scholarly journals A framework for building cognitive process models

2020 ◽  
Vol 27 (6) ◽  
pp. 1218-1229
Author(s):  
Jana B. Jarecki ◽  
Jolene H. Tan ◽  
Mirjam A. Jenny
Keyword(s):  
Cognitive Process ◽  
Process Model ◽  
Current Knowledge ◽  
Process Models ◽  
Levels Of Abstraction ◽  
Information Transformation ◽  
The Mind ◽  
Mental Events ◽  
Specific Modeling ◽  
Reverse Inference

AbstractThe term process model is widely used, but rarely agreed upon. This paper proposes a framework for characterizing and building cognitive process models. Process models model not only inputs and outputs but also model the ongoing information transformations at a given level of abstraction. We argue that the following dimensions characterize process models: They have a scope that includes different levels of abstraction. They specify a hypothesized mental information transformation. They make predictions not only for the behavior of interest but also for processes. The models’ predictions for the processes can be derived from the input, without reverse inference from the output data. Moreover, the presumed information transformation steps are not contradicting current knowledge of human cognitive capacities. Lastly, process models require a conceptual scope specifying levels of abstraction for the information entering the mind, the proposed mental events, and the behavior of interest. This framework can be used for refining models before testing them or after testing them empirically, and it does not rely on specific modeling paradigms. It can be a guideline for developing cognitive process models. Moreover, the framework can advance currently unresolved debates about which models belong to the category of process models.

scholarly journals A Framework for Building Cognitive Process Models

2020 ◽  
Author(s):  
Jana Bianca Jarecki ◽  
Jolene Tan ◽  
Mirjam Jenny
Keyword(s):  
Cognitive Process ◽  
Process Model ◽  
Current Knowledge ◽  
Process Models ◽  
Four Dimensions ◽  
Information Transformation ◽  
The Mind ◽  
Mental Events ◽  
Specific Modeling ◽  
Reverse Inference

The term process model is widely used but rarely agreed upon. This paper proposes a framework for characterizing and building cognitive process models. Process models model not only inputs and outputs but also model the ongoing information transformations at a given level of abstraction. We argue that four dimensions characterize process models: They specify intermediate stages containing the hypothesized mental information processing. They make predictions not only for the behavior of interest but also for process-related variables. Third, the models’ process predictions can be derived from the input without reverse inference from the output data. Fourth, the presumed information transformation steps are not contradicting current knowledge of human cognitive capacities. Finally, process models require a conceptual scope specifying what the model refers to, that is, the information entering the mind, the proposed mental events, and the behavior of interest. This framework can be used for refining models before testing them or after testing them empirically, and it does not rely on specific modeling paradigms. It can be a guideline for developing cognitive process models. Moreover, the framework can advance currently unresolved debates about which models belong to the category of process models.

scholarly journals Validating Computational Cognitive Process Models across Multiple Timescales

2010 ◽  
Vol 2 (2) ◽  
pp. 108-127 ◽  
Author(s):  
Christopher Myers ◽  
Kevin Gluck ◽  
Glenn Gunzelmann ◽  
Michael Krusmark
Keyword(s):  
Cognitive Process ◽  
Process Model ◽  
Model Comparison ◽  
Cognitive Architecture ◽  
Process Models ◽  
Cognitive Architectures ◽  
Levels Of Abstraction ◽  
Multiple Timescales ◽  
Functional Roles ◽  
Aerial Vehicle

Validating Computational Cognitive Process Models across Multiple TimescalesModel comparison is vital to evaluating progress in the fields of artificial general intelligence (AGI) and cognitive architecture. As they mature, AGI and cognitive architectures will become increasingly capable of providing a single model that completes a multitude of tasks, some of which the model was not specifically engineered to perform. These models will be expected to operate for extended periods of time and serve functional roles in real-world contexts. Questions arise regarding how to evaluate such models appropriately, including issues pertaining to model comparison and validation. In this paper, we specifically address model validation across multiple levels of abstraction, using an existing computational process model of unmanned aerial vehicle basic maneuvering to illustrate the relationship between validity and timescales of analysis.

