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Abduction as belief revision
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“This approach is also claimed to set a minimum criterion that an explanation must fulfill: it must favor the probability of the observed event P to all the hypothetical alternatives (Q 1 , Q 2 , . . ., Q n ) [14].”
From A Survey of Contrastive and Counterfactual Explanation Generation Methods for Explainable Artificial Intelligence (2021) · cites this paper as [14]
In the citing paper
“Alternatively, counterfactual explanation is widely addressed in the paradigm of case-based reasoning, i.e., a family of problem solving methods based on appeals to precedent solutions.”
From A Survey of Contrastive and Counterfactual Explanation Generation Methods for Explainable Artificial Intelligence (2021) · cites this paper as [14]
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Stepin, I., Alonso, J. M., Catala, A., & Pereira-Farina, M. (2021) · IEEE Access · doi:10.1109/access.2021.3051315 · Cited by 376
“In addition, contrastive reasoning forms the basis of abductive inference [19], i.e., the process of inferring certain facts that render some observation plausible [20].”
BackgroundAbductive reasoning and qualitative research
Lipscomb, M. (2012) · Nursing Philosophy · doi:10.1111/j.1466-769x.2011.00532.x · Cited by 149
Explanations, belief revision and defeasible reasoning
Falappa, M. A., Kern-Isberner, G., & Simari, G. R. (2002) · Artificial Intelligence · doi:10.1016/s0004-3702(02)00258-8 · Cited by 107
Enhancing model checking in verification by AI techniques
Buccafurri, F., Eiter, T., Gottlob, G., & Leone, N. (1999) · Artificial Intelligence · doi:10.1016/s0004-3702(99)00039-9 · Cited by 85
“Note that the close relationship between abduction and revision is well-recognized, and its investigation received increasing interest more recently, e.g., [ 5 , 29, 33, 34].”
BackgroundModel-Based and Manipulative Abduction in Science
Magnani, L. (2004) · Foundations of Science · doi:10.1023/b:foda.0000042841.18507.22 · Cited by 80
An abductive framework for computing knowledge base updates
Sakama, C., & Inoue, K. (2003) · Theory and Practice of Logic Programming · doi:10.1017/s1471068403001716 · Cited by 71
Morality in a Technological World: Knowledge as Duty
Magnani, L. (2007) · Cited by 67
The eco-cognitive model of abduction
Magnani, L. (2015) · Journal of Applied Logic · doi:10.1016/j.jal.2015.04.003 · Cited by 65
The Many Faces of Defeasibility in Defeasible Deontic Logic
van der Torre, L., & Tan, Y. (1997) · Springer eBooks · doi:10.1007/978-94-015-8851-5_5 · Cited by 65
“Boutilier and Becher (1995) use a similar torre.tex - Date: December 31, 1996 Time: 10:41 obligations validate strengthening of the antecedent.17 Hence, the logic also validates CD and AD, because CD and AD follow from SA.”
MethodDefining Explanation in Probabilistic SystemsPreprint
Chajewska, U., & Halpern, J. Y. (2013) · arXiv (Cornell University) · doi:10.48550/arxiv.1302.1526 · Cited by 62
“((GID'denfors 1988; Hempel 1 %5; Salmon 1984) describe the work done by the philoso phers and give numerous references; the more recent work in AI includes, for example, (Boutilier and Becher 1995; Henrion and Druzdzel 1990; Pearl 1988; Shimony 1991; Suermondt 1992).)”
MethodGabbay, D. M., & Woods, J. (2006) · Logic Journal of IGPL · doi:10.1093/jigpal/jzk014 · Cited by 58
“13See here [Boutilier and Becher, 1995].”
