ORCID Profile
0000-0001-7999-0534
Current Organisation
Queensland University of Technology
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Research Topics
In Research Link Australia (RLA), "Research Topics" refer to ANZSRC FOR and SEO codes. These topics are either sourced from ANZSRC FOR and SEO codes listed in researchers' related grants or generated by a large language model (LLM) based on their publications.
Top 5 Research Topics
ANZSRC Field of Research (FoR)
Information Systems | Information Storage, Retrieval And Management | Computational Linguistics | Learning, Memory, Cognition And Language | Library and Information Studies | Global Information Systems | Computation Theory And Mathematics Not Elsewhere Classified | Information Systems Development Methodologies | Systems Theory | Sensory Processes, Perception And Performance | Linguistic Processes (Incl. Speech Production And Comprehension) | Interorganisational Information Systems | Text Processing | Information Systems Management | Cognitive Science | Psychology | Decision Support And Group Support Systems | Speech Recognition | Database Management
ANZSRC Socio-Economic Objective (SEO)
Information processing services | Behavioural and cognitive sciences | Library and related information services | Application tools and system utilities | Computer software and services not elsewhere classified | Public services management | Application packages | Mathematical sciences | Information services not elsewhere classified | Hearing, vision, speech and their disorders |
Related Links
Publications
Understanding Individual Experiences of Chronic Illness with Semantic Space Models of Electronic Discussions
Publisher: IEEE
Date: 06-2007
Quantum models of cognition and decision
Publisher: Cambridge University Press
Date: 26-07-2012
Abstract: Much of our understanding of human thinking is based on probabilistic models. This innovative book by Jerome R. Busemeyer and Peter D. Bruza argues that, actually, the underlying mathematical structures from quantum theory provide a much better account of human thinking than traditional models. They introduce the foundations for modeling probabilistic-dynamic systems using two aspects of quantum theory. The first, 'contextuality', is a way to understand interference effects found with inferences and decisions under conditions of uncertainty. The second, 'quantum entanglement', allows cognitive phenomena to be modeled in non-reductionist ways. Employing these principles drawn from quantum theory allows us to view human cognition and decision in a totally new light. Introducing the basic principles in an easy-to-follow way, this book does not assume a physics background or a quantum brain and comes complete with a tutorial and fully worked-out applications in important areas of cognition and decision.
Efficient context-sensitive plausible inference for information disclosure
Publisher: ACM Press
Date: 1993
Absolute present, Zen and Schrodinger's one mind
Publisher: Springer International Publishing
Date: 2019
Query expansion using term relationships in language models for information retrieval
Publisher: ACM
Date: 31-10-2005
Informational inference via information flow
Publisher: IEEE Comput. Soc
Date: 2001
Quantum-like influence diagrams for decision-making
Publisher: Elsevier BV
Date: 12-2020
Aboutness from a commonsense perspective
Publisher: Wiley
Date: 2000
DOI: 10.1002/1097-4571(2000)9999:9999<::AID-ASI1026>3.0.CO;2-Y
What is information discovery about?
Publisher: Wiley
Date: 1999
DOI: 10.1002/(SICI)1097-4571(1999)50:9<737::AID-ASI2>3.0.CO;2-C
Medical semantic similarity with a neural language model
Publisher: ACM
Date: 03-11-2014
Modelling Dynamic Interactions Between Relevance Dimensions
Publisher: ACM
Date: 26-09-2019
A two-stage information filtering based on rough decision rule and pattern mining
Publisher: Engineering and Technology Publishing
Date: 11-2010
Using information filtering in Web data mining process
Publisher: IEEE
Date: 11-2007
DOI: 10.1109/WI.2007.106
Human Information Interaction and the Cognitive Predicting Theory of Trust
Publisher: ACM
Date: 14-03-2020
Automatic query expansion: A structural linguistic perspective
Publisher: Wiley
Date: 26-02-2014
DOI: 10.1002/ASI.23065
A quantum probability perspective on borderline vagueness
Publisher: Wiley
Date: 11-09-2013
DOI: 10.1111/TOPS.12041
Abstract: The term "vagueness" describes a property of natural concepts, which normally have fuzzy boundaries, admit borderline cases, and are susceptible to Zeno's sorites paradox. We will discuss the psychology of vagueness, especially experiments investigating the judgment of borderline cases and contradictions. In the theoretical part, we will propose a probabilistic model that describes the quantitative characteristics of the experimental finding and extends Alxatib's and Pelletier's () theoretical analysis. The model is based on a Hopfield network for predicting truth values. Powerful as this classical perspective is, we show that it falls short of providing an adequate coverage of the relevant empirical results. In the final part, we will argue that a substantial modification of the analysis put forward by Alxatib and Pelletier and its probabilistic pendant is needed. The proposed modification replaces the standard notion of probabilities by quantum probabilities. The crucial phenomenon of borderline contradictions can be explained then as a quantum interference phenomenon.
