Results for 'Model checking'

994 found
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  1. Model-checking CTL* over flat Presburger counter systems.Stéphane Demri, Alain Finkel, Valentin Goranko & Govert van Drimmelen - 2010 - Journal of Applied Non-Classical Logics 20 (4):313-344.
    This paper concerns model-checking of fragments and extensions of CTL* on infinite-state Presburger counter systems, where the states are vectors of integers and the transitions are determined by means of relations definable within Presburger arithmetic. In general, reachability properties of counter systems are undecidable, but we have identified a natural class of admissible counter systems (ACS) for which we show that the quantification over paths in CTL* can be simulated by quantification over tuples of natural numbers, eventually allowing (...)
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  2. LTL model checking for security protocols.Alessandro Armando, Roberto Carbone & Luca Compagna - 2009 - Journal of Applied Non-Classical Logics 19 (4):403-429.
    Most model checking techniques for security protocols make a number of simplifying assumptions on the protocol and/or on its execution environment that greatly complicate or even prevent their applicability in some important cases. For instance, most techniques assume that communication between honest principals is controlled by a Dolev-Yao intruder, i.e. a malicious agent capable to overhear, divert, and fake messages. Yet we might be interested in establishing the security of a protocol that relies on a less unsecure channel (...)
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  3.  58
    Model checking for hybrid logic.Martin Lange - 2009 - Journal of Logic, Language and Information 18 (4):465-491.
    We consider the model checking problem for Hybrid Logic. Known algorithms so far are global in the sense that they compute, inductively, in every step the set of all worlds of a Kripke structure that satisfy a subformula of the input. Hence, they always exploit the entire structure. Local model checking tries to avoid this by only traversing necessary parts of the input in order to establish or refute the satisfaction relation between a given world and (...)
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  4. Model Checking of Persuasion in Multi-Agent Systems.Katarzyna Budzyńska & Magdalena Kacprzak - 2011 - Studies in Logic, Grammar and Rhetoric 23 (36).
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  5.  67
    Model checking techniqes for the analysis of reactive systems.Stephan Merz - 2002 - Synthese 133 (1-2):173 - 201.
    Model checking is a widely used technique that aids in the designand debugging of reactive systems. This paper gives an overview onthe theory and algorithms used for model checking, with a biastowards automata-theoretic approaches and linear-time temporallogic. We also describe elementary abstraction techniques useful forlarge systems that cannot be directly handled by model checking.
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  6.  30
    Model checking hybrid logics.Massimo Franceschet & Maarten de Rijke - 2006 - Journal of Applied Logic 4 (3):279-304.
  7.  4
    From model checking to equilibrium checking: Reactive modules for rational verification.Julian Gutierrez, Paul Harrenstein & Michael Wooldridge - 2017 - Artificial Intelligence 248 (C):123-157.
  8.  24
    Model checking propositional dynamic logic with all extras.Martin Lange - 2006 - Journal of Applied Logic 4 (1):39-49.
  9.  13
    Bounded model checking of strategy ability with perfect recall.Xiaowei Huang - 2015 - Artificial Intelligence 222 (C):182-200.
  10.  4
    Enhancing model checking in verification by AI techniques.Francesco Buccafurri, Thomas Eiter, Georg Gottlob & Nicola Leone - 1999 - Artificial Intelligence 112 (1-2):57-104.
  11.  2
    Bounded model checking for knowledge and real time.Alessio Lomuscio, Wojciech Penczek & Bożena Woźna - 2007 - Artificial Intelligence 171 (16-17):1011-1038.
  12.  25
    Symbolic model checking of logics with actions.Charles Pecheur & Franco Raimondi - 2007 - In A. Lomuscio & S. Edelkamp (eds.), Model Checking and Artificial Intelligence. Springer. pp. 113--128.
  13.  28
    Bounded model checking real-time multi-agent systems with clock differences: theory and implementation.Alessio Lomuscio, Bożena Woźna & Andrzej Zbrzezny - 2007 - In A. Lomuscio & S. Edelkamp (eds.), Model Checking and Artificial Intelligence. Springer. pp. 95--112.
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  14. Scientific Theories of Computational Systems in Model Checking.Nicola Angius & Guglielmo Tamburrini - 2011 - Minds and Machines 21 (2):323-336.
    Model checking, a prominent formal method used to predict and explain the behaviour of software and hardware systems, is examined on the basis of reflective work in the philosophy of science concerning the ontology of scientific theories and model-based reasoning. The empirical theories of computational systems that model checking techniques enable one to build are identified, in the light of the semantic conception of scientific theories, with families of models that are interconnected by simulation relations. (...)
