first explain one of the most recent theories of concepts developed by cognitivists, in which a crucial part is played by the notion of a dynamic frame. Next, I describe how a dynamic frame may be captured by a finite set of first-order formulas and how a (...)
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  32.  28
    On Combinations of Propositional Dynamic Logic and Doxastic Modal Logics.Renate A. Schmidt & Dmitry Tishkovsky - 2007 - Journal of Logic, Language and Information 17 (1):109-129.
    We prove completeness and decidability results for a family of combinations of propositional dynamic logic and unimodal doxastic logics in which the modalities may interact. The kind of interactions we consider include three forms of commuting axioms, namely, axioms similar to the axiom of perfect recall and the axiom of no learning from temporal logic, and a Church–Rosser axiom. We investigate the influence of the substitution rule on the properties of these logics and propose a new semantics for the (...)
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  33.  44
    Context Dependence and Consistency in Dynamic Choice Under Uncertainty: The Case of Anticipated Regret. [REVIEW]Takashi Hayashi - 2011 - Theory and Decision 70 (4):399-430.
    We examine if and to what extent choice dispositions can allow dependence on contexts and maintain consistency over time, in a dynamic environment under uncertainty. We focus on one of the context dependence properties, opportunity dependence because of being affected by anticipated regret, where the consequentialist choice framework is maintained. There are two sources of potential inconsistency: one is arrival of information, and the other is changing opportunities. First, we go over the general method of resolution of potential inconsistency, (...)
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  34.  15
    Autonomy in Action: Linking the Act of Looking to Memory Formation in Infancy Via Dynamic Neural Fields.Sammy Perone & John P. Spencer - 2013 - Cognitive Science 37 (1):1-60.
    Looking is a fundamental exploratory behavior by which infants acquire knowledge about the world. In theories of infant habituation, however, looking as an exploratory behavior has been deemphasized relative to the reliable nature with which looking indexes active cognitive processing. We present a new theory that connects looking to the dynamics of memory formation and formally implement this theory in a Dynamic Neural Field model that learns autonomously as it actively looks and looks away from a stimulus. We situate (...)
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  35.  17
    Dynamic Capabilities and Base of the Pyramid Business Strategies.Pete Tashman & Valentina Marano - 2009 - Journal of Business Ethics 89 (4):495 - 514.
    Numerous scholars have observed that the relationship between poverty and violent conflict is endogenous. As a result, the area of Peace Through Commerce argues as one of its central tenets that the institution of business may be able to contribute to sustainable peace by creating economic development where poverty is a critical issue. While this argument may be valid, it leaves the question open — what is the business case for engaging in poverty alleviation business strategies? Strategic Management scholars are (...)
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  36.  6
    Dynamic Transparency, Prudential Justice, and Corporate Transformation: Becoming Socially Responsible in the Internet Age. [REVIEW]Peter Madsen - 2009 - Journal of Business Ethics 90 (4):639 - 648.
    This article brings together two concepts of ethical practice into a single construct that describes how modern corporations can responsibly meet the information needs of their stakeholder networks in a way that promotes both corporate self-interest and widespread distributive justice. Internet technology is providing corporations with transformative tools that permit and encourage the exercise of social responsibility through "dynamic transparency." "Prudential justice" is a concept representing a set of values that can provide an ethical justification for corporate implementation of (...)
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  37. Dynamic Systems as Tools for Analysing Human Judgement.Joachim Funke - 2001 - Thinking and Reasoning 7 (1):69 – 89.
    With the advent of computers in the experimental labs, dynamic systems have become a new tool for research on problem solving and decision making. A short review of this research is given and the main features of these systems (connectivity and dynamics) are illustrated. To allow systematic approaches to the influential variables in this area, two formal frameworks (linear structural equations and finite state automata) are presented. Besides the formal background, the article sets out how the task demands of (...)
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  38.  36
    On Dependent Pronouns and Dynamic Semantics.Rick Nouwen - 2007 - Journal of Philosophical Logic 36 (2):123-154.
    Within natural language semantics, pronouns are often thought to correspond to variables whose values are contributed by contextual assignment functions. This paper concerns the application of this idea to cases where the antecedent of a pronoun is a plural quantifiers. The paper discusses the modelling of accessibility patterns of quantifier antecedents in a dynamic theory of interpretation. The goal is to reach a semantics of quantificational dependency which yields a fully semantic notion of pronominal accessibility. I argue that certain (...)
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  39.  45
    A Dynamic Context Model of Interactive Behavior.Wai-Tat Fu - 2011 - Cognitive Science 35 (5):874-904.
    A dynamic context model of interactive behavior was developed to explain results from two experiments that tested the effects of interaction costs on encoding strategies, cognitive representations, and response selection processes in a decision-making and a judgment task. The model assumes that the dynamic context defined by the mixes of internal and external representations and processes are sensitive to the interaction cost imposed by the task environment. The model predicts that changes in the dynamic context may lead (...)
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  40.  60
    Multiple-Stage Decision-Making: The Effect of Planning Horizon Length on Dynamic Consistency.Joseph G. Johnson & Jerome R. Busemeyer - 2001 - Theory and Decision 51 (2/4):217-246.
    Many decisions involve multiple stages of choices and events, and these decisions can be represented graphically as decision trees. Optimal decision strategies for decision trees are commonly determined by a backward induction analysis that demands adherence to three fundamental consistency principles: dynamic, consequential, and strategic. Previous research found that decision-makers tend to exhibit violations of dynamic and strategic consistency at rates significantly higher than choice inconsistency across various levels of potential reward. The current research extends these findings under (...)