Epistemic Mediators and Model-Based Discovery in Science
Magnani, L. (2002) · Springer eBooks · doi:10.1007/978-1-4615-0605-8_18 · Cited by 53
Models of Discovery and Creativity
Meheus, J., & Nickles, T. (2009) · Springer eBooks · doi:10.1007/978-90-481-3421-2 · Cited by 52
An Abductive Theory of Scientific Reasoning
Magnani, L. (2005) · Semiotica · doi:10.1515/semi.2005.2005.153-1-4.261 · Cited by 50
“Some of the more recent formal models of abductive reasoning, for instance [5], are based on the theory of the epistemic state of an agent ([6], [7]), where the epistemic state of an individual is modeled as a consistent set of beliefs that can change by expansion and contraction (belief revision framework).”
BackgroundModel-Based Creative Abduction
Magnani, L. (1999) · Springer eBooks · doi:10.1007/978-1-4615-4813-3_14 · Cited by 46
Optimizing group learning: An evolutionary computing approach
Douven, I. (2019) · Artificial Intelligence · doi:10.1016/j.artint.2019.06.002 · Cited by 41
“…intended to formalize the kind of explanatory reasoning that has lately been much in the limelight both in artificial intelligence (Konolige, 1992; Boutilier & Becher, 1995; Baral, 2000; Lin & You, 2002; Glass, 2018a, 2018b; Teijeiro & Félix, 2018) and in cognitive psychology (Koslowski et al.,…”
BackgroundThe eco-cognitive model of abduction II
Magnani, L. (2016) · Journal of Applied Logic · doi:10.1016/j.jal.2016.02.001 · Cited by 36
Reasoning through doing. Epistemic mediators in scientific discovery
Magnani, L. (2004) · Journal of Applied Logic · doi:10.1016/j.jal.2004.07.004 · Cited by 34
Abduction to plausible causes: an event-based model of belief update
Boutilier, C. E. (1996) · Artificial Intelligence · doi:10.1016/0004-3702(94)00097-2 · Cited by 32
“Some parts of this report appeared in preliminary form as “An Event-Based Abductive Model of Update,” Proc. of Tenth Canadian Conf. on in AI, Banff, Alta., (1994).”
BackgroundSelf-citationGeneralized Update: Belief Change in Dynamic Settings
Boutilier, C. E. (1995) · Cited by 31
Self-citationPerceiving the Infinite and the Infinitesimal World: Unveiling and Optical Diagrams in Mathematics
Magnani, L., & Dossena, R. (2005) · Foundations of Science · doi:10.1007/s10699-005-3003-8 · Cited by 28
The Logic of Abduction: An Introduction
Aliseda, A. (2017) · Springer eBooks · doi:10.1007/978-3-319-30526-4_10 · Cited by 28
Magnani, L. (2004) · Minds and Machines · doi:10.1023/b:mind.0000045989.64955.e7 · Cited by 28
“This types of deductive model go beyond the mere treatment of selective abduction in terms of preferred explanations and include the role of those components whose abnormality makes the observation (no longer anomalous) consistent with the description of the system ( Boutilier and Becher, 1995; Magnani, 2001a).”
BackgroundResultAbductive reasoning through filtering
Baral, C. R. (2000) · Artificial Intelligence · doi:10.1016/s0004-3702(00)00020-5 · Cited by 28
Hypothesizing about signaling networks
Tran, N., & Baral, C. R. (2008) · Journal of Applied Logic · doi:10.1016/j.jal.2008.10.001 · Cited by 27
“Abduction has been used and studied in various AI applications [65,68], abductive logic programming [21,22,36,37,52], probabilistic reasoning [66], diagnosis [71,72], planning [1,25,57], default reasoning [26,36,64,67], and belief revision and update [9,10].”
Developing healthy cities with urban facility management
Nijkamp, J. E., & Mobach, M. P. (2020) · Facilities · doi:10.1108/f-11-2019-0128 · Cited by 27
Jumping to explanations versus jumping to conclusions
Pérez, R. P., & Uzcátegui, C. (1999) · Artificial Intelligence · doi:10.1016/s0004-3702(99)00038-7 · Cited by 26
“Boutilier and Becher [3] have presented a view of abduction based on the AGM theory for belief revision [1] by exploiting the idea that”
BackgroundInfluentialWorking Backwards: Instrumental analysis as a policy discovery procedure
Forstater, M. (1999) · Review of Political Economy · doi:10.1080/095382599107147 · Cited by 26
Multimodal Abduction: External Semiotic Anchors and Hybrid Representations
Magnani, L. (2006) · Logic Journal of IGPL · doi:10.1093/jigpal/jzk009 · Cited by 25
“An important effect of this semiotic activity of brains is a continuous process of “externalization of the mind” that exhibits a new cognitive perspective on the mechanisms underling the semiotic emergence of abductive processes of meaning formation.”