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  15.  7
    A Symbolic Model Checking Framework for Safety Analysis, Diagnosis, and Synthesis.Piergiorgio Bertoli, Marco Bozzano & Alessandro Cimatti - 2007 - In A. Lomuscio & S. Edelkamp (eds.), Model Checking and Artificial Intelligence. Springer. pp. 1--18.
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  16.  6
    Guttman Algebras and a Model Checking Procedure for Guttman Scales.Günther Gediga & Ivo Düntsch - 2018 - In Michał Zawidzki & Joanna Golińska-Pilarek (eds.), Ewa Orłowska on Relational Methods in Logic and Computer Science. Cham, Switzerland: Springer Verlag.
    We consider Guttman scales both from an algebraic and a statistical point of view. We present a duality between a class of algebras and Guttman scalable response structures, and show that the index of reproducibility is not always a reliable indicator for the Guttman scalability of a data set. Furthermore, we present a model checking procedure, and close with an example.
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  17.  6
    Conformant planning via symbolic model checking and heuristic search.A. Cimatti, M. Roveri & P. Bertoli - 2004 - Artificial Intelligence 159 (1-2):127-206.
  18.  14
    Checking EMTLK Properties of Timed Interpreted Systems Via Bounded Model Checking.Bożena Woźna-Szcześniak & Andrzej Zbrzezny - 2016 - Studia Logica 104 (4):641-678.
    We investigate a SAT-based bounded model checking method for EMTLK that is interpreted over timed models generated by timed interpreted systems. In particular, we translate the existential model checking problem for EMTLK to the existential model checking problem for a variant of linear temporal logic, and we provide a SAT-based BMC technique for HLTLK. We evaluated the performance of our BMC by means of a variant of a timed generic pipeline paradigm scenario and a (...)
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  19.  20
    Real-time model checking on secondary storage.Stefan Edelkamp & Shahid Jabbar - 2007 - In A. Lomuscio & S. Edelkamp (eds.), Model Checking and Artificial Intelligence. Springer. pp. 67--83.
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  20.  21
    A framework for model checking institutions.Francesco Vigano - 2007 - In A. Lomuscio & S. Edelkamp (eds.), Model Checking and Artificial Intelligence. Springer. pp. 129--145.
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  21.  28
    Combinations of model checking and theorem proving.Tomás E. Uribe - 2000 - In Dov M. Gabbay & Maarten de Rijke (eds.), Frontiers of Combining Systems. Research Studies Press. pp. 151--170.
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  22.  34
    Extended full computation-tree logics for paraconsistent model checking.Norihiro Kamide - 2007 - Logic and Logical Philosophy 15 (3):251-276.
    It is known that the full computation-tree logic CTL * is an important base logic for model checking. The bisimulation theorem for CTL* is known to be useful for abstraction in model checking. In this paper, the bisimulation theorems for two paraconsistent four-valued extensions 4CTL* and 4LCTL* of CTL* are shown, and a translation from 4CTL* into CTL* is presented. By using 4CTL* and 4LCTL*, inconsistency-tolerant and spatiotemporal reasoning can be expressed as a model (...) framework. (shrink)
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  23.  5
    Weak, strong, and strong cyclic planning via symbolic model checking.A. Cimatti, M. Pistore, M. Roveri & P. Traverso - 2003 - Artificial Intelligence 147 (1-2):35-84.
  24.  58
    An alternating-time temporal logic with knowledge, perfect recall and past: axiomatisation and model-checking.Dimitar P. Guelev, Catalin Dima & Constantin Enea - 2011 - Journal of Applied Non-Classical Logics 21 (1):93-131.
    We present a variant of ATL with incomplete information which includes the distributed knowledge operators corresponding to synchronous action and perfect recall. The cooperation modalities assume the use the distributed knowledge of coalitions and accordingly refer to perfect recall incomplete information strategies. We propose a model-checking algorithm for the logic. It is based on techniques for games with imperfect information and partially observable objectives, and involves deciding emptiness for automata on infinite trees. We also propose an axiomatic system (...)
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  25. Surprise and evidence in statistical model checking.Jan Sprenger - unknown
    There is considerable confusion about the role of p-values in statistical model checking. To clarify that point, I introduce the distinction between measures of surprise and measures of evidence which come with different epistemological functions. I argue that p-values, often understood as measures of evidence against a null model, do not count as proper measures of evidence and are closer to measures of surprise. Finally, I sketch how the problem of old evidence may be tackled by acknowledging (...)
