If your assignment is to write an essay on cognitive science in artificial intelligence and you can hardly deal with this difficult topic, use our sample as a solid ground for your own writing. Use the terms and notions to make your project more A-deserving.
Over the past years, scientists from around the world have started paying much attention to the psychological field and the development of cognition. The latter one is a Latin word that stands for ‘cognoscere’ – to come to know. Dictionaries define it as the process of knowing that also includes awareness and judgment.
Along with studying, the various processes of the Mind, Cognitive Science also deal with the so-called Artificial Intelligence — the notion and topic that has become rather burning over the last decade. The components of this Science are really numerous. Today they are psychology as well as philosophy, linguistics, anthropology and even neuroscience. It all means that the Science studies the capability of a human being to develop intellectually, solve various problems, improve memory and use it, understand the notions, etc. Years before, all the above-mentioned functions were taken as they are or for granted, and now they are studied as something unique that forms the notion of intelligence.
As a result, more and more scientists started researching a quite new field – the Artificial Intelligence. If we believe that intelligence is a part of a human cognition, is there a slight chance for a cognitive science in artificial intelligence? Can the same intelligence be transferred and copied or recreated in a computer, robot or any other artificial mind?
As the question has become rather burning, it touched upon many other related spheres including cognitive neuropsychology, making neurologists study the function of the brain behind the cognitive functions of a human being.
Like in the case with most burning and poorly-studied fields, there are many debates concerning the way how the mind should be better viewed: a collection of higher-level structures (plans, symbols, rules, and schemes) or as an array of individually feeble elements? The latter variant uses the connectionism while the former one touches upon the symbolism. But in reality, we are to view the issue in the way to simulate the brain on a computer without the need of copying the neurons which are the basis of the human mind.
The connection between the artificial mind and that of a human has been already discussed. From the point of view of the cognitive psychology, AI is said to provide the necessary means for creating as well as testing examples of PCs of the cognitive process of a human being. This approach is proved to be rather useful when it comes to the theory as well as modification development.
Modeling in Cognitive Science as well as Artificial Intelligence has already helped to affect the way human cognition is studied and viewed. Today Artificial Intelligence has allowed reproducing some of the intelligent behaviors in defined ways only. However, it is believed to be a rather good starting point for the following construction of numerous intelligent systems.
- Barsalou, L.W. (1992). Cognitive Psychology: An Overview for Cognitive Scientists. 325.
- Carbonell, J. G. (1980). Towards a Process Model of Human Personality Traits. 15, 49-74.
- Collins, A. M., Smith, E.E. (1988). Readings in Cognitive Science: A Perspective from Psychology and Artificial Intelligence. 85.
- Dyer, M. (1987). Emotions and Their Computations: Three Computer Models. Cognition and Emotion, 1(3), 323-347.
- Elliot, C. (1994). Research Problems in the Use of a Shallow Artificial Intelligence Model of Personality and Emotion. In Proceedings of the 12th National Conference on Artificial Intelligence, 9-15.
- Grossberg, S., Schmajuk, N.A. (1987). Neural Dynamics of Attentionally Modulated Pavlovian Conditioning: Conditioned Refinforcement, Inhibition, and Opponent Learning. Psychobiology, 15(3), 195-240.
- Hoffman, R.E. (1987). Computer Simulations of Neural Information Processing and the Schizophrenia-Mania Dichotomy. Archives of General Psychiatry, 44:178-188.
- Langley, P. (2012). The Cognitive Systems Paradigm. Advances in Cognitive Systems. 1, 3-13.
- Reisberg, D. (1997) Cognition: Exploring the Science of the Mind. 36.