- •Preface
- •Contents
- •Contributors
- •Modeling Meaning Associated with Documental Entities: Introducing the Brussels Quantum Approach
- •1 Introduction
- •2 The Double-Slit Experiment
- •3 Interrogative Processes
- •4 Modeling the QWeb
- •5 Adding Context
- •6 Conclusion
- •Appendix 1: Interference Plus Context Effects
- •Appendix 2: Meaning Bond
- •References
- •1 Introduction
- •2 Bell Test in the Problem of Cognitive Semantic Information Retrieval
- •2.1 Bell Inequality and Its Interpretation
- •2.2 Bell Test in Semantic Retrieving
- •3 Results
- •References
- •1 Introduction
- •2 Basics of Quantum Probability Theory
- •3 Steps to Build an HSM Model
- •3.1 How to Determine the Compatibility Relations
- •3.2 How to Determine the Dimension
- •3.5 Compute the Choice Probabilities
- •3.6 Estimate Model Parameters, Compare and Test Models
- •4 Computer Programs
- •5 Concluding Comments
- •References
- •Basics of Quantum Theory for Quantum-Like Modeling Information Retrieval
- •1 Introduction
- •3 Quantum Mathematics
- •3.1 Hermitian Operators in Hilbert Space
- •3.2 Pure and Mixed States: Normalized Vectors and Density Operators
- •4 Quantum Mechanics: Postulates
- •5 Compatible and Incompatible Observables
- •5.1 Post-Measurement State From the Projection Postulate
- •6 Interpretations of Quantum Mechanics
- •6.1 Ensemble and Individual Interpretations
- •6.2 Information Interpretations
- •7 Quantum Conditional (Transition) Probability
- •9 Formula of Total Probability with the Interference Term
- •9.1 Växjö (Realist Ensemble Contextual) Interpretation of Quantum Mechanics
- •10 Quantum Logic
- •11 Space of Square Integrable Functions as a State Space
- •12 Operation of Tensor Product
- •14 Qubit
- •15 Entanglement
- •References
- •1 Introduction
- •2 Background
- •2.1 Distributional Hypothesis
- •2.2 A Brief History of Word Embedding
- •3 Applications of Word Embedding
- •3.1 Word-Level Applications
- •3.2 Sentence-Level Application
- •3.3 Sentence-Pair Level Application
- •3.4 Seq2seq Application
- •3.5 Evaluation
- •4 Reconsidering Word Embedding
- •4.1 Limitations
- •4.2 Trends
- •4.4 Towards Dynamic Word Embedding
- •5 Conclusion
- •References
- •1 Introduction
- •2 Motivating Example: Car Dealership
- •3 Modelling Elementary Data Types
- •3.1 Orthogonal Data Types
- •3.2 Non-orthogonal Data Types
- •4 Data Type Construction
- •5 Quantum-Based Data Type Constructors
- •5.1 Tuple Data Type Constructor
- •5.2 Set Data Type Constructor
- •6 Conclusion
- •References
- •Incorporating Weights into a Quantum-Logic-Based Query Language
- •1 Introduction
- •2 A Motivating Example
- •5 Logic-Based Weighting
- •6 Related Work
- •7 Conclusion
- •References
- •Searching for Information with Meet and Join Operators
- •1 Introduction
- •2 Background
- •2.1 Vector Spaces
- •2.2 Sets Versus Vector Spaces
- •2.3 The Boolean Model for IR
- •2.5 The Probabilistic Models
- •3 Meet and Join
- •4 Structures of a Query-by-Theme Language
- •4.1 Features and Terms
- •4.2 Themes
- •4.3 Document Ranking
- •4.4 Meet and Join Operators
- •5 Implementation of a Query-by-Theme Language
- •6 Related Work
- •7 Discussion and Future Work
- •References
- •Index
- •Preface
- •Organization
- •Contents
- •Fundamentals
- •Why Should We Use Quantum Theory?