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  26.  43
    A Sat-Based Approach to Unbounded Model Checking for Alternating-Time Temporal Epistemic Logic.M. Kacprzak & W. Penczek - 2004 - Synthese 142 (2):203-227.
    This paper deals with the problem of verification of game-like structures by means of symbolic model checking. Alternating-time Temporal Epistemic Logic (ATEL) is used for expressing properties of multi-agent systems represented by alternating epistemic temporal systems as well as concurrent epistemic game structures. Unbounded model checking (a SAT based technique) is applied for the first time to verification of ATEL. An example is given to show an application of the technique.
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  27.  13
    Automatic verification of multi-agent systems by model checking via ordered binary decision diagrams.Franco Raimondi & Alessio Lomuscio - 2007 - Journal of Applied Logic 5 (2):235-251.
  28.  89
    PDL with intersection and converse: satisfiability and infinite-state model checking.Stefan Göller, Markus Lohrey & Carsten Lutz - 2009 - Journal of Symbolic Logic 74 (1):279-314.
    We study satisfiability and infinite-state model checking in ICPDL, which extends Propositional Dynamic Logic (PDL) with intersection and converse operators on programs. The two main results of this paper are that (i) satisfiability is in 2EXPTIME, thus 2EXPTIME-complete by an existing lower bound, and (ii) infinite-state model checking of basic process algebras and pushdown systems is also 2EXPTIME-complete. Both upper bounds are obtained by polynomial time computable reductions to ω-regular tree satisfiability in ICPDL, a reasoning problem (...)
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  29. Extended Full Computation-tree Logics For Paraconsistent Model Checking.Norihiro Kamide - 2006 - Logic and Logical Philosophy 15:251-267.
    It is known that the full computation-tree logic CTL∗is an important base logic for model checking. The bisimulation theorem for CTL∗is known to be useful for abstraction in model checking. In this paper, thebisimulation theorems for two paraconsistent four-valued extensions 4CTL∗and 4LCTL∗of CTL∗are shown, and a translation from 4CTL∗into CTL∗ispresented. By using 4CTL∗and 4LCTL∗, inconsistency-tolerant and spatiotemporal reasoning can be expressed as a model checking framework.
     
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  30.  17
    Social Bot Detection as a Temporal Logic Model Checking Problem.Mina Young Pedersen, Marija Slavkovik & Sonja Smets - 2021 - In Sujata Ghosh & Thomas Icard (eds.), Logic, Rationality, and Interaction: 8th International Workshop, Lori 2021, Xi’an, China, October 16–18, 2021, Proceedings. Springer Verlag. pp. 158-173.
    Software-controlled bots, also called social bots, are computer programs that act like human users on social media platforms. Recent work on detection of social bots is dominated by machine learning approaches. In this paper we explore bot detection as a model checking problem. We introduce Temporal Network Logic which we use to specify social networks where agents can post and follow each other. In this logic we formalize different types of social bot behavior. These are formulas that are (...)
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  31.  8
    The Complexity of Temporal Logic Model Checking.Ph Schoebelen - 1998 - In Marcus Kracht, Maarten de Rijke, Heinrich Wansing & Michael Zakharyaschev (eds.), Advances in Modal Logic. CSLI Publications. pp. 393-436.
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  32.  13
    Temporal logics for concurrent recursive programs: Satisfiability and model checking.Benedikt Bollig, Aiswarya Cyriac, Paul Gastin & Marc Zeitoun - 2014 - Journal of Applied Logic 12 (4):395-416.
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  33.  22
    Minimal proof search for modal logic k model checking.Abdallah Saffidine - 2012 - In Luis Farinas del Cerro, Andreas Herzig & Jerome Mengin (eds.), Logics in Artificial Intelligence. Springer. pp. 346--358.
  34.  19
    Indiscrete Models: Model Building and Model Checking over Linear Time.Tim French, John McCabe-Dansted & Mark Reynolds - 2013 - In Kamal Lodaya (ed.), Logic and its Applications. Springer. pp. 50--68.
  35.  24
    Distributed extended beam search for quantitative model checking.Anton J. Wijs & Bert Lisser - 2007 - In A. Lomuscio & S. Edelkamp (eds.), Model Checking and Artificial Intelligence. Springer. pp. 166--184.
