| Allan Newell. The Knowledge Level. Artificial Intelligence, 18:87--127, 1982. |
....technologies and methodologies for guidance and support in building the software systems of the future. We are developing a comprehensive software engineering methodology, named Tropos, for multi agent systems. In a nutshell, the two key features of Tropos are: i) the use of knowledge level [9] concepts, such as agent, goal, plan and other through all phases of software development, and (ii) a pivotal role assigned to requirements analysis when the environment and the system to be is analyzed. The phases covered by the proposed methodology are as follows. Early Requirements: during ....
A. Newell. The Knowledge Level. Artificial Intelligence, 18:87--127, 1982.
....is equivalent to the homo economicus. When we see an agent as not omnipotent with respect to its task environment, but rather as an agent with a body of knowledge of its own, with respect to which it takes the most appropriate action to obtain its goal, we have an agent at the knowledge level [85], i.e. a rational agent (in the teleological action model sense of the word) The agent can alter the environment, but it can also interact with the environment to acquire knowledge. When the agent s attention is limited, and therefore cannot process all available knowledge, we have a bounded ....
....and goal autonomous systems, they are equivalent to these systems. Type IV is comparable to Dennett s moral personhood. A need for models on this level is signaled by several researchers (cf. e.g. 53] 68] 33] 128] 70] 64] who have noted the limitations of Newell s knowledge level [85]. The knowledge level can be used to model systems up to goal autonomous systems, but for normative evaluations, another level may be needed. This level received di#erent names, such as organizational level [53] cooperation knowledge level [68] and social level [70] However, since all these ....
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A. Newell. The Knowledge Level. Artificial Intelligence, 18:87-- 127, 1982.
.... Psychology Topics: Cognitive architecture, Decision making, Intelligent agents, Learning, Machine learning, Problem solving, Situated cognition Methods: Computer simulation, Neural networks, Robotics Introduction Traditional AI aims to explain intelligent behavior at the knowledge level [42]. The knowl edge level describes intelligent behavior in terms of knowledge, goals and actions. Knowl edge and goals are organized following the principle of rationality: if the system wants to attain goal G and knows that to do act A will lead to attaining G, then it will do A. This law is a ....
....functional properties of the actually physically instantiated intelligent system in terms of knowledge, goals, and actions. On one hand the knowledge level can be seen as expressing an observer stance towards an intelligent system where knowledge and goals are attributed to an artificial system [42, 9, 13]. On the other the distinction between knowledge, goals, and actions does define key properties of the physical symbol system that has to satisfy a knowledge level specification. The prototypical example of a physical symbol system that aims at satisfying knowl edge level constraints is the SOAR ....
A. Newell. The knowledge level. Artificial Intelligence, 18:87-127, 1982. 34
....basis of its blueprint (that includes information about its configuration) This ability makes it possible to identify specific needs for change, defining the necessary input required to automatically reconfigure an agent. This approach is much akin to the knowledge level approach to system design [16] in which the knowledge level is distinguished from the symbol level. The agent factory presented in this paper relies on a component based agent architecture described in Section 2. An example of the use of these component based structures by (automated) adaptation of a simple web page analysis ....
Newell, A.: The Knowledge Level. Artificial Intelligence 18:1 (1982) 87-127.
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Allan Newell. The Knowledge Level. Artificial Intelligence, 18:87--127, 1982.
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Newell, A.: The knowledge level. Artificial Intelligence 18(1) (1982) 87--127
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Newell A. The knowledge level. Artificial Intelligence, 18(1), 1982.
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A. Newell. The Knowledge Level. Artificial Intelligence, 18(1): 87-127, 1982.
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Newell A. The knowledge level. Artificial Intelligence, 18(1), 1982.
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A. Newell. The Knowledge Level. Artificial Intelligence, 18:87--127, 1982.
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A. Newell. The knowledge level. Artificial Intelligence, 18:87--127, 1982.
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C. Mellish: The description identification algorithm. Artificial Intelligence, 52:151--167, 1991.
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A. Newell. The knowledge level. Artificial Intelligence, 18(1):87--127, 1982.
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A. Newell. The Knowledge Level. Artificial Intelligence, 18(1):87--127, 1982.
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A Newell. The Knowledge Level. Artificial Intelligence, 18(1):87-- 127, 1982.
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Newell, A. The Knowledge level. Artificial Intelligence. (1982); 18.
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A. Newell. The knowledge level. Artificial Intelligence, 18(1):87--127, 1982.
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Newell, A. The knowledge level, Artificial Intelligence, 18 (1982) 87--127.
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A. Newell. The knowledge level. Artificial Intelligence, 18(1):87--127, 1982.
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A. Newell: The Knowledge Level. Artificial Intelligence, 18(1):87-127, 1982.
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Newell A. The knowledge level. Artificial Intelligence. Vol. 18, p.87-127.
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Newell A.: The Knowledge Level. Artificial Intelligence 18 (1982) 87-127
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A. Newell. The knowledge level. Artificial Intelligence, 18:87--127, 1982.
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A. Newell. The Knowledge Level. Artificial Intelligence, 18(1): 87-127, 1982.
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Newel, A. The knowledge level. Artificial Intelligence, 18, 1982, 87-127
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