- •1 Introduction
- •2 On the Human Science/Natural Science Issue
- •3 The Human Roots of Quantum Science
- •4 Qualitative Parallels Between Quantum Theory and the Human Sciences
- •5 Early Quantitative Applications of Quantum Theory to the Human Sciences
- •6 Epilogue
- •References
- •Quantum Cognition
- •1 Introduction
- •2 The Quantum Persuasion Approach
- •3 Experimental Design
- •3.1 Testing for Perspective Incompatibility
- •3.2 Quantum Persuasion
- •3.3 Predictions
- •4 Results
- •4.1 Descriptive Statistics
- •4.2 Data Analysis
- •4.3 Interpretation
- •5 Discussion and Concluding Remarks
- •References
- •1 Introduction
- •2 A Probabilistic Fusion Model of Trust
- •3 Contextuality
- •4 Experiment
- •4.1 Subjects
- •4.2 Design and Materials
- •4.3 Procedure
- •4.4 Results
- •4.5 Discussion
- •5 Summary and Conclusions
- •References
- •Probabilistic Programs for Investigating Contextuality in Human Information Processing
- •1 Introduction
- •2 A Framework for Determining Contextuality in Human Information Processing
- •3 Using Probabilistic Programs to Simulate Bell Scenario Experiments
- •References
- •1 Familiarity and Recollection, Verbatim and Gist
- •2 True Memory, False Memory, over Distributed Memory
- •3 The Hamiltonian Based QEM Model
- •4 Data and Prediction
- •5 Discussion
- •References
- •Decision-Making
- •1 Introduction
- •1.2 Two Stage Gambling Game
- •2 Quantum Probabilities and Waves
- •2.1 Intensity Waves
- •2.2 The Law of Balance and Probability Waves
- •2.3 Probability Waves
- •3 Law of Maximal Uncertainty
- •3.1 Principle of Entropy
- •3.2 Mirror Principle
- •4 Conclusion
- •References
- •1 Introduction
- •4 Quantum-Like Bayesian Networks
- •7.1 Results and Discussion
- •8 Conclusion
- •References
- •Cybernetics and AI
- •1 Introduction
- •2 Modeling of the Vehicle
- •2.1 Introduction to Braitenberg Vehicles
- •2.2 Quantum Approach for BV Decision Making
- •3 Topics in Eigenlogic
- •3.1 The Eigenlogic Operators
- •3.2 Incorporation of Fuzzy Logic
- •4 BV Quantum Robot Simulation Results
- •4.1 Simulation Environment
- •5 Quantum Wheel of Emotions
- •6 Discussion and Conclusion
- •7 Credits and Acknowledgements
- •References
- •1 Introduction
- •2.1 What Is Intelligence?
- •2.2 Human Intelligence and Quantum Cognition
- •2.3 In Search of the General Principles of Intelligence
- •3 Towards a Moral Test
- •4 Compositional Quantum Cognition
- •4.1 Categorical Compositional Model of Meaning
- •4.2 Proof of Concept: Compositional Quantum Cognition
- •5 Implementation of a Moral Test
- •5.2 Step II: A Toy Example, Moral Dilemmas and Context Effects
- •5.4 Step IV. Application for AI
- •6 Discussion and Conclusion
- •Appendix A: Example of a Moral Dilemma
- •References
- •Probability and Beyond
- •1 Introduction
- •2 The Theory of Density Hypercubes
- •2.1 Construction of the Theory
- •2.2 Component Symmetries
- •2.3 Normalisation and Causality
- •3 Decoherence and Hyper-decoherence
- •3.1 Decoherence to Classical Theory
- •4 Higher Order Interference
- •5 Conclusions
- •A Proofs
- •References
- •Information Retrieval
- •1 Introduction
- •2 Related Work
- •3 Quantum Entanglement and Bell Inequality
- •5 Experiment Settings
- •5.1 Dataset
- •5.3 Experimental Procedure
- •6 Results and Discussion
- •7 Conclusion
- •A Appendix
- •References
- •Investigating Bell Inequalities for Multidimensional Relevance Judgments in Information Retrieval
- •1 Introduction
- •2 Quantifying Relevance Dimensions
- •3 Deriving a Bell Inequality for Documents
- •3.1 CHSH Inequality
- •3.2 CHSH Inequality for Documents Using the Trace Method
- •4 Experiment and Results
- •5 Conclusion and Future Work
- •A Appendix
- •References
- •Short Paper
- •An Update on Updating
- •References
- •Author Index
- •The Sure Thing principle, the Disjunction Effect and the Law of Total Probability
- •Material and methods
- •Experimental results.