BackgroundPérez, R. P., & Uzcátegui, C. (2003) · Artificial Intelligence · doi:10.1016/s0004-3702(03)00042-0 · Cited by 25
“Belief revision, abduction and nonmonotonic reasoning share some common grounds (see [2,5,8,16,21,22]).”
BackgroundCeteris Paribus Conditionals and Comparative Normalcy
Smith, M. J. (2006) · Journal of Philosophical Logic · doi:10.1007/s10992-006-9030-2 · Cited by 23
“The idea has been explored in connection with conditional logics for defeasible reasoning (Delgrande, 1987, Boutilier, 1994, Boutilier and Becher, 1995), in connection with subjunctive conditionals (Gundersen, 2004) and in connection with conditional analyses of causation (Menzies, 2004).”
BackgroundCoaches’ interpersonal emotion regulation and the coach-athlete relationship
Braun, C., & Tamminen, K. A. (2019) · Movement & Sport Sciences - Science & Motricité · doi:10.1051/sm/2019011 · Cited by 22
THE UNEXPECTED ASPECTS OF SURPRISE
Lorini, E., & Castelfranchi, C. (2006) · International Journal of Pattern Recognition and Artificial Intelligence · doi:10.1142/s0218001406004983 · Cited by 22
“, φm]) = c ∧ Supporti(ω, φ) → Degree −Mismatchi(φ, ψ) = c ∧ (ω ⇒i φ) and (2) we can establish that: (4) M,w |= Mismatch−basedSurprisei(φ, ψ, [φ1, .”
Gabbay, D. M., & Woods, J. (2005) · A practical logic of cognitive systems · doi:10.1016/s1874-5075(05)80021-x · Cited by 22
Paul, G. (2000) · Springer eBooks · doi:10.1007/978-94-017-1733-5_2 · Cited by 22
A conditional logic for abduction
Beirlaen, M., & Aliseda, A. (2014) · Synthese · doi:10.1007/s11229-014-0496-0 · Cited by 21
“They can be studied by themselves (Mayer and Pirri 1996; Aliseda 2006), in specific contexts of application, such as scientific discovery (Meheus and Batens 2006; Prendinger and Ishizuka 2005), medical diagnosis (Aliseda and Leonides 2013; Console and Torasso 1991), natural language understanding (Hobbs 2008), legal r…”
Abduction and chance discovery in science
Magnani, L. (2007) · International Journal of Knowledge-based and Intelligent Engineering Systems · doi:10.3233/kes-2007-11503 · Cited by 21
“Some of the formal models of abductive reasoning are based on the theory of the epistemic state of an agent [4], where the epistemic state of an individual is modeled as a consistent set of beliefs that can change by expansion and contraction ( belief revision framework ).”
An epistemic and dynamic approach to abductive reasoning: Abductive problem and abductive solution
Velázquez–Quesada, F. R., Toscano, F. S., & Nepomuceno–Fernández, Á. (2013) · Journal of Applied Logic · doi:10.1016/j.jal.2013.07.002 · Cited by 21
“In this sense, our approach is closer to the ideas in [21,7,1,26] in that it stresses the key role that agents and actions play within the abductive reasoning scenario.”
BackgroundAbductive logics in a belief revision framework
Walliser, B., Zwirn, D., & Hervé Zwirn, C. (2004) · Journal of Logic Language and Information · doi:10.1007/s10849-004-2319-z · Cited by 20
“Non-transitive abduction is proposed by Boutilier and Becher (1995) under the name of “predictive explanation.” It is introduced by Pino-P´ erez and Uzc´ ategui (1999) under the label “epistemic explanation” in relation with belief revision.”
