Subadditivity of Episodic Memory States: A Complementarity Approach

Denolf, Jacob

doi:10.1007/978-3-319-15931-7_6

“…The Hamiltonian-QEM model succeeds in a qualitatively good fit with 8 dynamical parameters for the 64 data points of the experimental data set Brainerd et al [8]. Beyond this exploratory test of the Hamiltonian-QEM for source memory, the model must still be submitted to a comparative statistical test with recent generalisations and modifications of the QEM model, in particular the Generalized-QEM model by Trueblood and Hemmer [25] and Complementary Memory Types model by Denolf and Lambert-Mogiliansky [15,16,20].…”

Section: Discussionmentioning

confidence: 99%

“…Independently, Denolf and Lambert-Mogiliansky have considered the accessing of gist and verbatim as incompatible process features. This aspect is implemented in an intrinsically quantum-like manner in their complementarity-based model for Complementary Memory Types (CMT) [15,16,20]. We previously developed a Hamiltonian dynamical extension of QEM for item memory tasks [11].…”

Section: Familiarity and Recollection Verbatim And Gistmentioning

confidence: 99%

“…The raw data set was provided by dr. Charles Brainerd. This same data set is used in the CMT model development by Denolf and Lambert-Mogiliansky[15,16], (their Table1 shows some typos for L 2 cues in the HFA, LFC and LFA set). We optimised the RMSE for 64 data points and Hamiltonian-QEM predictions using8 parameters {µ, µ ′ , γ, γ ′ HFC , γ ′ HFA , γ ′ LFC , γ ′ LFA , κ}.…”

mentioning

confidence: 99%

See 1 more Smart Citation

Episodic Source Memory over Distribution by Quantum-Like Dynamics – A Model Exploration

Broekaert

¹

,

Busemeyer

²

2019

Quantum Interaction

0

View full text Add to dashboard Cite

In source memory studies, a decision-maker is concerned with identifying the context in which a given episodic experience occurred. A common paradigm for studying source memory is the 'threelist' experimental paradigm, where a subject studies three lists of words and is later asked whether a given word appeared on one or more of the studied lists. Surprisingly, the sum total of the acceptance probabilities generated by asking for the source of a word separately for each list ('list 1?', 'list 2?', 'list 3?') exceeds the acceptance probability generated by asking whether that word occurred on the union of the lists ('list 1 or 2 or 3?'). The episodic memory for a given word therefore appears over distributed on the disjoint contexts of the lists. A quantum episodic memory model [QEM] was proposed by Brainerd, Wang and Reyna (2013) to explain this type of result. In this paper, we apply a Hamiltonian dynamical extension of QEM for over distribution of source memory. The Hamiltonian operators are simultaneously driven by parameters for re-allocation of gist-based and verbatim-based acceptance support as subjects are exposed to the cue word in the first temporal stage, and are attenuated for description-dependence by the querying probe in the second temporal stage. Overall, the model predicts well the choice proportions in both separate list and union list queries and the over distribution effect, suggesting that a Hamiltonian dynamics for QEM can provide a good account of the acceptance processes involved in episodic memory tasks.

show abstract

“…The raw data set was provided by dr. Charles Brainerd. This same data set is used in the CMT model development by Denolf and Lambert-Mogiliansky [15,16], (their Table1 shows some typos for L 2 cues in the HFA, LFC and LFA set). We optimised the RMSE for 64 data points and Hamiltonian-QEM predictions using 8 parameters {µ, µ , γ, γ HFC , γ HFA , γ LFC , γ LFA , κ}.…”

Section: Data and Predictionmentioning

confidence: 99%

Episodic source memory over distribution by quantum-like dynamics -- a model exploration

Broekaert¹,

Busemeyer²

2018

Preprint

0

View full text Add to dashboard Cite

In source memory studies, a decision-maker is concerned with identifying the context in which a given episodic experience occurred. A common paradigm for studying source memory is the 'threelist' experimental paradigm, where a subject studies three lists of words and is later asked whether a given word appeared on one or more of the studied lists. Surprisingly, the sum total of the acceptance probabilities generated by asking for the source of a word separately for each list ('list 1?', 'list 2?', 'list 3?') exceeds the acceptance probability generated by asking whether that word occurred on the union of the lists ('list 1 or 2 or 3?'). The episodic memory for a given word therefore appears over distributed on the disjoint contexts of the lists. A quantum episodic memory model [QEM] was proposed by Brainerd, Wang and Reyna (2013) to explain this type of result. In this paper, we apply a Hamiltonian dynamical extension of QEM for over distribution of source memory. The Hamiltonian operators are simultaneously driven by parameters for re-allocation of gist-based and verbatim-based acceptance support as subjects are exposed to the cue word in the first temporal stage, and are attenuated for description-dependence by the querying probe in the second temporal stage. Overall, the model predicts well the choice proportions in both separate list and union list queries and the over distribution effect, suggesting that a Hamiltonian dynamics for QEM can provide a good account of the acceptance processes involved in episodic memory tasks.

show abstract

“…Another quantum-like modeling perspective has been proposed by Busemeyer and Bruza [4,Ch.6] which provides unitary transformation matrices based on Feynman path analysis and ordering of the gist/verbatim processing of cues, which we will discuss below. Finally a complementarity based quantumlike development was done by Denolf and Subadditivity [17], and Denolf and Lambert-Mogiliansky [18]. Bohr's complementarity provides the gist-verbatim features by implementing for each an alternative basis of the Hilbert space.…”

Section: Explanations Of Eod Effectsmentioning

confidence: 99%

A Hamiltonian Driven Quantum-Like Model for Overdistribution in Episodic Memory Recollection

Broekaert

¹

,

Busemeyer

²

2017

View full text Add to dashboard Cite

While people famously forget genuine memories over time, they also tend to mistakenly over-recall equivalent memories concerning a given event. The memory phenomenon is known by the name of episodic overdistribution and occurs both in memories of disjunctions and partitions of mutually exclusive events and has been tested, modeled and documented in the literature. The total classical probability of recalling exclusive sub-events most often exceeds the probability of recalling the composed event, i.e., a subadditive total. We present a Hamiltonian driven propagation for the Quantum Episodic Memory model developed by Brainerd et al. [1] for the episodic memory overdistribution in the experimental immediate item false memory paradigm [1][2][3]. Following the Hamiltonian method of Busemeyer and Bruza [4] our model adds time-evolution of the perceived memory state through the stages of the experimental process based on psychologically interpretable parameters-γ c for recollection capability of cues, κ p for bias or description-dependence by probes and β for the average gist component in the memory state at start. With seven parameters the Hamiltonian model shows good accuracy of predictions both in the EOD-disjunction and in the EOD-subadditivity paradigm. We noticed either an outspoken preponderance of the gist over verbatim trace, or the opposite, in the initial memory state when β is real. Only for complex β a mix of both traces is present in the initial state for the EOD-subadditivity paradigm.

show abstract

Subadditivity of Episodic Memory States: A Complementarity Approach

Cited by 5 publications

References 4 publications

Episodic Source Memory over Distribution by Quantum-Like Dynamics – A Model Exploration

Episodic Source Memory over Distribution by Quantum-Like Dynamics – A Model Exploration

Episodic source memory over distribution by quantum-like dynamics -- a model exploration

A Hamiltonian Driven Quantum-Like Model for Overdistribution in Episodic Memory Recollection

Contact Info

Product

Resources

About