I-function and AI :: Biology Essays Research Papers

I-function and AI The idea of creative and intelligent nonhumans is at once exciting and extremely useful. Wouldn't it be great to have a computer assistant that could anticipate your needs, or come up with novel solutions on its own? Scientists have often compared the function of the nervous system to computer programming, but does this comparison translate to an actual causal relationship? The way physics describes communication between computer parts in a binary system remarkably resembles the communications between neurons in the body. When considering the brain, science only looks at the physical components. If this physicality is sufficient to explain behavior then we can recreate this mechanism artificially in a computer. Thus, on the surface creating a computer that also shares the human behavior of intelligence and functions of the mind seems possible. To explore the possibilities of artificial intelligence, AI, this paper will consist of four sections. First, we will examine how computer programs and AI systems work. Then, the possibility of comparing these to the mind will be explored. A criterion for intelligence and consciousness will be derived with which to evaluate AI. Finally, the standards will be applied to current AI programs and tests. In conclusion, future for AI will be explored. Computers and Programming Computer programming breaks down to a simple code of on and off circuits, 1's and 0's-- binary code. AI addresses the cognitive skills of solving problems, learning and understanding language (4). Researchers use weak AI as a tool for merely modeling mind systems, whereas strong AI is a mind itself and presents its own set of cognitive explanations (6). AI systems of artificial neural fields compose response rules for themselves based on notions of the present situation. Expert systems, another branch of AI, consist of a knowledge base and a reasoning engine. Systems perform specific tasks by applying the built in knowledge to the task with an interference engine, a reasoning structure (4). Processing relies on rule-based system of if-then statements to form a line of reasoning. The programming of chess programs such as Deep Blue uses this type of limited intellectual mechanisms (5). Other AI programs try to mimic human understanding in language. Weizenbaum's ELIZA program models human communication by engaging in conversation, through asking questions based on responses of a user (6). Another program by Schank simulates human understanding of a story and answers implicit questions about it given a representation of the information presented in the story. I-function and AI :: Biology Essays Research Papers I-function and AI The idea of creative and intelligent nonhumans is at once exciting and extremely useful. Wouldn't it be great to have a computer assistant that could anticipate your needs, or come up with novel solutions on its own? Scientists have often compared the function of the nervous system to computer programming, but does this comparison translate to an actual causal relationship? The way physics describes communication between computer parts in a binary system remarkably resembles the communications between neurons in the body. When considering the brain, science only looks at the physical components. If this physicality is sufficient to explain behavior then we can recreate this mechanism artificially in a computer. Thus, on the surface creating a computer that also shares the human behavior of intelligence and functions of the mind seems possible. To explore the possibilities of artificial intelligence, AI, this paper will consist of four sections. First, we will examine how computer programs and AI systems work. Then, the possibility of comparing these to the mind will be explored. A criterion for intelligence and consciousness will be derived with which to evaluate AI. Finally, the standards will be applied to current AI programs and tests. In conclusion, future for AI will be explored. Computers and Programming Computer programming breaks down to a simple code of on and off circuits, 1's and 0's-- binary code. AI addresses the cognitive skills of solving problems, learning and understanding language (4). Researchers use weak AI as a tool for merely modeling mind systems, whereas strong AI is a mind itself and presents its own set of cognitive explanations (6). AI systems of artificial neural fields compose response rules for themselves based on notions of the present situation. Expert systems, another branch of AI, consist of a knowledge base and a reasoning engine. Systems perform specific tasks by applying the built in knowledge to the task with an interference engine, a reasoning structure (4). Processing relies on rule-based system of if-then statements to form a line of reasoning. The programming of chess programs such as Deep Blue uses this type of limited intellectual mechanisms (5). Other AI programs try to mimic human understanding in language. Weizenbaum's ELIZA program models human communication by engaging in conversation, through asking questions based on responses of a user (6). Another program by Schank simulates human understanding of a story and answers implicit questions about it given a representation of the information presented in the story.