scholarly journals Aristotle on Intelligent Perception

2021 ◽  
Author(s):  
Marc Gasser-wingate

Aristotle presents perception as a potentially intelligent form of cognition—a form of cognition that allows us to respond in discerning, knowing ways to a range of different situations, and develop certain theoretical insights relevant to some inquiry. But it’s not clear how we should understand the interaction between our rational and perceptual powers in these cases, or how widespread we should take their interaction to be. In this paper I argue against interpretations on which human perception would be an inherently rational power. I then develop an alternative view of intelligent perception that seeks to do justice to the role Aristotle assigns nonrational uses of perception in his account of our learning, and to his emphasis on the continuity between animal and human forms of cognition. On the view I develop, our rational powers allow us to develop a reflective understanding of the knowledge we acquire by purely perceptual means—a reflective understanding that can then affect what we recognize perceptually, and thereby yield forms of action and insight unavailable to other animals.

1997 ◽  
Vol 4 ◽  
pp. 87
Author(s):  
Jörg Alejandro TELLKAMP

Propositional attitudes and sensible knowledge in Thomas Aquinas. The traditional approach to Thomas Aquinas' theory of knowledge suggests that complex, intentional knowledge is only available to the intellect. Against this, there is strong evidence for an alternative view, which holds that the perceptual grasp of the sensible world renders a complex, however, different kind of knowledge. An analysis of Aquinas' theory of the sensibles reveals a stance which shows a striking resemblance to modem Folk Psychology, i.e., a strong commitment to describe animal and human perception and behavior in terms of daily life experience of singular objects.


2017 ◽  
Vol 131 (1) ◽  
pp. 19-29 ◽  
Author(s):  
Marianne T. E. Heberlein ◽  
Dennis C. Turner ◽  
Marta B. Manser

2012 ◽  
Author(s):  
R. A. Grier ◽  
H. Thiruvengada ◽  
S. R. Ellis ◽  
P. Havig ◽  
K. S. Hale ◽  
...  

Author(s):  
Rajesh Kumar Gupta ◽  
L. N. Padhy ◽  
Sanjay Kumar Padhi

Traffic congestion on road networks is one of the most significant problems that is faced in almost all urban areas. Driving under traffic congestion compels frequent idling, acceleration, and braking, which increase energy consumption and wear and tear on vehicles. By efficiently maneuvering vehicles, traffic flow can be improved. An Adaptive Cruise Control (ACC) system in a car automatically detects its leading vehicle and adjusts the headway by using both the throttle and the brake. Conventional ACC systems are not suitable in congested traffic conditions due to their response delay.  For this purpose, development of smart technologies that contribute to improved traffic flow, throughput and safety is needed. In today’s traffic, to achieve the safe inter-vehicle distance, improve safety, avoid congestion and the limited human perception of traffic conditions and human reaction characteristics constrains should be analyzed. In addition, erroneous human driving conditions may generate shockwaves in addition which causes traffic flow instabilities. In this paper to achieve inter-vehicle distance and improved throughput, we consider Cooperative Adaptive Cruise Control (CACC) system. CACC is then implemented in Smart Driving System. For better Performance, wireless communication is used to exchange Information of individual vehicle. By introducing vehicle to vehicle (V2V) communication and vehicle to roadside infrastructure (V2R) communications, the vehicle gets information not only from its previous and following vehicle but also from the vehicles in front of the previous Vehicle and following vehicle. This enables a vehicle to follow its predecessor at a closer distance under tighter control.


Author(s):  
Ashish Dwivedi ◽  
Nirupma Tiwari

Image enhancement (IE) is very important in the field where visual appearance of an image is the main. Image enhancement is the process of improving the image in such a way that the resulting or output image is more suitable than the original image for specific task. With the help of image enhancement process the quality of image can be improved to get good quality images so that they can be clear for human perception or for the further analysis done by machines.Image enhancement method enhances the quality, visual appearance, improves clarity of images, removes blurring and noise, increases contrast and reveals details. The aim of this paper is to study and determine limitations of the existing IE techniques. This paper will provide an overview of different IE techniques commonly used. We Applied DWT on original RGB image then we applied FHE (Fuzzy Histogram Equalization) after DWT we have done the wavelet shrinkage on Three bands (LH, HL, HH). After that we fuse the shrinkage image and FHE image together and we get the enhance image.


