The Human versus the Automatic Navigator

1960 ◽  
Vol 13 (1) ◽  
pp. 105-108
Author(s):  
A. M. A. Majendie
Keyword(s):  
Human Beings ◽  
Space Rocket ◽  
Human Effort

The title of this contribution is, in itself, misleading. All our navigation is planned and devised by human beings, whatever may be the degree of automaticity inherent in any particular system. The navigation of a space rocket is just as human as that of a Polynesian canoe, despite the absence of a working navigator going along ‘for the ride’. In considering the degree of automaticity desirable for a given navigational task we are really trying to decide how best to deploy the available human effort.

Pelagianism

2018 ◽  
Author(s):  
Christopher Kirwan
Keyword(s):  
Free Will ◽  
Original Sin ◽  
Human Beings ◽  
Human Effort

Pelagius, a Christian layman, was active around ad 400. The thesis chiefly associated with his name is that (i) human beings have it in their own power to avoid sin and achieve righteousness. Critics objected that this derogates from human dependence on the grace of God. Pelagius did not deny that the power to avoid sin is itself a gift of God, an enabling grace; but he was understood to deny the need for cooperative grace, divine aid in using the power rightly, or at least to assert that (ii) such aid is a reward for human effort, and so not an act of grace. Later thinkers who held that God’s aid, though not a reward, goes only to those who do make an effort, were accused of believing that (iii) there is no need of prevenient grace in causing the effort in the first place. So Pelagianism is a tendency to magnify human powers: its defenders saw it as a (frightening) challenge to humans, its detractors as an insult to God. It was hard without Pelagianism to find a place for free will, or with it for original sin.

scholarly journals Stochastic Artificial Intelligence: Review Article

2020 ◽  
Author(s):  
T.D. Raheni ◽  
P. Thirumoorthi
Keyword(s):  
Artificial Intelligence ◽  
Real Time ◽  
Back Propagation ◽  
Review Article ◽  
Human Beings ◽  
Swarm Optimization ◽  
Intelligent Machines ◽  
Neuron Networks ◽  
Current Scenario ◽  
Human Effort

Artificial intelligence (AI) is a region of computer techniques that deals with the design of intelligent machines that respond like humans. It has the skill to operate as a machine and simulate various human intelligent algorithms according to the user’s choice. It has the ability to solve problems, act like humans, and perceive information. In the current scenario, intelligent techniques minimize human effort especially in industrial fields. Human beings create machines through these intelligent techniques and perform various processes in different fields. Artificial intelligence deals with real-time insights where decisions are made by connecting the data to various resources. To solve real-time problems, powerful machine learning-based techniques such as artificial intelligence, neural networks, fuzzy logic, genetic algorithms, and particle swarm optimization have been used in recent years. This chapter explains artificial neural network-based adaptive linear neuron networks, back-propagation networks, and radial basis networks.

scholarly journals Smart Turmeric Harvester

2019 ◽  
Vol 8 (4) ◽  
pp. 3593-3596
Keyword(s):  
General Practice ◽  
Labor Force ◽  
Human Beings ◽  
Specific Time ◽  
Hand Tools ◽  
Harvesting Technique ◽  
Human Effort ◽  
Harvesting Process ◽  
Digging Efficiency

Turmeric is a very important spice in India, which produces nearly the world’s crop and uses 80% of it. Harvesting is the process of gathering ripened crops from the field. The general practice of harvesting is to dig out the rhizome manually with the help of hand tools. This type of harvesting causes damage to rhizomes. It is a difficult task for the farmers to get the required labor force during the harvesting season. Delay in the harvesting process results loss in the yield and also the quality of rhizomes is affected adversely. So, it is necessitate the need to develop a suitable mechanical harvester for turmeric, which helps farmer to harvest turmeric with minimum losses within a specific time by reducing the human effort as compared to manual effort. This machine consists of digging blade, wheel, motor and blade driving unit. The machine starts moving as soon as the device is powered up. This harvesting technique leads to the development of mini tractor in order to reduce the efforts of human beings and also it increases the digging efficiency.

scholarly journals Seed Sowing Robot

2021 ◽  
Vol 9 (9) ◽  
pp. 781-786
Author(s):  
Dr. D. A. Godse
Keyword(s):  
Agricultural Land ◽  
Agricultural Trade ◽  
Project Work ◽  
Human Beings ◽  
Wheel Drive ◽  
Important Field ◽  
Human Effort ◽  
Seed Sowing ◽  
Seed Fall ◽  
Four Wheel Drive