Nonseparability of shared intentionality
Publisher: Springer Berlin Heidelberg
Date: 2009
Modelling the acitivation of words in human memory: The spreading activation, spooky-activation-at-a-distance and the entanglement models compared
Publisher: Springer Berlin Heidelberg
Date: 2011
Interactive topic modeling for aiding qualitative content analysis
Publisher: ACM
Date: 13-03-2016
Information retrieval as semantic inference: a Graph Inference model applied to medical search
Publisher: Springer Science and Business Media LLC
Date: 20-11-2016
A quantum logic of down below
Publisher: Elsevier
Date: 2009
Counterfactuals and causability in explainable artificial intelligence: Theory, algorithms, and applications
Publisher: Elsevier BV
Date: 05-2022
Back to the future: A logical framework for temporal information representation and inferencing from financial news
Publisher: IEEE
Date: 2003
Term associations in query expansion: a structural linguistic perspective
Publisher: ACM Press
Date: 2013
A probabilistic framework for analysing the compositionality of conceptual combinations
Publisher: Elsevier BV
Date: 08-2015
The Modelling and Retrieval of Documents Using Index Expressions
Publisher: Association for Computing Machinery (ACM)
Date: 09-1991
Abstract: In this paper we introduce Index Expressions as a means for modelling document content. From an index expression the the Power Index Expression can be derived, which is a powerful instrument for information retrieval. We describe the characterization of documents in the style of formal logic. The content of a document is then modelled by a set of axioms, of which the document is a model. Relating a document to a query is done by proving the query from the axioms of that document. We introduce three rules of inference. If such a proof is not possible, the relevance of the document for the query is derived by plausible deduction. We introduce two inference rules for plausible deduction.
A quantum information retrieval approach to memory
Publisher: IEEE
Date: 06-2012
A bare bones approach to literature-based discovery: An analysis of the Raynaud's/fish-oil and migraine-magnesium discoveries in semantic space
Publisher: Springer Berlin Heidelberg
Date: 2005
DOI: 10.1007/11563983_9
Towards Operational Abduction from a Cognitive Perspective
Publisher: Oxford University Press (OUP)
Date: 03-2006
A Logic-Based Approach for Adaptive and Information Filtering Agents
Publisher: Springer Berlin Heidelberg
Date: 2001
Quantum haystacks revisited
Publisher: Springer International Publishing
Date: 2015
Inter-therapist agreement in classifying patients with cervical radiculopathy and patients with non-specific neck-arm pain
Publisher: Elsevier BV
Date: 10-2012
A task completion framework to support single-interaction IR research
Publisher: Emerald
Date: 24-01-2018
Abstract: A conceptual model describes important factors within a system and how they relate to one another. They are important because they help to identify system changes that can yield the greatest improvement. Within information retrieval (IR), most research is directed towards multi-document retrieval and a multi-interaction IR user scenario. There are few, if any, IR conceptual models supporting minimal or single-interaction IR (siIR) user scenarios, however the need for siIR systems is growing rapidly. The purpose of this paper is to take the first step towards constructing a task-oriented conceptual model and experimental framework to support siIR research. A first principles approach is employed to develop a task-oriented conceptual model, called bridging information retrieval (BIR). This model is contrasted with the concept of relevance, a central factor within IR research. BIR introduces the central concept of bridging information (BI) as the objective of IR systems. BI is the additional information a user requires to complete a task, beyond their innate knowledge. The relationship between BI and relevance is determined. The theoretical basis of BIR is derived axiomatically however the resulting system evaluation model is speculative. The proposed operational framework offers researchers a systematic approach to designing and evaluating siIR systems. This work contributes a novel task-oriented IR conceptual model and evaluation framework, both centred around the concept of BI for siIR. It also contributes a novel search task classification method.
