scholarly journals A FEATURE OF THE CONCEPTION INHERITANCE IN THE ELEATIC SCHOOL OF PHILOSOPHY

2020 ◽  
Vol 1 (RL. 2020. vol.1. no. 2) ◽  
pp. 28-51
Author(s):  
Igor Berestov
Keyword(s):  
Alternative Interpretation ◽  
Complex Object ◽  
Arbitrary Type ◽  
Extended Object

The purpose of the paper is to identify common theses supposedly shared by Parmenides and Zeno of Elea. In order to achieve this goal, we show that an alternative interpretation of the aporia from 29 B 1 DK is possible, in which we don’t deal with an infinite division of an extended being, but we deal with a regression of relations of an arbitrary type. These relations are connecting an arbitrary type of constituents of a complex object. In this case, the aporia proves the impossibility of a complex object of any type, not just the impossibility of an extended object. Finally, we show that interpreted in this way Zeno’s reasoning from 29 B 1 DK, and appropriately interpreted Parmenides’ proofs of the unity of being in 28 B 8 DK can be treated as based on a holistic assumption. This enables us to assert that Zeno was the successor of Parmenides, not only in the sense that he was indirectly proving Parmenides’ thesis of the unity of being, but also in the sense that he was using a statement that Parmenides could imply.

Communication-free autonomous cooperative circumnavigation of unpredictable dynamic objects

Robotica ◽  
2021 ◽  
pp. 1-24
Author(s):  
A. S. Matveev ◽  
V. V. Magerkin
Keyword(s):  
Global Convergence ◽  
Decentralized Control ◽  
Control Strategy ◽  
Necessary Conditions ◽  
Common Law ◽  
Complex Object ◽  
Moving Targets ◽  
Convergence Results ◽  
Nearest Point ◽  
Extended Object

Abstract Each of several speed-limited planar robots is driven by the acceleration, limited in magnitude. There is an unpredictable dynamic complex object, for example, a group of moving targets or an extended moving and deforming body. The robots should reach and then repeatedly trace a certain object-dependent moving and deforming curve that encircles the object and also achieve an effective self-deployment over it. This may be, for example, the locus of points at a desired mean distance or distance from a group of targets or a single extended object, respectively. Every robot has access to the nearest point of the curve and its own velocity and “sees” the objects within a finite sensing range. The robots have no communication facilities, cannot differentiate the peers, and are to be driven by a common law. Necessary conditions for the solvability of the mission are established. Under their slight and partly unavoidable enhancement, a new decentralized control strategy is proposed and shown to solve the mission, while excluding inter-robot collisions, and for the case of a steady curve, to evenly distribute the robots over the curve and to ensure a prespecified speed of their motion over it. These are justified via rigorous global convergence results and confirmed via computer simulations.

scholarly journals Can a Buddha Image be Untrue? The Grahi Buddha and the Way to Make Buddha Images in Southeast Asia

1996 ◽  
Vol 16 ◽  
pp. 193-218
Author(s):  
Klemens Karlsson
Keyword(s):  
Southeast Asia ◽  
Religious Tradition ◽  
Alternative Interpretation ◽  
Complex Object ◽  
Buddhist Tradition ◽  
Historical Times ◽  
Religious Meaning ◽  
Unusual Shape ◽  
The Way

What exactly is a Buddha image? Why does a Buddha image take the particular shape it has, rather than some other form? Is it realistic to assume that someone has consciously composed an image like the Grahi Buddha? Has it, instead, been made by mistake, by mere chance or ignorance? There have been some attempts to explain the Grahi Buddha before. One aim with this paper is to elucidate these interpretations and see how valid they are, and if necessary work out an alternative interpretation of this unusual image. To do this and answer the questions above, we must examine the religious tradition behind Buddha images, both within historical times and in Southeast Asia today. A second aim is to be acquainted with this, not so well-known Buddhist tradition. The first thing we have to do is to ask the statue itself. Unfortunately, the inscription on the image does not mention the unusual shape of the image. It can however give us some information about the context in which the statue was made. A Buddha image is a complex object withholding different aspects, and taken in isolation it can be understood in many different ways, but its religious meaning becomes clear only when it is considered as a part of the religious tradition and the society at large.

An alternative interpretation of framing effect in decision making

1991 ◽  
Author(s):  
Jerwen Jou ◽  
James Shanteau ◽  
Richard Jackson Harris
Keyword(s):  
Decision Making ◽  
Framing Effect ◽  
Alternative Interpretation

MARKOV MATHEMATICAL MODEL OF DYNAMIC ADAPTIVE TESTING OF AN ACTIVE AGENT

2018 ◽  
pp. 29-35
Author(s):  
N. V. Brovka ◽  
P. P. Dyachuk ◽  
M. V. Noskov ◽  
I. P. Peregudova
Keyword(s):  
Mathematical Model ◽  
Finite State Machine ◽  
Active Agent ◽  
Adaptive Testing ◽  
State Machine ◽  
Learning Activities ◽  
Independent Learning ◽  
Complex Object ◽  
Total Reward ◽  
Finite State

