Artificial Ethology and Computational Neuroethology: A Scientific Discipline and Its Subset by Sharpening and Extending the Definition of Artificial Intelligence

@article{Achacoso1990ArtificialEA,
  title={Artificial Ethology and Computational Neuroethology: A Scientific Discipline and Its Subset by Sharpening and Extending the Definition of Artificial Intelligence},
  author={Theodore B. Achacoso and William S. Yamamoto},
  journal={Perspectives in Biology and Medicine},
  year={1990},
  volume={33},
  pages={379 - 390}
}
Almost no arguments arise if "intelligence" is defined in a contextual or "situation-specific" [1] manner. Consider that Bill, a child who has just learned to recognize the English alphabet visually, is presented with three playing blocks labeled C, B, and A laid left to right in a row on a table. Bill takes block B and places it immediately to the left of block C, and then takes block A and places it immediately to the left of block B, so that the row now reads A, B, C sequentially from left… 
3 Citations
Simple Behavioral Analysis (SimBA) – an open source toolkit for computer classification of complex social behaviors in experimental animals
TLDR
An open-source package with graphical interface and workflow (SimBA) that uses pose-estimation to create supervised machine learning predictive classifiers of rodent social behavior, with millisecond resolution and accuracies that can out-perform human observers is presented.
Scaling up the nervous system of Caenorhabditis elegans: is one ape equal to 33 million worms?
Artificial Intelligence and Robotics Technology in the Hospitality Industry: Current Applications and Future Trends
This study explores the application of artificial intelligence (AI) and robotics technology in the hospitality industry. After reviewing and evaluating research and articles, currently, robotics

References

SHOWING 1-10 OF 27 REFERENCES
Why neural computing? A personal view
TLDR
Neural Computinq Architectures is not about the details of mimicking the neurons of the brain and their interconnections, but more about the nature of the broad class of machines which behave in brain-like ways and, through this, adding to both the armoury of knowledge in computing and to the ability to apply such knowledge through the design of novel machinery.
Neural computing architectures: the design of brain-like machines
TLDR
These 18 contributions provide a timely and informative overview and synopsis of both pioneering and recent European connectionist research, bringing important complementary perspectives to currently published work in PDP.
The Structure of Mind.
The focus of any attempt to create an artificial brain and mind should reside in the dynamic model of the network of information. The study of biological network s has progressed enormously in recent
Knowledge Representation: Features of Knowledge
TLDR
An account of some of the issues that arise in studying knowledge, belief, and conjecture in Artificial Intelligence and knowledge Representation is provided, intended primarily for the computer scientist with little exposure to AI and Knowledge Representation, and who is interested in understanding some the issues.
Brain Theory: Proceedings of the First Trieste Meeting on Brain Theory, October 1–4, 1984
TLDR
A report of the first meeting on Brain Theory and ideas on the Function of Neural Assemblies and on the Interpretation of Neural Synchrony are presented.
Associative Processing in Brain Theory and Artificial Intelligence
TLDR
The goal of brain theory is to uncover the mechanisms behind biological information processing and intelligence and to actually create some kind of intelligent device which is the aim artificial intelligence (AI) is clearly a different goal.
Growing Points in Ethology
TLDR
The author concludes that ethology in a changing world N.G. Tinbergen's conclusion - on asking the right questions Index is correct.
The nature of human intelligence.
There is a lot of books, user manual, or guidebook that related to The Nature Of Human Intelligence PDF, such as : classical mechanics upadhyaya bond more third papers in non verbal reasoning 9 10
Computing Machinery and Intelligence
  • A. Turing
  • Philosophy
    The Philosophy of Artificial Intelligence
  • 1990
TLDR
If the meaning of the words “machine” and “think” are to be found by examining how they are commonly used it is difficult to escape the conclusion that the meaning and the answer to the question, “Can machines think?” is to be sought in a statistical survey such as a Gallup poll.
Models and Structures in Image Processing
TLDR
AI systems which solve vision and speech problems differ from purely symbolic problem solving systems since they must explicitly deal with errors, noise, and uncertainty in the input data.
...
1
2
3
...