Facilitating query decomposition in query language modeling by association rule mining using multiple sliding windows
Publisher: Springer Berlin Heidelberg
Date: 2008
Fundamental properties of aboutness
Publisher: ACM
Date: 08-1999
Preface
Publisher: Springer International Publishing
Date: 2014
Towards semantic search and inference in electronic medical records: An approach using concept-based information retrieval
Publisher: OMICS Publishing Group
Date: 10-2012
How activation, entanglement, and searching a semantic network contribute to event memory.
Publisher: Springer Science and Business Media LLC
Date: 04-05-2013
DOI: 10.3758/S13421-013-0312-Y
Abstract: Free-association norms indicate that words are organized into semantic/associative neighborhoods within a larger network of words and links that bind the net together. We present evidence indicating that memory for a recent word event can depend on implicitly and simultaneously activating related words in its neighborhood. Processing a word during encoding primes its network representation as a function of the density of the links in its neighborhood. Such priming increases recall and recognition and can have long-lasting effects when the word is processed in working memory. Evidence for this phenomenon is reviewed in extralist-cuing, primed free-association, intralist-cuing, and single-item recognition tasks. The findings also show that when a related word is presented in order to cue the recall of a studied word, the cue activates the target in an array of related words that distract and reduce the probability of the target's selection. The activation of the semantic network produces priming benefits during encoding, and search costs during retrieval. In extralist cuing, recall is a negative function of cue-to-distractor strength, and a positive function of neighborhood density, cue-to-target strength, and target-to-cue strength. We show how these four measures derived from the network can be combined and used to predict memory performance. These measures play different roles in different tasks, indicating that the contribution of the semantic network varies with the context provided by the task. Finally, we evaluate spreading-activation and quantum-like entanglement explanations for the priming effects produced by neighborhood density.
A two-stage text mining model for information filtering
Publisher: ACM
Date: 26-10-2008
Information flow analysis with Chinese text
Publisher: Springer Berlin Heidelberg
Date: 2004
Is there something quantum-like about the human mental lexicon?
Publisher: Springer Berlin Heidelberg
Date: 2010
Probabilistic programs: Contextuality and relational database theory
Publisher: Springer International Publishing
Date: 2017
Assessing the Quality of Hypertext Views
Publisher: Association for Computing Machinery (ACM)
Date: 11-1990
Abstract: In this article the problem of assessing the quality of hypertext views is considered. This is done in terms of a formal model of hypertext in which the view is a central aspect. The objects in a view are described in terms of so called index expressions which are a powerful object characterization mechanism. These characterizations are manipulated by a calculus, which allows quantification of notions such as cohesion and relevance. These latter are useful criteria for judging the quality of a view.
Graph-based concept weighting for medical information retrieval
Publisher: ACM
Date: 05-12-2012
Divergent sensory phenotypes in nonspecific arm pain: Comparisons with cervical radiculopathy
Publisher: Elsevier BV
Date: 02-2015
DOI: 10.1016/J.APMR.2014.09.015
Abstract: To investigate whether distinct sensory phenotypes were identifiable in in iduals with nonspecific arm pain (NSAP) and whether these differed from those in people with cervical radiculopathy. A secondary question considered whether the frequency of features of neuropathic pain, kinesiophobia, high pain ratings, hyperalgesia, and allodynia differed according to subgroups of sensory phenotypes. Cross-sectional study. Higher education institution. Forty office workers with NSAP, 17 people with cervical radiculopathy, and 40 age- and sex-matched healthy controls (N=97). Not applicable. Participants were assessed using quantitative sensory testing (QST) comprising thermal and vibration detection thresholds and thermal and pressure pain thresholds clinical examination and relevant questionnaires. Sensory phenotypes were identified for each in idual in the patient groups using z-score transformation of the QST data. In iduals with NSAP and cervical radiculopathy present with a spectrum of sensory abnormalities a dominant sensory phenotype was not identifiable in in iduals with NSAP. No distinct pattern between clinical features and questionnaire results across sensory phenotypes was identified in either group. When considering sensory phenotypes, neither in iduals with NSAP nor in iduals with cervical radiculopathy should be considered homogeneous. Therefore, people with either condition may warrant different intervention approaches according to their in idual sensory phenotype. Issues relating to the clinical identification of sensory hypersensitivity and the validity of QST are highlighted.