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  41.  17
    Dynamic Topological Logic Interpreted Over Minimal Systems.David Fernández-Duque - 2011 - Journal of Philosophical Logic 40 (6):767-804.
    Dynamic Topological Logic ( ) is a modal logic which combines spatial and temporal modalities for reasoning about dynamic topological systems , which are pairs consisting of a topological space X and a continuous function f : X → X . The function f is seen as a change in one unit of time; within one can model the long-term behavior of such systems as f is iterated. One class of dynamic topological systems where the long-term behavior (...)
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  42. The Stanford Encyclopedia of Philosophy: A Developed Dynamic Reference Work.Colin Allen, Uri Nodelman & Edward N. Zalta - 2002 - In James Moor & Terrell Ward Bynum (eds.), Metaphilosophy. Blackwell. pp. 210-228.
    In this entry, the authors outline the goals of a "dynamic reference work", and explain how the Stanford Encyclopedia of Philosophy has been designed to achieve those goals.
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  43.  60
    A Multilevel Architecture of Creative Dynamic Agency.Francesco Amigoni, Viola Schiaffonati & Marco Somalvico - 2000 - Foundations of Science 5 (2):157-184.
    There are two classical and opposite positions about scientific discovery: the one that conceives scientific discovery activity as fully rational and the one that conceives scientific discovery activity as fully irrational. In the first case, machines are regarded as able to perform the scientific discovery process whereas, in the second case, machines are considered unable to perform any part of the scientific discovery process.We adopt a third intermediate approach that envisages a new role for machines, which are conceived as descriptions (...)
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  44.  38
    Markov Interactions in a Class of Dynamic Games.Charles Figuières - 2009 - Theory and Decision 66 (1):39-68.
    This paper contributes to the understanding of economic strategic behaviors in inter-temporal settings. Comparing the MPE and the OLNE of a widely used class of differential games it is shown: (i) what qualifications on behaviors a markov (dynamic) information structure brings about compared with an open-loop (static) information structure, (ii) what is the reason leading to intensified or reduced competition between the agents in the long run. It depends on whether agents’ interactions are characterized by markov substitutability or markov (...)
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    Grounding Cognitive‐Level Processes in Behavior: The View From Dynamic Systems Theory.Larissa K. Samuelson, Gavin W. Jenkins & John P. Spencer - 2015 - Topics in Cognitive Science 7 (2):191-205.
    Marr's seminal work laid out a program of research by specifying key questions for cognitive science at different levels of analysis. Because dynamic systems theory focuses on time and interdependence of components, DST research programs come to very different conclusions regarding the nature of cognitive change. We review a specific DST approach to cognitive-level processes: dynamic field theory. We review research applying DFT to several cognitive-level processes: object permanence, naming hierarchical categories, and inferring intent, that demonstrate the difference (...)
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  46.  42
    Dynamic Stochastic Dominance in Bandit Decision Problems.Thierry Magnac & Jean-Marc Robin - 1999 - Theory and Decision 47 (3):267-295.
    The aim of this paper is to study the monotonicity properties with respect to the probability distribution of the state processes, of optimal decisions in bandit decision problems. Orderings of dynamic discrete projects are provided by extending the notion of stochastic dominance to stochastic processes.
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  47.  17
    An Equational Axiomatization of Dynamic Negation and Relational Composition.Marco Hollenberg - 1997 - Journal of Logic, Language and Information 6 (4):381-401.
    We consider algebras on binary relations with two main operators: relational composition and dynamic negation. Relational composition has its standard interpretation, while dynamic negation is an operator familiar to students of Dynamic Predicate Logic (DPL) (Groenendijk and Stokhof, 1991): given a relation R its dynamic negation R is a test that contains precisely those pairs (s,s) for which s is not in the domain of R. These two operators comprise precisely the propositional part of DPL.This paper (...)
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  48.  9
    The Psychology of Dynamic Probability Judgment: Order Effect, Normative Theories, and Experimental Methodology.Jean Baratgin & Guy Politzer - 2007 - Mind and Society 6 (1):53-66.
    The Bayesian model is used in psychology as the reference for the study of dynamic probability judgment. The main limit induced by this model is that it confines the study of revision of degrees of belief to the sole situations of revision in which the universe is static (revising situations). However, it may happen that individuals have to revise their degrees of belief when the message they learn specifies a change of direction in the universe, which is considered as (...)
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    Attractor Spaces as Modules: A Semi-Eliminative Reduction of Symbolic AI to Dynamic Systems Theory. [REVIEW]Teed Rockwell - 2004 - Minds and Machines 15 (1):23-55.
    I propose a semi-eliminative reduction of Fodors concept of module to the concept of attractor basin which is used in Cognitive Dynamic Systems Theory (DST). I show how attractor basins perform the same explanatory function as modules in several DST based research program. Attractor basins in some organic dynamic systems have even been able to perform cognitive functions which are equivalent to the If/Then/Else loop in the computer language LISP. I suggest directions for future research programs which could (...)
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  50.  57
    Modeling of Phenomena and Dynamic Logic of Phenomena.Boris Kovalerchuk, Leonid Perlovsky & Gregory Wheeler - 2012 - Journal of Applied Non-Classical Logic 22 (1):1-82.
    Modeling a complex phenomena such as the mind presents tremendous computational complexity challenges. Modeling field theory (MFT) addresses these challenges in a non-traditional way. The main idea behind MFT is to match levels of uncertainty of the model (also, a problem or some theory) with levels of uncertainty of the evaluation criterion used to identify that model. When a model becomes more certain, then the evaluation criterion is adjusted dynamically to match that change to the model. This process is called (...)
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