Technology and Its Value from the Perspective of Process Theory

Author(s):  
Deyu Yuan
Keyword(s):  
2020 ◽  
Vol 43 ◽  
Author(s):  
Martina G. Vilas ◽  
Lucia Melloni

Abstract To become a unifying theory of brain function, predictive processing (PP) must accommodate its rich representational diversity. Gilead et al. claim such diversity requires a multi-process theory, and thus is out of reach for PP, which postulates a universal canonical computation. We contend this argument and instead propose that PP fails to account for the experiential level of representations.


1994 ◽  
Author(s):  
Thomas C. Toppino ◽  
Lance C. Bloom

Author(s):  
Chienkuo Mi ◽  
Shane Ryan

In this paper, we defend the claim that reflective knowledge is necessary for extended knowledge. We begin by examining a recent account of extended knowledge provided by Palermos and Pritchard (2013). We note a weakness with that account and a challenge facing theorists of extended knowledge. The challenge that we identify is to articulate the extended cognition condition necessary for extended knowledge in such a way as to avoid counterexample from the revamped Careless Math Student and Truetemp cases. We consider but reject Pritchard’s (2012b) epistemological disjunctivism as providing a model for doing so. Instead, we set out an account of reflection informed by Confucianism and dual-process theory. We make the case that reflective knowledge offers a way of overcoming the challenge identified. We show why such knowledge is necessary for extended knowledge, while building on Sosa’s (2012) account of meta-competence.


Mathematics ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. 246
Author(s):  
Manuel Molina-Fernández ◽  
Manuel Mota-Medina

This research work deals with mathematical modeling in complex biological systems in which several types of individuals coexist in various populations. Migratory phenomena among the populations are allowed. We propose a class of mathematical models to describe the demographic dynamics of these type of complex systems. The probability model is defined through a sequence of random matrices in which rows and columns represent the various populations and the several types of individuals, respectively. We prove that this stochastic sequence can be studied under the general setting provided by the multitype branching process theory. Probabilistic properties and limiting results are then established. As application, we present an illustrative example about the population dynamics of biological systems formed by long-lived raptor colonies.


2019 ◽  
pp. 0143831X1989123
Author(s):  
Emma Hughes ◽  
Tony Dobbins ◽  
Doris Merkl-Davies

This article empirically applies Knut Laaser’s integrated conceptual framework, combining Sayer’s moral economy (ME) theory with labour process theory (LPT), to examine how two rival Irish unions engaged with an uneven moral economy and consciously sought to build collective worker solidarity during a dispute over competitive tendering and marketization. Using qualitative data from a case study of BusCo in Ireland’s public transport sector, the article enriches sociological understanding of trade union solidarity, and how it is engendered, contested and experienced.


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