An aspect query language model based on query decomposition and high-order contextual term associations
Publisher: Wiley
Date: 02-2012
Pattern mining for a two-stage information filtering system
Publisher: Springer Berlin Heidelberg
Date: 2011
Two-stage model for information filtering
Publisher: IEEE
Date: 12-2008
Towards context sensitive information inference
Publisher: Wiley
Date: 22-01-2003
DOI: 10.1002/ASI.10213
Quantum Theory Beyond the Physical: Information in Context
Publisher: Springer Science and Business Media LLC
Date: 14-01-2011
Towards the Discovery of Learner Metacognition from Reflective Writing
Publisher: Society for Learning Analytics Research
Date: 17-09-2016
Abstract: Modern society demands renewed attention on the competencies required to best equip students for a dynamic and uncertain future. We present exploratory work based on the premise that metacognitive and reflective competencies are essential for this task. Bringing the concepts of metacognition and reflection together into a conceptual model within which we conceived of them as both a set of similar features, and as a spectrum ranging from the unconscious inner-self through to the conscious external social self. This model was used to guide exploratory computational analysis of 6090 instances of reflective writing authored by undergraduate students. We found the conceptual model to be useful in informing the computational analysis, which in turn showed potential for automating the discovery of metacognitive activity in reflective writing, an approach that holds promise for the generation of formative feedback for students as they work towards developing core 21st century competencies.
Evaluating medical information retrieval
Publisher: ACM
Date: 24-07-2011
Evaluating probabilistic programming languages for simulating quantum correlations
Publisher: Public Library of Science (PLoS)
Date: 04-01-2019
A tensor encoding model for semantic processing
Publisher: ACM
Date: 29-10-2012
Perceptions of document relevance
Publisher: Frontiers Media SA
Date: 30-12-2020
The connected learning analytics toolkit
Publisher: ACM Press
Date: 2016
Quantum cognition: A new theoretical approach to psychology
Publisher: Elsevier BV
Date: 07-2015
DOI: 10.1016/J.TICS.2015.05.001
Abstract: What type of probability theory best describes the way humans make judgments under uncertainty and decisions under conflict? Although rational models of cognition have become prominent and have achieved much success, they adhere to the laws of classical probability theory despite the fact that human reasoning does not always conform to these laws. For this reason we have seen the recent emergence of models based on an alternative probabilistic framework drawn from quantum theory. These quantum models show promise in addressing cognitive phenomena that have proven recalcitrant to modeling by means of classical probability theory. This review compares and contrasts probabilistic models based on Bayesian or classical versus quantum principles, and highlights the advantages and disadvantages of each approach.
Is the unigram relevance model term independent? Classifying term dependencies in query expansion
Publisher: ACM
Date: 05-12-2012
Literature-based Discovery
Publisher: Springer Berlin Heidelberg
Date: 2008
Semantic space: Bridging the divide between cognitive science, information processing technology and quantum mechanics
Publisher: IEEE
Date: 08-2008
Exploiting inference from semantic annotations for information retrieval: Reflections from medical IR
Publisher: ACM
Date: 07-11-2014
Maxi-adjustment and possibilistic deduction for adaptive information agents
Publisher: Informa UK Limited
Date: 2001
An effective approach to verbose queries using a limited dependencies language model
Publisher: Springer Berlin Heidelberg
Date: 2009
Nonmonotonic reasoning for adaptive information filtering
Publisher: IEEE Comput. Soc
Date: 2001
Reconceptualising manual therapy skills in contemporary practice
Publisher: Elsevier BV
Date: 06-2017
DOI: 10.1016/J.MSKSP.2017.02.010
Abstract: With conflicting evidence regarding the effectiveness of manual therapy calls have arisen within some quarters of the physiotherapy profession challenging the continued use of manual skills for assessment and treatment. A reconceptualisation of the importance of manual examination findings is put forward, based upon a contemporary understanding of pain science, rather than considering these skills only in terms of how they should "guide" manual therapy interventions. The place for manual examination findings within complex, multidimensional presentations is considered using vignettes describing the presentations of five people with low back pain. As part of multidimensional, in idualised management, the balance of evidence relating to the effectiveness, mechanisms of action and rationale for manual skills is discussed. It is concluded that if manual examination and therapeutic skills are used in a manner consistent with a contemporary understanding of pain science, multidimensional patient profiles and a person-centred approach, their selective and judicious use still has an important role.