Methods for Formalizing Cognitive Graphics and Visual Models using XML Schemas

2021 ◽  
pp. 51-77
Author(s):  
A.I. Vlasov ◽  
L.V. Zhuravleva ◽  
V.V. Kazakov
Keyword(s):  
Complex Systems ◽  
Data Storage ◽  
Process Model ◽  
Xml Schema ◽  
Process Models ◽  
Levels Of Abstraction ◽  
Visual Model ◽  
Visual Models ◽  
Development Processes ◽  
Cognitive Graphics

The paper analyses methods of formalising cognitive graphics and visual models using promising data storage formats. We describe the primary visual design techniques and note that they appear to be rather disconnected. We show that ensuring the coupling of data and knowledge in visual models featuring various levels of detail is the main problem in integrated usage of visual modelling tools. We analyse approaches to solving the semantic discontinuity problem, that is, provided we meet the condition under which the properties of objects, systems and processes under consideration are only input once, it is necessary to ensure that data from models corresponding to different levels of abstraction (expertise) is interconnected. One should assume that the main drawback of existing approaches to visualising complex systems is that these approaches are fragmented and isolated, which means that they will only be effective locally. The paper proposes several approaches to formalising visual models employing XML schemas, which ensures that development processes concerning visual models of various levels of abstraction are synchronised and interconnected. We use a BPMN (Business, Process, Model and Notation) visual model as an example that shows the principles of representing visual model elements by means of XML schemas. The paper provides a detailed analysis of the principles behind layer interaction in the BPMN model through flexible XML description. We show that the BPMN data structure boasts its own XML schema containing all the parameters of a class or an element. The paper presents several examples and a technique of applying an XML schema to a BPMN model, including a further generalisation aimed at formally representing the process models of complex systems

scholarly journals Mining Users' Intents from Logs

2015 ◽  
Vol 6 (2) ◽  
pp. 43-71 ◽  
Author(s):  
Ghazaleh Khodabandelou ◽  
Charlotte Hug ◽  
Camille Salinesi
Keyword(s):  
Systems Engineering ◽  
Process Modeling ◽  
Process Model ◽  
Process Mining ◽  
Process Models ◽  
Levels Of Abstraction ◽  
Engineering Research ◽  
Event Logs ◽  
Novel Approach ◽  
Different Levels

Intentions play a key role in information systems engineering. Research on process modeling has highlighted that specifying intentions can expressly mitigate many problems encountered in process modeling as lack of flexibility or adaptation. Process mining approaches mine processes in terms of tasks and branching. To identify and formalize intentions from event logs, this work presents a novel approach of process mining, called Map Miner Method (MMM). This method automates the construction of intentional process models from event logs. First, MMM estimates users' strategies (i.e., the different ways to fulfill the intentions) in terms of their activities. These estimated strategies are then used to infer users' intentions at different levels of abstraction using two tailored algorithms. MMM constructs intentional process models with respect to the Map metamodel formalism. MMM is applied on a real-world dataset, i.e. event logs of developers of Eclipse UDC (Usage Data Collector). The resulting Map process model provides a precious understanding of the processes followed by the developers, and also provide feedback on the effectiveness and demonstrate scalability of MMM.

The Theoretical Analysis on Cognitive Process of the Safety Signs Based on Neuro-IE

2013 ◽  
Vol 319 ◽  
pp. 286-291 ◽  
Author(s):  
Xiao Hong Zhou ◽  
Ming Liang Chen ◽  
Xiao Yi Wang ◽  
Liang Wang
Keyword(s):  
Theoretical Analysis ◽  
Cognitive Process ◽  
Management Strategy ◽  
Process Model ◽  
Safety Management ◽  
Process Models ◽  
Communication Model ◽  
Information Communication ◽  
Model Combining ◽  
Theoretical Results

It’s a sort of safety management strategy of setting safety signs in production site in order to make people be alert and evade danger by transmitting dangerous signal. Based on the reviews of traditional cognitive process models such as C-HIP model and information communication model, combining the theoretical results of emerging Neuro-IE, this paper provides a cognitive process model (3N-Model) of safety sign on the basis of Neuro-IE, explains the model and gives a number of management inspirations by combining with the model.

All in the mind: concept analysis in indexing

1995 ◽  
Vol 19 (4) ◽  
pp. 243-247
Author(s):  
John Farrow
Keyword(s):  
Information Processing ◽  
Cognitive Process ◽  
Text Comprehension ◽  
Process Model ◽  
Concept Analysis ◽  
Human Information Processing ◽  
Index Terms ◽  
The Mind

The indexing process consists of the comprehension of the document to be indexed, followed by the production of a set of index terms. Differences between academic indexing and back-of-book indexing are discussed. Text comprehension is a branch of human information processing, and it is argued that the model of text comprehension and production developed by van Dijk and Kintsch can form the basis for a cognitive process model of indexing. Strategies for testing such a model are suggested.

