scholarly journals Beyond methodological individualism and the myth of the entrepreneur: The systemic thinking model of entrepreneurship

2018 ◽  
Author(s):  
Gaëlle Vallée-Tourangeau ◽  
Frédéric Vallée-Tourangeau

In this working paper, we review the limitations of the classical information processing model to account for entrepreneurial cognition. We then introduce a different theoretical framework, SysTM, or systemic thinking model, which places agents-environments interactions at the core of cognitive activities. We discuss how this alternative may inform future work on entrepreneurial cognition.

2019 ◽  
Author(s):  
Gaëlle Vallée-Tourangeau ◽  
Frédéric Vallée-Tourangeau

We argue that a radical departure from the classical information-processing model is untenable because higher-level cognition is fundamentally representation-based. However, we also argue that classical accounts of thinking put too great an emphasis on the role of internal representations and mental processing. Manuscript accepted for publication in Cybernetics & Human Knowing available at https://www.ingentaconnect.com/content/imp/chk/2014/00000021/F0020001/art00009. This article may not exactly replicate the final version published in the journal. It is not the copy of the record.


2019 ◽  
Author(s):  
Gaëlle Vallée-Tourangeau ◽  
Frédéric Vallée-Tourangeau

In this chapter, we propose a systemic model of thinking (SysTM) to account for higher cognitive operations such as how an agent makes inferences, solves problems and makes decisions. The SysTM model conceives thinking as a cognitive process that evolves in time and space and results in a new cognitive event (i.e., a new solution to a problem). This presupposes that such cognitive events are emerging from cognitive interactivity, which we define as the meshed network of reciprocal causations between an agent’s mental processing and the transformative actions she applies to her immediate environment to achieve a cognitive result. To explain how cognitive interactivity results in cognitive events, SysTM builds upon the classical information processing model but breaks from the view that cognitive events result from a linear information processing path originating in the perception of a problem stimulus that is mentally processed to produce a cognitive event. Instead, SysTM holds that information processing in thinking evolves through a succession of deductive and inductive processing loops. Both loops give rise to transformative actions on the physical information layout, resulting in new perceptual inputs which inform the next processing loop. Such actions result from the enaction of mental action plans in deductive loops and from unplanned direct perception of action possibilities or affordances in inductive loops. To account for direct perception, we introduce the concept of an affordance pool to refer to a short term memory storage of action possibilities in working memory. We conclude by illustrating how SysTM can be used to derive new predictions and guide the study of cognitive interactivity in thinking.


2020 ◽  
Vol 63 (2) ◽  
pp. 46-62
Author(s):  
Suren T. Zolyan

We discuss the role of linguistic metaphors as a cognitive frame for the understanding of genetic information processing. The essential similarity between language and genetic information processing has been recognized since the very beginning, and many prominent scholars have noted the possibility of considering genes and genomes as texts or languages. Most of the core terms in molecular biology are based on linguistic metaphors. The processing of genetic information is understood as some operations on text – writing, reading and editing and their specification (encoding/decoding, proofreading, transcription, translation, reading frame). The concept of gene reading can be traced from the archaic idea of the equation of Life and Nature with the Book. Thus, the genetics itself can be metaphorically represented as some operations on text (deciphering, understanding, code-breaking, transcribing, editing, etc.), which are performed by scientists. At the same time linguistic metaphors portrayed gene entities also as having the ability of reading. In the case of such “bio-reading” some essential features similar to the processes of human reading can be revealed: this is an ability to identify the biochemical sequences based on their function in an abstract system and distinguish between type and its contextual tokens of the same type. Metaphors seem to be an effective instrument for representation, as they make possible a two-dimensional description: biochemical by its experimental empirical results and textual based on the cognitive models of comprehension. In addition to their heuristic value, linguistic metaphors are based on the essential characteristics of genetic information derived from its dual nature: biochemical by its substance, textual (or quasi-textual) by its formal organization. It can be concluded that linguistic metaphors denoting biochemical objects and processes seem to be a method of description and explanation of these heterogeneous properties.


2021 ◽  
pp. 009365022199531
Author(s):  
Tess van der Zanden ◽  
Maria B. J. Mos ◽  
Alexander P. Schouten ◽  
Emiel J. Krahmer

This study investigates how online dating profiles, consisting of both pictures and texts, are visually processed, and how both components affect impression formation. The attractiveness of the profile picture was varied systematically, and texts either included language errors or not. By collecting eye tracking and perception data, we investigated whether picture attractiveness determines attention to the profile text and if the text plays a secondary role. Eye tracking results revealed that pictures are more likely to attract initial attention and that more attractive pictures receive more attention. Texts received attention regardless of the picture’s attractiveness. Moreover, perception data showed that both the pictorial and textual cues affect impression formation, but that they affect different dimensions of perceived attraction differently. Based on our results, a new multimodal information processing model is proposed, which suggests that pictures and texts are processed independently and lead to separate assessments of cue attractiveness before impression formation.


2021 ◽  
Vol 11 (11) ◽  
pp. 5057
Author(s):  
Wan-Yu Yu ◽  
Xiao-Qiang Huang ◽  
Hung-Yi Luo ◽  
Von-Wun Soo ◽  
Yung-Lung Lee

The autonomous vehicle technology has recently been developed rapidly in a wide variety of applications. However, coordinating a team of autonomous vehicles to complete missions in an unknown and changing environment has been a challenging and complicated task. We modify the consensus-based auction algorithm (CBAA) so that it can dynamically reallocate tasks among autonomous vehicles that can flexibly find a path to reach multiple dynamic targets while avoiding unexpected obstacles and staying close as a group as possible simultaneously. We propose the core algorithms and simulate with many scenarios empirically to illustrate how the proposed framework works. Specifically, we show that how autonomous vehicles could reallocate the tasks among each other in finding dynamically changing paths while certain targets may appear and disappear during the movement mission. We also discuss some challenging problems as a future work.


Author(s):  
Caroline M. Leaf ◽  
Brenda Louw ◽  
Isabel Uys

The current article suggests that alternatives to the current traditional learning methods are essentials if learning institutions are to provide people with effective life skills that enable them to be autonomous learners. This suggestion is based on a body of literature on alternative learning which stresses the need for fundamental change and hence, a paradigm shift in perception of learning in order to cope with the world-wide information explosion. The alternative non-traditional approach proposed in geodesic learning which stresses learning how to learn and self-directed inquiry as essential life skills which enable systems as well as the people in the systems to bring about their own transformation in response to changing situations and requirements. The current article discusses an alternative service delivery model, the geodesic information processing model, which falls within the realms of the geodesic philosophy. The implications of this alternative approach for the speech-language therapist are discussed.


Author(s):  
Swaroop S. Vattam ◽  
Michael Helms ◽  
Ashok K. Goel

Biologically inspired engineering design is an approach to design that espouses the adaptation of functions and mechanisms in biological sciences to solve engineering design problems. We have conducted an in situ study of designers engaged in biologically inspired design. Based on this study we develop here a macrocognitive information-processing model of biologically inspired design. We also compare and contrast the model with other information-processing models of analogical design such as TRIZ, case-based design, and design patterns.


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