- •Experiment 1
- •Experiment 2
- •More versus less risk averse participants
- •Theoretical analysis
- •Shared features of the theoretical models
- •The Markov model
- •The quantum-like model
- •Logistic model
- •Theoretical model performance
- •Model comparison for risk attitude partitioning.
- •Discussion
- •Authors contributions
- •Ethical clearance
- •Funding
- •Acknowledgements
- •References
- •Markov versus quantum dynamic models of belief change during evidence monitoring
- •Results
- •Model comparisons.
- •Discussion
- •Methods
- •Participants.
- •Task.
- •Procedure.
- •Mathematical Models.
- •Acknowledgements
- •New Developments for Value-based Decisions
- •Context Effects in Preferential Choice
- •Comparison of Model Mechanisms
- •Qualitative Empirical Comparisons
- •Quantitative Empirical Comparisons
- •Neural Mechanisms of Value Accumulation
- •Neuroimaging Studies of Context Effects and Attribute-Wise Decision Processes
- •Concluding Remarks
- •Acknowledgments
- •References
- •Comparison of Markov versus quantum dynamical models of human decision making
- •CONFLICT OF INTEREST
- •Endnotes
- •FURTHER READING
- •REFERENCES
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26 |
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6 Conclusion
In this chapter, we have motivated a fundamental distinction between the Web of printed pages (or any other collection of documental entities) and a more abstract entity of meaning associated with it, which we have called the QWeb, for which we have proposed a Hilbertian (Born rule based) quantum model. In our discussion, we have focused on an important class of measurements, which we have called the Ôtell a story measurementsÕ, whose outcome-states are associated with the n webpages and were taken to form a basis of the (n-dimensional) Hilbert space. We have tested the model by considering the speciÞc situation where only stories manifestly containing the words denoting certain concepts are considered, in order to allow to relate the theoretical probabilities with those obtained by calculating the relative frequency of occurrence and co-occurrence of these words, which in turn depend on how much the associated concepts are meaning-connected. We have done so by also considering context effects, in addition to interference effects, the former being modeled by means of orthogonal projection operators and the latter by means of superposition states. Also, we have extensively used the double-slit experiment as a guideline to motivate the transmigration of fundamental notions from physics to human cognition and theoretical computer science.
Note that more general models than those explored here can also be considered, exploiting more general versions of the quantum formalism, like the GTR-model and the extended Bloch representation of quantum mechanics [8Ð10, 12, 13]. Hence, the ÒQÓ in ÒQWebÓ refers to a quantum structure that need not to be understood in the limited sense of the standard quantum formalism. We have also mentioned in Sect. 5 the possibility of working in a multi-sector Fock space, as a way to extend the range of probabilities that can be modeled. However, we observed that not all values can be modeled in this way. Another direction that can be explored (as an alternative to context effects) is to consider states whose meaning connections are not necessarily uniform, although still localized within the sets JA and JB . A further other direction is to consider step function states extending beyond the manifest word subspaces. For example, states of the form: |ψAa = a |χA + a¯ |χ¯A , where
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Regarding the co-occurrences of words in documents, it is worth observing that they are determined by the meaning carried by the corresponding concepts and documents, and not by the physical properties of the latter. This means that we can access the traces left by meaning by analyzing the co-occurrence of words in the different physical (printed or stored in memory) documents, and that such meaning Òstick outÓ from the latter in ways that can be accessed without the intervention of the human minds that created it. Note however that the meaning extending out of these documents, here the webpages, is not the full meaning of the QWeb, as encoded in its quantum state. This is so because one cannot reconstruct the premeasurement state of a quantum measurement by having only access to the outcome (collapsed) states and the associated probabilities of a single measurement. For this, one needs to perform a series of different measurements, characterized by
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Modeling Meaning Associated with Documental Entities: Introducing the. . . |
27 |
different informationally complete bases, as is done in the so-called quantum state tomography [22]. Here we only considered the basis associated with the webpages, and it is still unclear which complementary measurements could be deÞned, using different bases and having a clear operational meaning, that is, which can be concretely performed, at least in principle [4].