The problem and the goal.The urgency of the problem of mathematical description of dynamic adaptive testing is due to the need to diagnose the cognitive abilities of students for independent learning activities. The goal of the article is to develop a Markov mathematical model of the interaction of an active agent (AA) with the Liquidator state machine, canceling incorrect actions, which will allow mathematically describe dynamic adaptive testing with an estimated feedback.The research methodologyconsists of an analysis of the results of research by domestic and foreign scientists on dynamic adaptive testing in education, namely: an activity approach that implements AA developmental problem-solving training; organizational and technological approach to managing the actions of AA in terms of evaluative feedback; Markow’s theory of cement and reinforcement learning.Results.On the basis of the theory of Markov processes, a Markov mathematical model of the interaction of an active agent with a finite state machine, canceling incorrect actions, was developed. This allows you to develop a model for diagnosing the procedural characteristics of students ‘learning activities, including: building axiograms of total reward for students’ actions; probability distribution of states of the solution of the problem of identifying elements of the structure of a complex object calculate the number of AA actions required to achieve the target state depending on the number of elements that need to be identified; construct a scatter plot of active agents by target states in space (R, k), where R is the total reward AA, k is the number of actions performed.Conclusion.Markov’s mathematical model of the interaction of an active agent with a finite state machine, canceling wrong actions allows you to design dynamic adaptive tests and diagnostics of changes in the procedural characteristics of educational activities. The results and conclusions allow to formulate the principles of dynamic adaptive testing based on the estimated feedback.

Mathematical Simulation of the Bearing Process in the Near Zone of a Complex Extended Object

2004 ◽  
Vol 61 (2) ◽  
pp. 141-149
Author(s):  
N. V. Barkhudaryan ◽  
S. E. Vazhinsky ◽  
V. A. Vasilets ◽  
A. Z. Sazonov ◽  
O. I. Sukharevsky
Keyword(s):  
Mathematical Simulation ◽  
Extended Object ◽  
Near Zone

DECOMPOSITION METHOD FOR DETERMINING THE HIGH REFLECTED SECTIONS OF A COMPLEX OBJECT SURFACE

2018 ◽  
Vol 77 (11) ◽  
pp. 945-956 ◽  
Author(s):  
N. N. Kolchigin ◽  
M. N. Legenkiy ◽  
A. A. Maslovskiy ◽  
А. Demchenko ◽  
S. Vinnichenko ◽  
...  
Keyword(s):  
Decomposition Method ◽  
Complex Object ◽  
Object Surface

Hierarchical composition in complex object drawing

2019 ◽  
Author(s):  
Michiru Makuuchi
Keyword(s):  
Hierarchical Structure ◽  
Homo Sapiens ◽  
Hierarchical Structures ◽  
Target Object ◽  
Point Of View ◽  
Complex Object ◽  
Complex Objects ◽  
Cognitive Domains ◽  
Adult Participants ◽  
Symbolic Cognition

Symbolic behaviours such as language, music, drawing, dance, etc. are unique to humans and are found universally in every culture on earth1. These behaviours operate in different cognitive domains, but they are commonly characterised as linear sequences of symbols2,3. One of the most prominent features of language is hierarchical structure4, which is also found in music5,6 and mathematics7. Current research attempts to address whether hierarchical structure exists in drawing. When we draw complex objects, such as a face, we draw part by part in a hierarchical manner guided by visual semantic knowledge8. More specifically, we predicted how hierarchical structure emerges in drawing as follows. Although the drawing order of the constituent parts composing the target object is different amongst individuals, some parts will be drawn in succession consistently, thereby forming chunks. These chunks of parts would then be further integrated with other chunks into superordinate chunks, while showing differential affinity amongst chunks. The integration of chunks to an even higher chunk level repeats until finally reaching the full object. We analysed the order of drawing strokes of twenty-two complex objects by twenty-five young healthy adult participants with a cluster analysis9 and demonstrated reasonable hierarchical structures. The results suggest that drawing involves a linear production of symbols with a hierarchical structure. From an evolutionary point of view, we argue that ancient engravings and paintings manifest Homo sapiens’ capability for hierarchical symbolic cognition.

Spatial suppression due to statistical regularities is driven by distractor suppression not by target activation

2018 ◽  
Author(s):  
Michel Failing ◽  
Benchi Wang ◽  
Jan Theeuwes
Keyword(s):  
High Probability ◽  
Target Location ◽  
Target Selection ◽  
Visual Space ◽  
Alternative Interpretation ◽  
Distractor Location ◽  
Target Presentation ◽  
Statistical Regularities ◽  
Low Probability ◽  
Presentation Experiment

Where and what we attend to is not only determined by what we are currently looking for but also by what we have encountered in the past. Recent studies suggest that biasing the probability by which distractors appear at locations in visual space may lead to attentional suppression of high probability distractor locations which effectively reduces capture by a distractor but also impairs target selection at this location. However, in many of these studies introducing a high probability distractor location was tantamount to increasing the probability of the target appearing in any of the other locations (i.e. the low probability distractor locations). Here, we investigate an alternative interpretation of previous findings according to which attentional selection at high probability distractor locations is not suppressed. Instead, selection at low probability distractor locations is facilitated. In two visual search tasks, we found no evidence for this hypothesis: neither when there was only a bias in target presentation but no bias in distractor presentation (Experiment 1), nor when there was only a bias in distractor presentation but no bias in target presentation (Experiment 2). We conclude that recurrent presentation of a distractor in a specific location leads to attentional suppression of that location through a mechanism that is unaffected by any regularities regarding the target location.

Sign in / Sign up

Export Citation Format

Share Document