  36. Checking for fair simulation in models with B uchi fairness constraints.Doron Bustan & Orna Grumberg - 2000 - Complexity 50:39.
     
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  37. Body Checking in Anorexia Nervosa: from Inquiry to Habit.Asbjørn Steglich-Petersen & Somogy Varga - forthcoming - Review of Philosophy and Psychology:1-18.
    Body checking, characterized by the repeated visual or physical inspection of particular parts of one’s own body (e.g. thighs, waist, or upper arms) is one of the most prominent behaviors associated with eating disorders, particularly Anorexia Nervosa (AN). In this paper, we explore the explanatory potential of the Recalcitrant Fear Model of AN (RFM) in relation to body checking. We argue that RFM, when combined with certain plausible auxiliary hypotheses about the cognitive and epistemic roles of emotions, (...)
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  38.  2
    The Family Check-Up Online: A Telehealth Model for Delivery of Parenting Skills to High-Risk Families With Opioid Use Histories.Elizabeth A. Stormshak, Jordan M. Matulis, Whitney Nash & Yijun Cheng - 2021 - Frontiers in Psychology 12.
    Growing opioid misuse in the United States has resulted in more children living with an adult with an opioid use history. Although an abundance of research has demonstrated a link between opioid misuse and negative parenting behaviors, few intervention efforts have been made to target this underserved population. The Family Check-Up has been tested in more than 25 years of research, across multiple settings, and is an evidence-based program for reducing risk behavior, enhancing parenting skills, and preventing the onset of (...)
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  39.  24
    Model-based abductive reasoning in automated software testing.N. Angius - 2013 - Logic Journal of the IGPL 21 (6):931-942.
    Automated Software Testing (AST) using Model Checking is in this article epistemologically analysed in order to argue in favour of a model-based reasoning paradigm in computer science. Preliminarily, it is shown how both deductive and inductive reasoning are insufficient to determine whether a given piece of software is correct with respect to specified behavioural properties. Models algorithmically checked in Model Checking to select executions to be observed in Software Testing are acknowledged as analogical models which (...)
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  40.  46
    Checking our sources: the origins of trust in testimony.Paul L. Harris - 2002 - Studies in History and Philosophy of Science Part A 33 (2):315-333.
    Developmental psychologists have often portrayed young children as stubborn autodidacts who ignore the testimony of others. Yet the basic design of the human cognitive system indicates an early ability to co-ordinate information derived from first-hand observation with information derived from testimony. There is no obvious tendency to favour the former over the latter. Indeed, young children are relatively poor at monitoring whether they learned something from observation or from testimony. Moreover, the processes by which children and adults understand and remember (...)
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  41.  11
    The Check-list Approach in Personalized Medicine.Arnd T. May & Hans-Martin Sass - 2013 - Eubios Journal of Asian and International Bioethics 23 (5):160-164.
    Modern medicine, based on enormous progress in science and its applications, has lost dimensions of individualized treatment and compassion which traditionally were an essential part of physician’s service over the millennia in Eastern and Western cultures. Today diseases and symptoms, rather than persons, are treated, based on objective quality norms and inflexible payment schemes rather than the rather than persons. We present a checklist model for personalized health care, which has been successful in teaching and practice to reclaim lost (...)
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  42.  5
    Making a List, Checking it Twice.Richard Hancuff & Noreen O'Connor - 2010 - In Fritz Allhoff & Scott C. Lowe (eds.), Christmas ‐ Philosophy for Everyone. Oxford, UK: Wiley‐Blackwell. pp. 104–113.
    This chapter contains sections titled: Santa, Genealogy, and History Power/Knowledge: The Gift That Keeps on Giving “He sees you when you're sleeping”: Foucault's Theory of Panopticism “He's making a list, he's checking it twice” Naughty or Nice: The True Meaning of Discipline The Archeology of Christmas.
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  43. Can We Detect Bias in Political Fact-Checking? Evidence from a Spanish Case Study.David Teira, Alejandro Fernandez-Roldan, Carlos Elías & Carlos Santiago-Caballero - 2023 - Journalism Practice 10.
    Political fact-checkers evaluate the truthfulness of politicians’ claims. This paper contributes to an emerging scholarly debate on whether fact-checkers treat political parties differently in a systematic manner depending on their ideology (bias). We first examine the available approaches to analyze bias and then present a new approach in two steps. First, we propose a logistic regression model to analyze the outcomes of fact-checks and calculate how likely each political party will obtain a truth score. We test our model (...)