A systematic literature review of process modeling guidelines and their empirical support

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Diego Toralles Avila ◽  
Rubens Ideron dos Santos ◽  
Jan Mendling ◽  
Lucineia Heloisa Thom
Keyword(s):  
Literature Review ◽  
Empirical Evidence ◽  
Systematic Literature Review ◽  
Process Modeling ◽  
Process Model ◽  
Current Knowledge ◽  
Empirical Support ◽  
Process Models ◽  
Model Quality ◽  
Content Type

PurposeProcess modeling guidelines are a valuable instrument for increasing the quality of process models. Since finding and selecting suitable guidelines are challenging, this paper aims to find and select suitable guidelines because they are scattered across the many studies of the literature. Also, not all of them are supported by empirical studies.Design/methodology/approachThe authors conducted a systematic literature review to collect and analyze process modeling guidelines present in the literature and the empirical evidence that supports them.FindingsThe authors investigated a total of 793 articles and identified a total of 45 process modeling guidelines in five different categories. For each of these guidelines, the authors report empirical evidence together with corresponding measures, such as comprehension accuracy and error probability.Originality/valueCompared to the prior literature reviews on process model quality and process modeling guidelines, this article extends current knowledge by analyzing the empirical evidence and variables associated with each guideline. This analysis provides guidance for practitioners and scholars on which guidelines to use while modeling a process and perform further research on.

Cartesian Fingerprints in Beckett's Imagination Dead Imagine

2012 ◽  
Vol 21 (2) ◽  
pp. 223-243
Author(s):  
Irit Degani-Raz
Keyword(s):  
The Self ◽  
Levels Of Abstraction ◽  
The Media ◽  
The Mind ◽  
Limiting Case

The idea that Beckett investigates in his works the limits of the media he uses has been widely discussed. In this article I examine the fiction Imagination Dead Imagine as a limiting case in Beckett's exploration of limits at large and the limits of the media he uses in particular. Imagination Dead Imagine is shown to be the self-reflexive act of an artist who imaginatively explores the limits of that ultimate medium – the artist's imagination itself. My central aim is to show that various types of structural homologies (at several levels of abstraction) can be discerned between this poetic exploration of the limits of imagination and Cartesian thought. The homologies indicated here transcend what might be termed as ‘Cartesian typical topics’ (such as the mind-body dualism, the cogito, rationalism versus empiricism, etc.). The most important homologies that are indicated here are those existing between the role of imagination in Descartes' thought - an issue that until only a few decades ago was quite neglected, even by Cartesian scholars - and Beckett's perception of imagination. I suggest the use of these homologies as a tool for tracing possible sources of inspiration for Beckett's Imagination Dead Imagine.

Politikvermittlung an der Schnittstelle von Unterhaltung und Information : Political communication at the interface of entertainment and information

SPIEL ◽  
2019 ◽  
Vol 4 (1) ◽  
pp. 121-145
Author(s):  
Larissa Leonhard ◽  
Anne Bartsch ◽  
Frank M. Schneider
Keyword(s):  
Information Processing ◽  
Political Participation ◽  
Knowledge Acquisition ◽  
Political Communication ◽  
Information Seeking ◽  
Process Model ◽  
Political Information ◽  
Process Models ◽  
Dual Process ◽  
Dual Process Model

This article presents an extended dual-process model of entertainment effects on political information processing and engagement. We suggest that entertainment consumption can either be driven by hedonic, escapist motivations that are associated with a superficial mode of information processing, or by eudaimonic, truth-seeking motivations that prompt more elaborate forms of information processing. This framework offers substantial extensions to existing dual-process models of entertainment by conceptualizing the effects of entertainment on active and reflective forms of information seeking, knowledge acquisition and political participation.

What is a Cognitive Process Model? A Disambiguation

2015 ◽  
Author(s):  
Jana B Jarecki ◽  
Jolene H Tan ◽  
Mirjam A Jenny
Keyword(s):  
Cognitive Process ◽  
Process Model
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