BackgroundKnowledge and Inquiry: Essays on the Pragmatism of Isaac Levi
Olsson, E. J. (2006) · Cited by 21
Towards the Role of Theory of Mind in Explanation
Shvo, M., Klassen, T. Q., & McIlraith, S. A. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-51924-7_5 · Cited by 20
“Nevertheless in the simplest case if the beliefs of the explainer are represented as formulae (logical or probabilistic) then, as observed by Levesque [24] and Boutilier and Becher [4], our notion of explanation may be realized via an augmentation of existing abductive reasoning systems such as Theorist Poole [33], fo…”
BackgroundMethodInfluentialConstructive reinforcement learning
Hernández‐Orallo, J. (2000) · International Journal of Intelligent Systems · doi:10.1002/(sici)1098-111x(200003)15:3 · Cited by 19
Creative Abduction and Hypothesis Withdrawal
Magnani, L. (2009) · Springer eBooks · doi:10.1007/978-90-481-3421-2_7 · Cited by 17
“Boutilier and Becher (1995) provide a formal account of the whole question in terms of belief revision: if believingA is sufficient to induce belief inB, then A (epistemically) explains B; the situation can be semantically illustrated in terms of an ordering of plausibility or normality which is able to represent the…”
BackgroundModalities of Abduction: a Philosophy of Science-Based Investigation of Abduction
Olsen, J. A., & Gjerding, A. (2018) · Human Arenas · doi:10.1007/s42087-018-0044-4 · Cited by 15
Exploring Thematic Analysis in Qualitative Research
Qaissi, A. (2024) · Advances in data mining and database management book series · doi:10.4018/979-8-3693-8689-7.ch010 · Cited by 17
A user‐centred approach to the design of an expert system for training
Borges, M. A. F., & Baranauskas, M. C. C. (1998) · British Journal of Educational Technology · doi:10.1111/1467-8535.00043 · Cited by 13
“In model-based diagnosis, the use of abductive inference is common (Boutilier and Becher, 1995).”
BackgroundKnowledge-based framework for hypothesis formation in biochemical networks
Tran, N., Baral, C. R., Nagaraj, V. J., & Joshi, L. (2005) · Bioinformatics · doi:10.1093/bioinformatics/bti1134 · Cited by 13
“…(Poole, 1993), diagnosis (Reggia, 1983; Reiter, 1980), planning (Eshghi, 1988; Allenet al., 1991; Missiaenet al., 1995), default reasoning (Poolet al., 1987; Poole, 1988; Eshghi and Kowalski, 1989; Kakaset al., 1998), and belief revision and update (Boutilier and Becher, 1995; Boutilier, 1996).”
BackgroundInoue, K. (2002) · Lecture notes in computer science · doi:10.1007/3-540-45632-5_13 · Cited by 13
An epistemic and dynamic approach to abductive reasoning: selecting the best explanation
Nepomuceno–Fernández, Á., Toscano, F. S., & Velázquez–Quesada, F. R. (2013) · Logic Journal of IGPL · doi:10.1093/jigpal/jzt013 · Cited by 12
A Computational Framework for Procedural Abduction Done by Smart Cyber-Physical Systems
Horváth, I. (2018) · Designs · doi:10.3390/designs3010001 · Cited by 13
“The abduction model presented by Boutilier, C. and Becher, V. non-monotonically generates explanations that predict an observation, but require some deductive relationship between explanation and observation [61].”
MethodLobo, J., & Uzcátegui, C. (1996) · Fundamenta Informaticae · doi:10.3233/fi-1996-27403 · Cited by 12
Generation and Selection of Abductive Explanations for Non-Omniscient Agents
Toscano, F. S., & Velázquez–Quesada, F. R. (2014) · Journal of Logic Language and Information · doi:10.1007/s10849-014-9192-1 · Cited by 11
“The relation between abductive reasoning and belief revision has been already studied, e.g., Boutilier and Becher (1995), Aliseda (2006). ϕ ::= p | A ϕ | R ρ | ¬ϕ | ϕ ∨ ψ | 〈∼〉ϕ | 〈≤〉ϕ ρ ::= ({ψ1, . . . , ψnρ }, ϕ) where p is an atomic proposition inP.”
