Advances in the model of hierarchical complexity (MHC).

Commons, Michael Lamport; Chen, Shuling Julie

doi:10.1037/h0101080

Cited by 5 publications

(6 citation statements)

References 42 publications

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“…The experiment design provoked emotional arousal due to the experiment's unusual situation and rhythmically changing the red/purple colors of the mobile screens. Many studies on emotional arousal in learning show increased participants' cortisol levels during experiments [16]. Unintelligible tasks also contributed to emotional excitement in subjects and the participation of strangers (experimenters) in these performances [16].…”

Section: Methodsmentioning

confidence: 99%

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Empirical Evidence of Shared Intentionality: Towards Bioengineering Systems Development

Danilov¹,

Mihailova²

2023

OBM Neurobiol

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This expanded conference paper reports the results of a psychophysiological research study on shared intentionality conducted in 24 online experiments with 405 subjects (208 recipients and 197 contributor-confederates). In this research, we created a bioengineering system for assessing shared intentionality in human groups by modeling mother-neonate dyad properties in subjects during solving unintelligible multiple-choice puzzles. In this model, only the mother (contributor-confederate) knows the correct stimulus and shares this knowledge with the neonate (participant-recipient). The bioengineering system induced interpersonal dynamics in the subjects by stimulating their interactional synchrony, emotional contagion and neuronal coherence. The system collected data by confronting recipients' performance in "primed" and "unprimed" conditions of confederates. These informed contributors knew correct responses only in the "primed" condition and confidently responded on "primed" items. Specifically, in 13 online experiments in mother-child dyads, evidence showed a recipients' performance increase of 48-394%, P-value < 0.001 (62 recipients and 54 confederates) in the “primed” condition of confederates; and in 7 experiments in primary group adults, it showed a performance increase of 143-300%, P-value < 0.002. In experiments in the secondary group, evidence showed a recipients' performance increase only with the UL3 items (a translation of an unfamiliar language, 20 recipients from 41 subjects in experiment No.12). In 3 experiments in 207 secondary group subjects, non-semantic tasks–SL3 (synthetic language) and US3 (two-color unintelligible symbols)–did not stimulate the effect. We also analyzed data confronting the outcome of recipients' performance in the "primed" condition and random value (possible recipients' responses by chance). Comparing the outcomes of these two data-collecting methods and the sample size of the experiments allow for discussing the research method's validity and reliability. The article also shows four factors' domains that contribute to shared intentionality magnitude.

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Section: Methodsmentioning

confidence: 99%

“…In the reflexes substage of the sensorimotor stage of development (Piaget) or Stage 3 of the Model of Hierarchical Complexity (MHC) [16], newborns do not maintain bilateral communication. According to Tomasello [17], protoconversation in young children appears due to the motive force of shared intentionality.…”

Section: Introductionmentioning

confidence: 99%

Empirical Evidence of Shared Intentionality: Towards Bioengineering Systems Development

Danilov¹,

Mihailova²

2023

OBM Neurobiol

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“…The mathematical work on the MHC shows that the nonempirical aspects of the model are well defined (Commons & Pekker, 2004;. Application of the process of finding correspondence between the MHC and human problem-solving and perspective-taking has been demonstrated several times (Commons, 2007;Commons & Chen, 2014). However, issues do occur, particularly when interpreting work performed for other purposes.…”

Section: Limitationsmentioning

confidence: 99%

Comparisons of Animal “Smart” Using The First Four Stages of the Model of Hierarchical Complexity

Shah¹,

Commons²,

Harrigan³

2020

IJCP

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The Model of Hierarchical Complexity is a behavioral model of development and evolution of the complexity of behavior. It is based on task analysis. Tasks are ordered in terms of their hierarchical complexity, which is an ordinal scale that measures difficulty. The hierarchical difficulty of tasks is categorized as the order of hierarchical complexity. Successful performance on a task is called the behavioral stage. This model can be applied to non-human animals, and humans. Using data from some of the simplest animals and also somewhat more complex ones, this analysis describes the four lowest behavioral stages and illustrate them using the behaviors of a range of simple organisms. For example, Stage 1 tasks, and performance on them, are addressed with automatic unconditioned responses. Behavior at this Stage includes sensing, tropisms, habituation and, other automatic behaviors. Single cell organisms operate at this Stage. Stage 2 tasks include these earlier behaviors, but also include respondent conditioning but not operant conditioning. Animals such as some simple invertebrates have shown respondent conditioning, but not operant conditioning. Stage 3 tasks coordinate three instances of these earlier tasks to make possible operant conditioning. These stage 3 performances are similar to those of some invertebrates and also insects. Stage 4 tasks organisms coordinate 2 or more circular sensory-motor task actions into a superordinate “concept”. This explanation of the early stages of the Model of Hierarchical Complexity may help future research in animal behavior, and comparative psychology.

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“…One theory with this wide-ranging use is the MHC, which started out as a stage theory of human development, but is today mathematically grounded as a formal theory applicable to all occasions in which information is organized (Commons, 2008; Commons & Chen, 2014; Commons et al, 2007; Commons & Pekker, 2008; Commons & Ross, 2008). The theory accounts for increases in behavioral complexity with applications as broad as animal behaviors and societal change.…”

Section: Societal and Organizational Developmentmentioning

confidence: 99%

Adult development as a lens: Applications of adult development theories in research.

Kjellström

Stålne

2017

Behavioral Development Bulletin

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Adult development (AD) theories have a great potential for use in providing perspective and create new understanding of societal problems and challenges. The use of AD as a lens provides insights into people’s qualitative, different ways of thinking, talking, and acting. The theories are used by researchers and practitioners with various backgrounds in several different scientific domains. The aim of this article is to provide an overview of different approaches on how theories of AD are applied in research, with a focus on the potential of using it and how to eliminate the possibility of reproducing existing knowledge. The results consist of six approaches of how AD is currently presented and used in research: introductory work, creating and refining stages, making comparisons with established models, tracing the dynamics of promoting development, analysis of mismatches in adult life, and societal and organizational development. There are several promising avenues for future research by using a combination of these approaches as a way forward to promote the development of this scientific field.

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Advances in the model of hierarchical complexity (MHC).

Cited by 5 publications

References 42 publications

Empirical Evidence of Shared Intentionality: Towards Bioengineering Systems Development

Empirical Evidence of Shared Intentionality: Towards Bioengineering Systems Development

Comparisons of Animal “Smart” Using The First Four Stages of the Model of Hierarchical Complexity

Adult development as a lens: Applications of adult development theories in research.

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