Abstract: Agriculture is the most important field for human beings. It is the backbone of our country's economic system. Equipment that needs less human effort and time with less price of implementation is way needed for fulfilment within the agricultural trade. Project work is focused on the seed sowing process and the design of a four-wheel-drive robot that does the work of seed sowing in plowed agricultural land avoiding the human effort by tracing the path and sowing seeds and tried to solve the problems related to agriculture. Seed sowing robot consists of battery-powered wheels, a DC motor inbuilt in these wheels, an Arduino Uno is useful for controlling the robotic activities. The Robot can detect the obstacle very easily with the help of an ultrasonic sensor. In every complete rotation of the rotating wheel, there’s a seed fall from the seed drum and performs seed sowingoperation. Keywords: Agriculture, Farmer, Seed, Robot

Rate of Absorption of Water from Stomach and Small Bowel of Human Beings

1954 ◽  
Vol 27 (5) ◽  
pp. 565-577 ◽  
Author(s):  
John F. Scholer ◽  
Charles F. Code
Keyword(s):  
Small Bowel ◽  
Human Beings ◽  
Rate Of Absorption

A Study of the Action of Prostigmine on the Bowel of Human Beings

1949 ◽  
Vol 12 (6) ◽  
pp. 970-977 ◽  
Author(s):  
John M. McMahon ◽  
Charles F. Code ◽  
Willtam G. Saver ◽  
J. Arnold Bargen
Keyword(s):  
Human Beings

Constructing and Deconstructing Concepts

2016 ◽  
Vol 63 (5) ◽  
pp. 249-262 ◽  
Author(s):  
Charles A. Doan ◽  
Ronaldo Vigo
Keyword(s):  
Information Theory ◽  
Model Performance ◽  
Unsupervised Classification ◽  
Family Resemblance ◽  
Category Membership ◽  
Formal Models ◽  
Human Beings ◽  
One Dimensional ◽  
Relational Patterns ◽  
Optimal Classification

Abstract. Several empirical investigations have explored whether observers prefer to sort sets of multidimensional stimuli into groups by employing one-dimensional or family-resemblance strategies. Although one-dimensional sorting strategies have been the prevalent finding for these unsupervised classification paradigms, several researchers have provided evidence that the choice of strategy may depend on the particular demands of the task. To account for this disparity, we propose that observers extract relational patterns from stimulus sets that facilitate the development of optimal classification strategies for relegating category membership. We conducted a novel constrained categorization experiment to empirically test this hypothesis by instructing participants to either add or remove objects from presented categorical stimuli. We employed generalized representational information theory (GRIT; Vigo, 2011b , 2013a , 2014 ) and its associated formal models to predict and explain how human beings chose to modify these categorical stimuli. Additionally, we compared model performance to predictions made by a leading prototypicality measure in the literature.

Behavioral Testing of Mice Concerning Anxiety and Depression

2015 ◽  
Vol 223 (3) ◽  
pp. 151-156 ◽  
Author(s):  
Nina Schweinfurth ◽  
Undine E. Lang
Keyword(s):  
Environmental Influences ◽  
Sickness Behavior ◽  
Laboratory Research ◽  
Anxiety And Depression ◽  
Housing Conditions ◽  
Human Beings ◽  
Behavioral Testing ◽  
New Developments ◽  
Animal Trials ◽  
Resilience Factors

Abstract. In the development of new psychiatric drugs and the exploration of their efficacy, behavioral testing in mice has always shown to be an inevitable procedure. By studying the behavior of mice, diverse pathophysiological processes leading to depression, anxiety, and sickness behavior have been revealed. Moreover, laboratory research in animals increased at least the knowledge about the involvement of a multitude of genes in anxiety and depression. However, multiple new possibilities to study human behavior have been developed recently and improved and enable a direct acquisition of human epigenetic, imaging, and neurotransmission data on psychiatric pathologies. In human beings, the high influence of environmental and resilience factors gained scientific importance during the last years as the search for key genes in the development of affective and anxiety disorders has not been successful. However, environmental influences in human beings themselves might be better understood and controllable than in mice, where environmental influences might be as complex and subtle. The increasing possibilities in clinical research and the knowledge about the complexity of environmental influences and interferences in animal trials, which had been underestimated yet, question more and more to what extent findings from laboratory animal research translate to human conditions. However, new developments in behavioral testing of mice involve the animals’ welfare and show that housing conditions of laboratory mice can be markedly improved without affecting the standardization of results.

Sign in / Sign up

Export Citation Format

Share Document