Determining explanations using transmutations
Williams, M., Pagnucco, M., Foo, N., & Sims, B. (1995) · Cited by 11
A pragmatic approach to computational narrative understanding
Forbus, K. D., & Tomai, E. (2009) · Cited by 10
Abductive Logics in a Belief Revision Framework
Walliser, B., Zwirn, D., & Hervé Zwirn, C. (2005) · Journal of Logic Language and Information · doi:10.1007/s10849-005-2319-7 · Cited by 10
Artificial explanations: the epistemological interpretation of explanation in AI
Páez, A. (2008) · Synthese · doi:10.1007/s11229-008-9361-3 · Cited by 9
Prefiguring Ethical Chances: The Role of Moral Mediators
Magnani, L. (2006) · Studies in computational intelligence · doi:10.1007/978-3-540-34353-0_13 · Cited by 9
“This types of deductive models go beyond the mere treatment of selective abduction in terms of preferred explanations and include the role of those components whose abnormality makes the observation (no longer anomalous) consistent with the description of the system (see [15] and [16]).”
BackgroundResultExtending the Contraposition Property of Propositional Logic for Fuzzy Abduction
Chakraborty, A., Konar, A., Pal, N. R., & Jain, L. C. (2012) · IEEE Transactions on Fuzzy Systems · doi:10.1109/tfuzz.2012.2230006 · Cited by 9
“Several extensions to Pearl’s model have been undertaken, each with a new flavor [7], [8], [10].”
MethodA framework of fuzzy diagnosis
Wang, H., Zhang, M., Dongming Xu, A., & Zhang, D. (2004) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2004.80 · Cited by 9
“The other approach is based on abductive methods [6], [7], [8], [9], [10], [11], [12], [13], [14], and it often uses heuristic and diagnostic associations derived from experience.”
MethodEpistemic Mediators and Chance Morphodynamics
Magnani, L., Matteo Piazza, A., & Dossena, R. (2002) · Cited by 9
Millson, J. A., & Straßer, C. (2019) · Journal of Applied Non-Classical Logics · doi:10.1080/11663081.2019.1591108 · Cited by 9
“There have been some attempts to do so by incorporating structured preference relations (Boutilier & Becher, 1995; Lobo & Uzc´ategui, 1997; Mayer & Pirri, 1996; Pino-P´erez & Uzc´ategui, 1999, 2000, 2003), but such an approach treats the evaluation of explanantia as given rather than as a product…”
BackgroundAbductive Reasoning in Dynamic Epistemic Logic
Nepomuceno–Fernández, Á., Toscano, F. S., & Velázquez–Quesada, F. R. (2017) · Springer eBooks · doi:10.1007/978-3-319-30526-4_13 · Cited by 7
Abduction as belief revision: a model of preferred explanations
Boutilier, C. E., & Becher, V. (1993) · Cited by 7
Self-citationAbductive inference in defeasible reasoning: a model for research programmes
Delrieux, C. A. (2004) · Journal of Applied Logic · doi:10.1016/j.jal.2004.07.003 · Cited by 6
Smith, M. (2012) · Australasian Journal of Philosophy · doi:10.1080/00048402.2012.732094 · Cited by 5
A Computationally Grounded Logic of Graded Belief
Lorini, E., & Schwarzentruber, F. (2021) · Lecture notes in computer science · doi:10.1007/978-3-030-75775-5_17 · Cited by 5
From Stereoscopic Vision to Symbolic Representation
Santos, P. E., & Shanahan, M. (2001) · Cited by 5
Conjectures and manipulations: External representations in scientific reasoning
Magnani, L. (2002) · Mind & Society · doi:10.1007/bf02511863 · Cited by 5
Linear Algebraic Abduction with Partial Evaluation
Nguyen, T. Q., Inoue, K., & Sakama, C. (2023) · Lecture notes in computer science · doi:10.1007/978-3-031-24841-2_13 · Cited by 4
Morphodynamical Abduction. Causation by Attractors Dynamics of Explanatory Hypotheses in Science
Magnani, L., & Matteo Piazza, A. (2005) · Foundations of Science · doi:10.1007/s10699-005-3008-3 · Cited by 4
A study on the logic of abduction
Mayer, M. C., & Pirri, F. (1996) · Cited by 4
An Abductive Framework for Knowledge Base DynamicsPreprint
Delhibabu, R. (2014) · arXiv (Cornell University) · Cited by 4
An ASP-based solver for parametrized-difference revision
Aravanis, T. I. (2021) · Journal of Logic and Computation · doi:10.1093/logcom/exab061 · Cited by 3
Discovering and Communicating through Multimodal Abduction
Magnani, L. (2008) · Studies in computational intelligence · doi:10.1007/978-3-540-78733-4_2 · Cited by 3
“Some of the formal models of abductive reasoning are based on the theory of the epistemic state of an agent [ 24 ], where the epistemic state of an individual is modeled as a consistent set of beliefs that can change by expansion and contraction (belief revision framework).”