Inducing shades of meaning by matrix methods: a first step towards thematic analysis of opinion
Publisher: IEEE
Date: 10-2009
Modelling word activation in semantic networks: Three scaled entanglement models compared
Publisher: Springer Berlin Heidelberg
Date: 2012
Abduction in semantic space: Towards a logic of discovery
Publisher: Oxford University Press (OUP)
Date: 03-2004
Improving Web service discovery by using semantic models
Publisher: Springer Berlin Heidelberg
Date: 2008
Projecting Computational Sense of Self: A Study of Transition in a Chronic Illness Online Community
Publisher: IEEE
Date: 2006
Large scale multiuser digital mind mapping tool: A study in usability
Publisher: ACM
Date: 02-12-2014
Document clustering using incremental and pairwise approaches
Publisher: Springer Berlin Heidelberg
Date: 2008
Pattern taxonomy mining for information filtering
Publisher: Springer Berlin Heidelberg
Date: 2008
Balanced Quantum-Like Bayesian Networks
Publisher: MDPI AG
Date: 02-02-2020
DOI: 10.3390/E22020170
Abstract: Empirical findings from cognitive psychology indicate that, in scenarios under high levels of uncertainty, many people tend to make irrational decisions. To address this problem, models based on quantum probability theory, such as the quantum-like Bayesian networks, have been proposed. However, this model makes use of a Bayes normalisation factor during probabilistic inference to convert the likelihoods that result from quantum interference effects into probability values. The interpretation of this operation is not clear and leads to extremely skewed intensity waves that make the task of prediction of these irrational decisions challenging. This article proposes the law of balance, a novel mathematical formalism for probabilistic inferences in quantum-like Bayesian networks, based on the notion of balanced intensity waves. The general idea is to balance the intensity waves resulting from quantum interference in such a way that, during Bayes normalisation, they cancel each other. With this representation, we also propose the law of maximum uncertainty, which is a method to predict these paradoxes by selecting the litudes of the wave with the highest entropy. Empirical results show that the law of balance together with the law of maximum uncertainty were able to accurately predict different experiments from cognitive psychology showing paradoxical or irrational decisions, namely in the Prisoner’s Dilemma game and the Two-Stage Gambling Game.
Concept combination, emergence and abduction
Publisher: IEEE
Date: 03-2010
Kernel method based on non-linear coherent states in quantum feature space
Publisher: IOP Publishing
Date: 09-08-2022
Abstract: In this paper, by mapping datasets to a set of non-linear coherent states, the process of encoding inputs in quantum states as a non-linear feature map is re-interpreted. As a result of the fact that the radial basis function is recovered when data is mapped to a complex Hilbert state represented by coherent states, non-linear coherent states can be considered as a natural generalisation of the associated kernels. In this paper, as an ex le of kernels based on non-linear coherent states, we propose kernel functions based on generalized hypergeometric functions, as orthogonal polynomial functions. The suggested kernel is implemented with the support vector machine (SVM) on two well known datasets (make_circles, and make_moons) and outperforms the baselines, even when the level of noise is high. In addition, we study the impact of the geometrical properties of the feature space, obtained by the non-linear coherent states, on the SVM classification task, by considering the Fubini–Study metric of the associated coherent states.
On the Irrationality of Being in Two Minds
Publisher: MDPI AG
Date: 04-02-2020
DOI: 10.3390/E22020174
Abstract: This article presents a general framework that allows irrational decision making to be theoretically investigated and simulated. Rationality in human decision making under uncertainty is normatively prescribed by the axioms of probability theory in order to maximize utility. However, substantial literature from psychology and cognitive science shows that human decisions regularly deviate from these axioms. Bistable probabilities are proposed as a principled and straight forward means for modeling (ir)rational decision making, which occurs when a decision maker is in “two minds”. We show that bistable probabilities can be formalized by positive-operator-valued projections in quantum mechanics. We found that (1) irrational decision making necessarily involves a wider spectrum of causal relationships than rational decision making, (2) the accessible information turns out to be greater in irrational decision making when compared to rational decision making, and (3) irrational decision making is quantum-like because it violates the Bell–Wigner polytope.
Modelling cued-target recall using quantum inspired models of target activation
Publisher: Springer International Publishing
Date: 2016
Optimization of an integrated model for automatic reduction and expansion of long queries
Publisher: Springer Berlin Heidelberg
Date: 2013
Augmenting web service discovery by cognitive semantics and abduction
Publisher: IEEE
Date: 2009
Integrating and evaluating neural word embeddings in information retrieval
Publisher: ACM
Date: 08-12-2015
Quantum Theory-inspired search
Publisher: Elsevier BV
Date: 2011
Classifying document titles based on information inference
Publisher: Springer Berlin Heidelberg
Date: 2003
DOI: 10.1007/B14019
Towards a quantum-like cognitive architecture for decision-making
Publisher: Cambridge University Press (CUP)
Date: 2020
DOI: 10.1017/S0140525X19001687
Abstract: We propose an alternative and unifying framework for decision-making that, by using quantum mechanics, provides more generalised cognitive and decision models with the ability to represent more information compared to classical models. This framework can accommodate and predict several cognitive biases reported in Lieder & Griffiths without heavy reliance on heuristics or on assumptions of the computational resources of the mind.
