scholarly journals Turing’s Symbolic Model of Mind and Machine in an Evolutionary Context

Author(s):  
Judy Kay King
1988 ◽  
Vol 33 (7) ◽  
pp. 637-637
Author(s):  
No authorship indicated
Keyword(s):  

2019 ◽  
Author(s):  
vernon thornton

A description of of the mind and its relationship to the brain, set in an evolutionary context. Introduction of a correct version of 'language-of-thought' called 'thinkish'.


2020 ◽  
Vol 46 (2) ◽  
pp. 102-118
Author(s):  
Damien D. Nouvel

While Dubai's urban scene is dominated by planned and pre-designed developments, grassroots initiatives have always been present and have helped shape the trajectory of the city's evolution. In one case, an industrial area, Al Quoz, has seen the clustering of art businesses over a relatively short period turning it into a cultural destination. Accounting for most of such clustering, Alserkal Avenue became Dubai's art hot-spot that changed the cultural map of the city. This article describes the rise of Alserkal Avenue, not only as the result of the entrepreneurial action of the proprietors but also as a product of a complex melange of economic, cultural, and urban evolutionary processes that intertwine with the rise of the city itself.


Axioms ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 80
Author(s):  
Sergey Kryzhevich ◽  
Viktor Avrutin ◽  
Nikita Begun ◽  
Dmitrii Rachinskii ◽  
Khosro Tajbakhsh

We studied topological and metric properties of the so-called interval translation maps (ITMs). For these maps, we introduced the maximal invariant measure and demonstrated that an ITM, endowed with such a measure, is metrically conjugated to an interval exchange map (IEM). This allowed us to extend some properties of IEMs (e.g., an estimate of the number of ergodic measures and the minimality of the symbolic model) to ITMs. Further, we proved a version of the closing lemma and studied how the invariant measures depend on the parameters of the system. These results were illustrated by a simple example or a risk management model where interval translation maps appear naturally.


2021 ◽  
pp. 1-18
Author(s):  
Le Jiang ◽  
Hongbin Liu

The use of probabilistic linguistic term sets (PLTSs) means the process of computing with words. The existing methods computing with PLTSs mainly use symbolic model. To provide a semantic model for computing with PLTSs, we propose to represent a PLTS by using an interval type-2 fuzzy set (IT2FS). The key step is to compute the footprint of uncertainty of the IT2FS. To this aim, the upper membership function is computed by aggregating the membership functions of the linguistic terms contained in the PLTS, and the lower membership function is obtained by moving the upper membership function downward with the step being total entropy of the PLTS. The comparison rules, some operations, and an aggregation operator for PLTSs are introduced. Based on the proposed method of computing with PLTSs, a multi-criteria group decision making model is introduced. The proposed decision making model is then applied in green supplier selection problem to show its feasibility.


2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Jemma L Geoghegan ◽  
Francesca Di Giallonardo ◽  
Michelle Wille ◽  
Ayda Susana Ortiz-Baez ◽  
Vincenzo A Costa ◽  
...  

Abstract Revealing the determinants of virome composition is central to placing disease emergence in a broader evolutionary context. Fish are the most species-rich group of vertebrates and so provide an ideal model system to study the factors that shape virome compositions and their evolution. We characterized the viromes of nineteen wild-caught species of marine fish using total RNA sequencing (meta-transcriptomics) combined with analyses of sequence and protein structural homology to identify divergent viruses that often evade characterization. From this, we identified twenty-five new vertebrate-associated viruses and a further twenty-two viruses likely associated with fish diet or their microbiomes. The vertebrate-associated viruses identified here included the first fish virus in the Matonaviridae (single-strand, negative-sense RNA virus). Other viruses fell within the Astroviridae, Picornaviridae, Arenaviridae, Reoviridae, Hepadnaviridae, Paramyxoviridae, Rhabdoviridae, Hantaviridae, Filoviridae, and Flaviviridae, and were sometimes phylogenetically distinct from known fish viruses. We also show how key metrics of virome composition—viral richness, abundance, and diversity—can be analysed along with host ecological and biological factors as a means to understand virus ecology. Accordingly, these data suggest that that the vertebrate-associated viromes of the fish sampled here are predominantly shaped by the phylogenetic history (i.e. taxonomic order) of their hosts, along with several biological factors including water temperature, habitat depth, community diversity and swimming behaviour. No such correlations were found for viruses associated with porifera, molluscs, arthropods, fungi, and algae, that are unlikely to replicate in fish hosts. Overall, these data indicate that fish harbour particularly large and complex viromes and the vast majority of fish viromes are undescribed.


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