BackgroundCognitive Robotics: On the Semantic Knife-edge
Witkowski, M., Shanahan, M., Santos, P. E., & Randell, D. A. (2001) · Cited by 3
Software as Learning: Quality Factors and Life-Cycle Revised
Hernández‐Orallo, J., & Ramírez-Quintana, M. J. (2000) · Lecture notes in computer science · doi:10.1007/3-540-46428-x_11 · Cited by 3
“[35]). The automation of the revision of the model can be found in works usually o riginated in non -monotonic a pproaches inside AI, by u sing logical theories [ 9 ] or more software specific a pproaches [1].”
MethodAbductive Reasoning, Belief Expansion and Nonmonotonic Cesequence.
Pagnucco, M., Nayak, A., & Foo, N. (1995) · Cited by 3
Abduction in the Assessment of Special Educational Needs - Learning Disability
Vida, G., & Sántha, K. (2024) · Különleges Bánásmód - Interdiszciplináris folyóirat · doi:10.18458/kb.2024.2.31 · Cited by 2
“The relationship of abduction and diagnostics is not a new idea, its use has already turned up in the field of model-based diagnostics involving artificial intelligence (Boutilier & Becher, 1994).”
BackgroundMethodA Computational Definition of 'Consilience’
Hernández‐Orallo, J. (1998) · Philosophica · doi:10.21825/philosophica.82312 · Cited by 2
Smith, M. (2016) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780198755333.003.0003 · Cited by 2
Abductive Spaces: Modeling Concept Framework Revision with Category Theory
Gangle, R., Caterina, G., & Tohmé, F. (2021) · Studies in applied philosophy, epistemology and rational ethics · doi:10.1007/978-3-030-61773-8_3 · Cited by 2
Magnani, L., & Nersessian, N. J. (2004) · Foundations of Science · doi:10.1023/b:foda.0000043010.90996.aa · Cited by 2
An Adductive Theory of Scientific Reasoning.
Magnani, L. (2002) · International Conference on Artificial Intelligence · Cited by 2
Buccafurri, F., Eiter, T., Gottlob, G., & Leone, N. (1998) · Periodica Polytechnica Electrical Engineering · Cited by 1
Abduction from a Dynamic Epistemic Perspective: Non-omniscient Agents and Multiagent Settings
Nepomuceno–Fernández, Á., Toscano, F. S., & Velázquez–Quesada, F. R. (2022) · Springer eBooks · doi:10.1007/978-3-030-68436-5_25-1 · Cited by 1
Abductive Logic Programming and Linear Algebraic Computation
Nguyen, T. Q., Inoue, K., & Sakama, C. (2012) · Springer eBooks · doi:10.1007/978-3-030-68436-5_62-1 · Cited by 1
La relevancia de la lógica relevante en el razonamiento no monotónico
Delrieux, C. A. (2001) · El Servicio de Difusión de la Creación Intelectual (National University of La Plata) · Cited by 1
Representation theorems for explanatory reasoning based on cumulative models
Díaz, A., & Uzcátegui, C. (2008) · Journal of Applied Logic · doi:10.1016/j.jal.2008.05.001 · Cited by 1
“The notions of epistemic and strong epistemic explanation have aplications specially in contexts where an explanation does not necessarily entail the observation [6].”