Utilizing search intent in topic ontology-based user profile for Web mining
Publisher: IEEE
Date: 12-2007
DOI: 10.1109/WI.2006.186
Generalising unitary time evolution
Publisher: Springer Berlin Heidelberg
Date: 2009
An Extension Of Combinatorial Contextuality For Cognitive Protocols
Publisher: Frontiers Media SA
Date: 20-05-2022
DOI: 10.3389/FPSYG.2022.871028
Abstract: This article extends the combinatorial approach to support the determination of contextuality amidst causal influences. Contextuality is an active field of study in Quantum Cognition, in systems relating to mental phenomena, such as concepts in human memory. In the cognitive field of study, a contemporary challenge facing the determination of whether a phenomenon is contextual has been the identification and management of disturbances. Whether or not said disturbances are identified through the modeling approach, constitute causal influences, or are disregardableas as noise is important, as contextuality cannot be adequately determined in the presence of causal influences. To address this challenge, we first provide a formalization of necessary elements of the combinatorial approach within the language of canonical causal models. Through this formalization, we extend the combinatorial approach to support a measurement and treatment of disturbance, and offer techniques to separately distinguish noise and causal influences. Thereafter, we develop a protocol through which these elements may be represented within a cognitive experiment. As human cognition seems rife with causal influences, cognitive modelers may apply the extended combinatorial approach to practically determine the contextuality of cognitive phenomena.
An intelligent information agent for document title classification and filtering in document-intensive domains
Publisher: Elsevier BV
Date: 11-2007
Empirical analysis of the effect of dimension reduction and word order on semantic vectors
Publisher: World Scientific Pub Co Pte Lt
Date: 09-2012
DOI: 10.1142/S1793351X12500055
Abstract: The aim of this paper is to provide a comparison of various algorithms and parameters to build reduced semantic spaces. The effect of dimension reduction, the stability of the representation and the effect of word order are examined in the context of the five algorithms bearing on semantic vectors: Random projection (RP), singular value decomposition (SVD), non-negative matrix factorization (NMF), permutations and holographic reduced representations (HRR). The quality of semantic representation was tested by means of synonym finding task using the TOEFL test on the TASA corpus. Dimension reduction was found to improve the quality of semantic representation but it is hard to find the optimal parameter settings. Even though dimension reduction by RP was found to be more generally applicable than SVD, the semantic vectors produced by RP are somewhat unstable. The effect of encoding word order into the semantic vector representation via HRR did not lead to any increase in scores over vectors constructed from word co-occurrence in context information. In this regard, very small context windows resulted in better semantic vectors for the TOEFL test.
Extracting spooky-activation-at-a-distance from considerations of entanglement
Publisher: Springer Berlin Heidelberg
Date: 2009
Towards a belief-revision-based adaptive and context-sensitive information retrieval system
Publisher: Association for Computing Machinery (ACM)
Date: 03-2008
Abstract: In an adaptive information retrieval (IR) setting, the information seekers' beliefs about which terms are relevant or nonrelevant will naturally fluctuate. This article investigates how the theory of belief revision can be used to model adaptive IR. More specifically, belief revision logic provides a rich representation scheme to formalize retrieval contexts so as to disambiguate vague user queries. In addition, belief revision theory underpins the development of an effective mechanism to revise user profiles in accordance with information seekers' changing information needs. It is argued that information retrieval contexts can be extracted by means of the information-flow text mining method so as to realize a highly autonomous adaptive IR system. The extra bonus of a belief-based IR model is that its retrieval behavior is more predictable and explanatory. Our initial experiments show that the belief-based adaptive IR system is as effective as a classical adaptive IR system. To our best knowledge, this is the first successful implementation and evaluation of a logic-based adaptive IR model which can efficiently process large IR collections.
Non-compositional concepts and quantum tests
Publisher: AIP
Date: 2012
DOI: 10.1063/1.3688999
What makes an effective clinical query and querier?
Publisher: Wiley
Date: 18-09-2017
DOI: 10.1002/ASI.23959
Is There Something Quantum-Like about the Human Mental Lexicon?