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  44.  37
    Action Models for Coalition Logic.Rustam Galimullin & Thomas Ågotnes - 2023 - In Carlos Areces & Diana Costa (eds.), Dynamic Logic. New Trends and Applications: 4th International Workshop, DaLí 2022, Haifa, Israel, July 31–August 1, 2022, Revised Selected Papers. Springer Verlag. pp. 73-89.
    In the paper, we study the dynamics of coalitional ability by proposing an extension of coalition logic (CL). CL allows one to reason about what a coalition of agents is able to achieve through a joint action, no matter what agents outside of the coalition do. The proposed dynamic extension is inspired by dynamic epistemic logic, and, in particular, by action models. We call the resulting logic coalition action model logic (CAML), which, compared to CL, includes additional modalities for (...)
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  45.  17
    Logical Models of Informational Cascades.Alexandru Baltag, Zoé Christoff, Jens Ulrik Hansen & Sonja Smets - 2013 - In Johan Van Benthem & Fenrong Lui (eds.), Logic Across the University: Foundations and Applications. College Publications. pp. 405-432.
    In this paper, we investigate the social herding phenomenon known as informational cascades, in which sequential inter-agent communication might lead to epistemic failures at group level, despite availability of information that should be sufficient to track the truth. We model an example of a cascade, and check the correctness of the individual reasoning of each agent involved, using two alternative logical settings: an existing probabilistic dynamic epistemic logic, and our own novel logic for counting evidence. Based on this analysis, (...)
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  46.  18
    Formal Modelling and Verification of Probabilistic Resource Bounded Agents.Hoang Nga Nguyen & Abdur Rakib - 2023 - Journal of Logic, Language and Information 32 (5):829-859.
    Many problems in Multi-Agent Systems (MASs) research are formulated in terms of the abilities of a coalition of agents. Existing approaches to reasoning about coalitional ability are usually focused on games or transition systems, which are described in terms of states and actions. Such approaches however often neglect a key feature of multi-agent systems, namely that the actions of the agents require resources. In this paper, we describe a logic for reasoning about coalitional ability under resource constraints in the probabilistic (...)
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  47.  5
    Modelling Accuracy and Trustworthiness of Explaining Agents.Alberto Termine, Giuseppe Primiero & Fabio Aurelio D’Asaro - 2021 - In Sujata Ghosh & Thomas Icard (eds.), Logic, Rationality, and Interaction: 8th International Workshop, Lori 2021, Xi’an, China, October 16–18, 2021, Proceedings. Springer Verlag. pp. 232-245.
    Current research in Explainable AI includes post-hoc explanation methods that focus on building transparent explaining agents able to emulate opaque ones. Such agents are naturally required to be accurate and trustworthy. However, what it means for an explaining agent to be accurate and trustworthy is far from being clear. We characterize accuracy and trustworthiness as measures of the distance between the formal properties of a given opaque system and those of its transparent explanantes. To this aim, we extend Probabilistic Computation (...)
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  48. Models for Counterparts.Alessandro Torza - 2011 - Axiomathes 21 (4):553-579.
    Lewis proposed to test the validity of a modal thesis by checking whether its possible-world translation is a theorem of counterpart theory. However, that criterion fails to validate many standard modal laws, thus raising doubts about the logical adequacy of the Lewisian framework. The present paper considers systems of counterpart theory of increasing strength and shows how each can be motivated by exhibiting a suitable intended model. In particular, perfect counterpart theory validates all the desired modal laws and (...)
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  49. Robustness and idealization in models of cognitive labor.Ryan Muldoon & Michael Weisberg - 2011 - Synthese 183 (2):161-174.
    Scientific research is almost always conducted by communities of scientists of varying size and complexity. Such communities are effective, in part, because they divide their cognitive labor: not every scientist works on the same project. Philip Kitcher and Michael Strevens have pioneered efforts to understand this division of cognitive labor by proposing models of how scientists make decisions about which project to work on. For such models to be useful, they must be simple enough for us to understand their dynamics, (...)
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  50. A self-regulation model of inner speech and its role in the organisation of human conscious experience.Robert Clowes - 2007 - Journal of Consciousness Studies 14 (7):59-71.
    This paper argues for the importance of inner speech in a proper understanding of the structure of human conscious experience. It reviews one recent attempt to build a model of inner speech based on a grammaticization model (Steels, 2003) and compares it with a self-regulation model here proposed. This latter model is located within the broader literature on the role of language in cognition and the inner voice in consciousness. I argue that this role is not (...)
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