Author(s):  
Nina Bosak

The demonolexis in Yu. Andrukhovych’s long short story “Recreatsii” (“Recreations”) has been analyzed in the article. In the course of the research there have been outlined the following lexical-semantic groups of demonomens: toponymic and onomastic names, modified lexemes, names of the rituals, genuine Ukrainian demonomens, obscene words and expressions, demonomens of Biblical origin, names from the world mythology and general demonolexis. The special lexical-semantic group has been formed by non personificated demonomens, which serve to convey the peculiarities of the contemporary Ukrainian writers’ mentality, their habits through speech. Such nomens help to reveal the protagonist’s soul, show the positive and negative sides of his personal ego, demonstrate the duality of the human perception of the world, indicate the causes of phobias, emotions, sensations. Key words: demonolexis, demonomen, lexical-semantic group, non personificated demonomen.


2019 ◽  
Vol 62 (6) ◽  
pp. 126-137
Author(s):  
Tatyana G. Korneeva

The article discusses the problem of the formation of philosophical prose in the Persian language. The first section presents a brief excursion into the history of philosophical prose in Persian and the stages of formation of modern Persian as a language of science and philosophy. In the Arab-Muslim philosophical tradition, representatives of various schools and trends contributed to the development of philosophical terminology in Farsi. The author dwells on the works of such philosophers as Ibn Sīnā, Nāṣir Khusraw, Naṣīr al-Dīn al-Ṭūsī, Aḥmad al-Ghazālī, ʼAbū Ḥāmid al-Ghazālī and gives an overview of their works written in Persian. The second section poses the question whether the Persian language proved able to compete with the Arabic language in the field of science. The author examines the style of philosophical prose in Farsi, considering the causes of creation of Persian-language philosophical texts and defining their target audience. The article presents viewpoints of modern orientalist researchers as well as the views of medieval philosophers who wrote in Persian. We find that most philosophical texts in Persian were written for a public who had little or no knowledge of the Arabic language, yet wanted to get acquainted with current philosophical and religious doctrines, albeit in an abbreviated format. The conclusion summarizes and presents two positions regarding the necessity of writing philosophical prose in Persian. According to one point of view, Persian-language philosophical works helped people who did not speak Arabic to get acquainted with the concepts and views of contemporary philosophy. According to an alternative view, there was no special need to compose philosophical texts in Persian, because the corpus of Arabic philosophical terminology had already been formed, and these Arabic terms were widely and successfully used, while the new Persian philosophical vocabulary was difficult to understand.


2017 ◽  
Author(s):  
Darren Rhodes

Time is a fundamental dimension of human perception, cognition and action, as the perception and cognition of temporal information is essential for everyday activities and survival. Innumerable studies have investigated the perception of time over the last 100 years, but the neural and computational bases for the processing of time remains unknown. First, we present a brief history of research and the methods used in time perception and then discuss the psychophysical approach to time, extant models of time perception, and advancing inconsistencies between each account that this review aims to bridge the gap between. Recent work has advocated a Bayesian approach to time perception. This framework has been applied to both duration and perceived timing, where prior expectations about when a stimulus might occur in the future (prior distribution) are combined with current sensory evidence (likelihood function) in order to generate the perception of temporal properties (posterior distribution). In general, these models predict that the brain uses temporal expectations to bias perception in a way that stimuli are ‘regularized’ i.e. stimuli look more like what has been seen before. Evidence for this framework has been found using human psychophysical testing (experimental methods to quantify behaviour in the perceptual system). Finally, an outlook for how these models can advance future research in temporal perception is discussed.


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