Publisher: Springer Berlin Heidelberg
Date: 2009
LINDA-BN: An Interpretable Probabilistic Approach for Demystifying Black-box Predictive Models
Publisher: Elsevier BV
Date: 11-2021
Beyond ontology in information systems
Publisher: Springer Berlin Heidelberg
Date: 2009
The quantum inspired modelling of changing attitudes and self-organising societies
Publisher: Springer Berlin Heidelberg
Date: 2012
Contextuality and context-sensitivity in probabilistic models of cognition
Publisher: Center for Open Science
Date: 15-09-2022
Abstract: The context-sensitivity of cognition has been demonstrated across a wide range of cognitive functions such as perception, memory, judgement and decision making. A related term, ‘contextuality’, has appeared from the field of quantum cognition, with mounting empirical evidence demonstrating that cognitive phenomena are sometimes contextual. Contextuality is a subtle notion that influences how we must view the properties of the cognitive phenomenon being studied. This article addresses the questions: What does it mean for a cognitive phenomenon to be contextual? What are the implications of contextuality for probabilistic models of cognition? How does contextuality differ from context-sensitivity? Starting from George Boole’s “conditions of possible experience”, we argue that a probabilistic model of a cognitive phenomenon is necessarily subject to an assumption of realism. By this we mean that the phenomenon being studied is assumed to have cognitive properties with a definite value independent of observation. In contrast, quantum cognition holds that a cognitive property maybe indeterminate, i.e., its properties do not have well established values prior to observation. We argue that indeterminacy is sufficient for incompatibility between cognitive properties. In turn, incompatibility is necessary fortheir contextuality. The significance of this argument for cognitive psychology is the following: if a cognitive phenomenon is found to be contextual, then there is reason to believe it may be indeterminate. We illustrate by means of two crowdsourced experiments how context-sensitivity and contextuality of cognitive properties in the form of facial trait judgements can be characterized from empirical data. Finally, we conceptually and formally contrast contextuality with context-sensitivity. We propose that both involve a form of context dependence, with causalitybeing the differentiating factor: the context dependence in context-sensitivity has a causal basis, whereas the context dependence in contextuality is acausal. The resulting implications forprobabilistic models of cognition are discussed.
Is there something quantum-like about the human mental lexicon?
Publisher: Elsevier BV
Date: 10-2009
Reinforcing trust in autonomous systems: A quantum cognitive approach
Publisher: Springer International Publishing
Date: 2018
Modelling contextuality by probabilistic programs with hypergraph semantics
Publisher: Elsevier BV
Date: 12-2018
A two-stage decision model for information filtering
Publisher: Elsevier BV
Date: 02-2012
A 3D visualization approach for process training in office environments
Publisher: Springer International Publishing
Date: 2016
Structural block driven enhanced convolutional neural representation for relation extraction
Publisher: Elsevier BV
Date: 2020
Are Decisions of Image Trustworthiness Contextual? A Pilot Study
Publisher: Springer International Publishing
Date: 2019
Using Information Filtering in Web Data Mining Process
Publisher: IEEE
Date: 11-2007
DOI: 10.1109/WI.2007.24
Learning domain-specific sentiment lexicons for predicting product sales
Publisher: IEEE
Date: 10-2011
Syntax and operational semantics of a probabilistic programming language with scopes
Publisher: Elsevier BV
Date: 10-2016
Rough sets based reasoning and pattern mining for a two-stage information filtering system
Publisher: ACM
Date: 26-10-2010
ADCS reaches adulthood: an analysis of the conference and its community over the last eighteen years
Publisher: ACM
Date: 05-12-2013
Leveraging Web 2.0 data for scalable semi-supervised learning of domain-specific sentiment lexicons
Publisher: ACM
Date: 24-10-2011
Concept Induction via Fuzzy C-Means Clustering on a High Dimensional Semantic Space
Publisher: Wiley
Date: 20-04-2007
Quantum-Like Structure in Multidimensional Relevance Judgements
Publisher: Springer International Publishing
Date: 2020
Contextuality and context-sensitivity in probabilistic models of cognition
Publisher: Elsevier BV
Date: 02-2023
Belief revision and possibilistic logic for adaptive information filtering agents
Publisher: IEEE Comput. Soc
Date: 2000
Web searching: A process-oriented experimental study of three interactive search paradigms
Publisher: Wiley
Date: 14-12-2002
DOI: 10.1002/ASI.10015
Transepistemic abduction
Publisher: Oxford University Press (OUP)
Date: 02-2021
Abstract: Frequently people draw on different domains of knowledge to reach a conclusion that seems reasonable despite being difficult to justify from the perspective of a single domain. For ex le, there appears to be no reason for ethics to involve mathematics, nor is there a mechanism in mathematics to embrace moral questions however, both ethics and mathematics are likely to be involved in resolving questions about how an autonomous vehicle should make decisions in a social context. In this paper, we present a specialized mode of reasoning, transepistemic abduction (TeA), which establishes how two agents, in order to satisfactorily explain a phenomenon, reason across two epistemic domains despite each agent being ignorant of the other’s domain knowledge. We formalize TeA with epistemic logic and provide a naturalized ex le that brings together a psychosocial agent and a computational agent for the analysis of subjective text. We find that interaction between agents is critical to the process of TeA and that there are limits to the formalization while remaining true to naturalized reasoning. We conclude with some important implications of these findings for future work in this area.
