In general, for any cognitive architecture to be intelligent, self-reliant it should perform goal operations, like formulation, delegation, selection, transformation and achievement, rather than just getting the instructions about goals from external agents. The agent must be independent and be ready to handle anonymous situations. Let’s now take a look at some of the cognitive architectures developed, which perform some goal related operations in one way or the other. 1.1. Cognitive Systems and goal operations The thesis work is implemented in the cognitive architecture MIDCA, it is not the very first cognitive architecture to come into existence but there were many in the past which tried to imitate the human cognition, some of such architectures are Soar (Liard et al., 1985), Act-R, CLARION, EPIC etc., Each architecture is different from the other and have been around from a long time. 1.1.1. Soar cognitive system Soar architecture performs the decision making process …show more content…
The evaluation of the ACT-R is done by comparison of the accuracy of results, time taken to perform the operation and from the neurological data of FMRI. One of the implementation of the ACT-R which has been very successful is “the cognitive tutor for mathematics”. One of the work relevant to the thesis here is an integrated model of cognitive control in task switching (Eril M. Altmann et al., 2008) which discusses about how humans control their everyday tasks and switch among those tasks. The author develops a cognition control model for these at an abstract level, and then link six basic behavioral effects to the model. And have finally compared the results of task switching with task repeating and have depicted them in graphical format. The agent has shown increase in its performance through the task
... cognitive acts, more generally, any mental acts, are not isolated particulars, coming or going in the stream of consciousness without any interconnections. As they are ESSENTIALLY related to one another, they display a teleological coherence and corresponding connections ... And on these connections, which present an intelligible unity a great deal depends.
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For years philosophers have enquired into the nature of the mind, and specifically the mysteries of intelligence and consciousness. (O’Brien 2017) One of these mysteries is how a material object, the brain, can produce thoughts and rational reasoning. The Computational Theory of Mind (CTM) was devised in response to this problem, and suggests that the brain is quite literally a computer, and that thinking is essentially computation. (BOOK) This idea was first theorised by philosopher Hilary Putnam, but was later developed by Jerry Fodor, and continues to be further investigated today as cognitive science, modern computers, and artificial intelligence continue to advance. [REF] Computer processing machines ‘think’ by recognising information
R. J. & Ben-Zeev, T. (2001) Complex Cognition: The psychology of human thought. New York: Oxford.
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Therefore, the human organism although made of multiple “swarms,” is different from other organisms or programs because of the capacity to make conclusions and make illogical and “unnatural” decisions not based on the rudimentary interworking of the brain cells. Therefore although multi agent distributed parallel processing programs, can produce emergent behavior that could possibly be equated to our illogical decisions and creativity, human behavior, although somewhat emergent, stems from a deeper consciousness not generated by the interactions of brain
The traditional notion that seeks to compare human minds, with all its intricacies and biochemical functions, to that of artificially programmed digital computers, is self-defeating and it should be discredited in dialogs regarding the theory of artificial intelligence. This traditional notion is akin to comparing, in crude terms, cars and aeroplanes or ice cream and cream cheese. Human mental states are caused by various behaviours of elements in the brain, and these behaviours in are adjudged by the biochemical composition of our brains, which are responsible for our thoughts and functions. When we discuss mental states of systems it is important to distinguish between human brains and that of any natural or artificial organisms which is said to have central processing systems (i.e. brains of chimpanzees, microchips etc.). Although various similarities may exist between those systems in terms of functions and behaviourism, the intrinsic intentionality within those systems differ extensively. Although it may not be possible to prove that whether or not mental states exist at all in systems other than our own, in this paper I will strive to present arguments that a machine that computes and responds to inputs does indeed have a state of mind, but one that does not necessarily result in a form of mentality. This paper will discuss how the states and intentionality of digital computers are different from the states of human brains and yet they are indeed states of a mind resulting from various functions in their central processing systems.
In order to see how artificial intelligence plays a role on today’s society, I believe it is important to dispel any misconceptions about what artificial intelligence is. Artificial intelligence has been defined many different ways, but the commonality between all of them is that artificial intelligence theory and development of computer systems that are able to perform tasks that would normally require a human intelligence such as decision making, visual recognition, or speech recognition. However, human intelligence is a very ambiguous term. I believe there are three main attributes an artificial intelligence system has that makes it representative of human intelligence (Source 1). The first is problem solving, the ability to look ahead several steps in the decision making process and being able to choose the best solution (Source 1). The second is the representation of knowledge (Source 1). While knowledge is usually gained through experience or education, intelligent agents could very well possibly have a different form of knowledge. Access to the internet, the la...
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Throughout the case study, Dan Lee, a Chinese American, was struggling with concentrating on his college studies and reoccurring personal conflicts amongst people. Dan is an undergraduate student preparing to apply for medical school, which he cannot apply unless he passes all necessary courses. However, he has been having some difficulty with staying on top of all assignments given. Also, he seeks help from the university-counseling center with his feelings of anxiety, tension, sadness, and anger. Many of these feelings arise when his fellow peers, family, and friends does not see that he is always “right” and they are always “wrong”. Although, in some cases he feels disrespected by the way his mother and sister does not abide
Throughout the ages, humans have had an inherent interest in studying the complex area of human behaviour, even before psychology was established as a science. Because the study of behaviour is so broad and multifaceted, its scientific study poses particular challenges. Therefore, it can be beneficial to approach the scientific study of human behaviour from the perspective of cognitive psychology. This is the study of cognition, the mental processes that underlie human behaviour (Ling & Cattling, 2012).
Khaneman (1973) devised model of attention as he believed a limited amount of attention is allocated to tasks by a central processor. Many factors determine how much attentional capacity can be allocated and how much is needed to carry out a task, as the central processor has variable but limited capacity which is dependent on motivation and arousal. The central processor engages a variety of tasks such as motor, visual, auditory, memory and so on. The central processor evaluates the amount of concentration necessary to meet task demands, which forms the basis of allocation of capacity.
Cognitive Psychology is focused on learning based on how people perceive, remember, think, speak and problem-solve. The cognitive perspective differs in...