BackgroundResultAbduction in Diagrammatic Reasoning: A Categorical Approach
Caterina, G., Gangle, R., & Tohmé, F. (2023) · Springer eBooks · doi:10.1007/978-3-031-10135-9_44 · Cited by 1
Abduction from a Dynamic Epistemic Perspective: Non-omniscient Agents and Multiagent Settings
Nepomuceno–Fernández, Á., Toscano, F. S., & Velázquez–Quesada, F. R. (2023) · Springer eBooks · doi:10.1007/978-3-031-10135-9_25 · Cited by 1
An Abductive Framework for Horn Knowledge Base DynamicsPreprint
Delhibabu, R. (2014) · arXiv (Cornell University) · doi:10.48550/arxiv.1405.2642 · Cited by 1
Forstater, M. (1998) · SSRN Electronic Journal · doi:10.2139/ssrn.59789 · Cited by 1
Contrução de paginas Web : depuração e especificação de um ambiente de aprendizagem
Maltempi, M. V. (2000) · LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) · Cited by 1
Burger, I. C., & Heidema, J. (2002) · Applied logic series · doi:10.1007/978-94-010-0550-0_8 · Cited by 1
Pagnucco, M. (2006) · Cambridge University Press eBooks · doi:10.1017/cbo9780511584312.012
Dynamics of Belief: Abduction, Horn Knowledge Base And Database UpdatesPreprint
Delhibabu, R. (2023) · Research Square · doi:10.21203/rs.3.rs-3014467/v1
Arló‐Costa, H., & Fermé, E. (2009) · doi:10.1002/9781444314847.ch34
Abduction and Chance The Extra-Theoretical Dimension of Chance Discovery in Science
Magnani, L. (2006) · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics · doi:10.1109/icsmc.2006.384972
“Thepaperdescribes someofthe"templates" ofmanipulative behavior whichaccount forthemostcommon cognitive andepistemic acting related tochance discovery and chance production. I .ABDUCTIONINTHEORETICAL ANDMANIPULATIVE”
BackgroundCreations and Discoveries in Science: The Role of Abductive Reasoning
Magnani, L. (1999) · Springer eBooks · doi:10.1007/978-1-4615-4809-6_13
A Method for Reasoning about other Agents' Beliefs from Observations
der Fakultät, V. (2008)
Metadata
- Authors
- Boutilier, C., & Beche, V.
- Affiliations
- University of British Columbia (CA)
- Corresponding author
- Boutilier, Craig
- ORCID
- Boutilier, Craig
- Venue
- Artificial Intelligence
- Publisher
- Elsevier BV
- Published
- 1995-08
- Volume
- 77
- Issue
- 1
- Pages
- 43-94
- ISSN
- 0004-3702 (ISSN-L)
- OpenAlex
- W2074890228
- Cited by
- 118
- References
- 66
- Citations by year
- 2025: 1 · 2024: 4 · 2023: 6 · 2022: 3 · 2021: 4 · 2020: 2 · 2019: 3 · 2018: 2 · 2017: 3 · 2016: 5 · 2015: 1 · 2014: 5 · 2013: 3 · 2012: 5
- FWCI
- 6.20
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Artificial Intelligence (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Logic, Reasoning, and Knowledge
- Physical Sciences › Computer Science › Artificial Intelligence › AI-based Problem Solving and Planning
- Physical Sciences › Computer Science › Artificial Intelligence › Multi-Agent Systems and Negotiation
- Keywords
- abduction, belief revision, epistemic states, explanation, nonmonotonic reasoning, explanation preference, normality, plausibility, model-based diagnosis, consistency-based diagnosis
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