Introduction to the special issue on quantum cognition
Publisher: Elsevier BV
Date: 10-2009
An evaluation of corpus-driven measures of medical concept similarity for information retrieval
Publisher: ACM
Date: 29-10-2012
A Quantum Qualia hypothesis: from Quantum Cognition to Quantum Perception
Publisher: Center for Open Science
Date: 02-06-2023
Abstract: To arbitrate theories of consciousness, scientists need mathematical models of consciousness or qualia. The dominant view regards qualia as points in a dimensional space. Implicit in this view is that qualia can be in principle measured without any effects on it. This contrasts with intuitions and various empirical findings about qualia that they can change when they are measured. How can we deal with entities that are affected by the act of measurement? We argue that mathematical formalisms of quantum theory are precisely developed to deal with such situations. Here, we propose qualia as “observables” (i.e., entities that can be in principle observed), sensory inputs and internal attention as “states” that specify the context that a measurement takes place, and “measurement outcomes” as expected values of qualia observables in a certain state. We propose to call this formalism as the Quantum Qualia (QQ) hypothesis. QQ proposes that qualia observables in a state interact with the world, as if through an interface of sensory inputs and internal attention. This qualia-interface-world scheme has the same mathematical structure as observables-states-environment in quantum theory. Within this framework, mathematical concepts of “instruments” can precisely formalize how measurements can affect (or update) qualia observables and states. QQ naturally explains intuitions about qualia, such as the nature of qualia as indeterminate entities. Finally, QQ leads to empirical predictions that challenge traditional models, such as order effects and violations of Bell inequalities. With further confirmation of such predictions, we believe that QQ will emerge as a viable alternate mathematical model of qualia, offering an important step towards understanding the nature and structures of consciousness.
Bistable probabilities: a unified framework for studying rationality and irrationality in classical and quantum games
Publisher: The Royal Society
Date: 05-2020
Abstract: This article presents a unified probabilistic framework that allows both rational and irrational decision-making to be theoretically investigated and simulated in classical and quantum games. Rational choice theory is a basic component of game-theoretic models, which assumes that a decision-maker chooses the best action according to their preferences. In this article, we define irrationality as a deviation from a rational choice. Bistable probabilities are proposed as a principled and straightforward means for modelling (ir)rational decision-making in games. Bistable variants of classical and quantum Prisoner’s Dilemma, Stag Hunt and Chicken are analysed in order to assess the effect of (ir)rationality on agent utility and Nash equilibria. It was found that up to three Nash equilibria exist for all three classical bistable games and maximal utility was attained when agents were rational. Up to three Nash equilibria exist for all three quantum bistable games however, utility was shown to increase according to higher levels of agent irrationality.
Investigating aboutness axioms using information fields
Publisher: Springer London
Date: 1994
Text based knowledge discovery with information flow analysis
Publisher: Springer Berlin Heidelberg
Date: 2006
DOI: 10.1007/11610113_60
How everyday language can and will boost effective information retrieval
Publisher: Wiley
Date: 06-11-2015
DOI: 10.1002/ASI.23279
Efficient analogy completion with word embedding clusters
Publisher: ACM
Date: 07-12-2017
Interference in text categorisation experiments
Publisher: Springer Berlin Heidelberg
Date: 2014
Stratified hypermedia structures for information disclosure
Publisher: Oxford University Press (OUP)
Date: 06-1992
A Quantum Model of Trust Calibration in Human–AI Interactions
Publisher: MDPI AG
Date: 20-09-2023
DOI: 10.3390/E25091362
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