Let us also observe that, generally speaking, in IR situations also the modeling of how human minds interact with the QWeb can and will play a role, in addition to the modeling per se of the QWeb. Indeed, as we mentioned already in Sect. 3, the outcome provided by a measurement of the QWeb, say a given story in a Òtell a story measurement,Ó becomes the input with which human minds will have to further interact with, which again can be described as a deterministic or indeterministic context, possibly creating new meanings. The formalism of quantum theory can again be used to model these human cognitive interactions, which is what is typically investigated in cognitive psychology experiments and again modeled using the mathematical formalism of quantum theory, in the emerging Þeld known as quantum cognition; see [15] and the references cited therein.
We stress that, in our view, it is only when a more abstractÑmeaning orientedÑ approach is adopted in relation to documental entities, like the Web, and an operational-realistic modeling of its conceptual structure is attempted, exploiting the panoply of quantum effects that have been discovered in the physicsÕ laboratories, that quoting from [4]: Òa deeper understanding of how meaning can leave its traces in documents can be accessed, possibly leading to the development of more contextsensitive and semantic-oriented information retrieval models.Ó Note however that we have not attempted here any evaluation of what are the pros and cons, differences and similarities, of our modeling and the other existing approaches, also integrating quantum features. Let us just mention, to give a few examples, FoskettÕs work in the eighties of last century [25], Agosti et al. work in the nineties [19, 20], and Sordoni et al. more recent work, where the double-slit experiment analogy is also used to investigate quantum interference effects for topic models such as LDA [29].12
To conclude, let us observe that in the same way the quantum cognition program, and its effectiveness, does not require the existence of microscopic quantum processes in the human brain [15], the path Òtowards a quantum WebÓ that we have sketched here, and in [4], where the Web of written documents is viewed as a Òcollection of tracesÓ left by an abstract meaning entityÑthe QWebÑshould not be confused with the path Òtowards a quantum InternetÓ [23], which is about constructing an Internet able to transmit Òquantum information,Ó instead of just Òclassical information,Ó that is, information carried by entities allowing quantum superposition to also take place and be fully exploited. In the future, there will
12Sordoni et al. represented documents as superposition of topics, whereas in our approach documents are considered to be outcomes of the Ôtell a story measurementsÕ. In other words, for Sordoni et al. a document is like an electron entering the double-slit apparatus, and the terms like the traces of impact on the detection screen. This is different from our perspective, where documents are instead the traces of impact on the detection screen and the equivalent of the electron entity is the QWeb entity.
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28 |
D. Aerts et al. |
certainly be a Quantum Internet and a Quantum Web, that is, there will be a physical Internet more and more similar in structure to the abstract Web of meanings it conveys. These will be fascinating times for the evolution of the human race on this planet, who will then be immersed in a fully developed noosphere, but at the moment we are not there yet.
Appendix 1: Interference Plus Context Effects
In this appendix, we show that using the Òinterference plus context effectsÓ formula (24), all data can in principle be modeled, by suitably choosing the different
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where |e , |f are unit vectors in H1, |e , |f are unit vectors in H3. Considering that the mutually orthogonal, it follows that:
are unit vectors in H2, and |e , |f vectors in the expansions (28) are
pAμA = ψA|N MXw N |ψA = ψA|P1|ψA = ψA|(aeiα |e ) = a2,
pB μB = ψB |N MXw N |ψB = ψB |P1|ψB = ψB |(beiβ |f ) = b2. (29)
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We also have:
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+ |
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|
nA,X nB,X |
|
c |
cos φ |
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pApB |
|
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|
|
nAnB |
|
||||||||||||||||||||||||||
|
|
|
|
|
|
|
|
|
|
|
nAnB |
|
|
|
|
|
(35)