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Intellectual Property and the "Information Society" Metaphor |
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Today the talk about the so-called "information society" is ubiquitous. By many it is considered as the successor of the industrial society and said to represent a new form of societal and economical organization. This claim is based on the argument, that the information society uses a new kind of resource, which fundamentally differentiates from that of its industrial counterpart. Whereas industrial societies focus on physical objects, the information society's raw material is said to be knowledge and information. Yet the conception of the capitalist system, which underlies industrial societies, also continues to exist in an information-based environment. Although there have been changes in the forms of manufacture, the relations of production remain organized on the same basis. The principle of property.
In the context of a capitalist system based on industrial production the term property predominantly relates to material goods. Still even as in an information society the raw materials, resources and products change, the concept of property persists. It merely is extended and does no longer solely consider physical objects as property, but also attempts to put information into a set of property relations. This new kind of knowledge-based property is widely referred to as " intellectual property". Although intellectual property in some ways represents a novel form of property, it has quickly been integrated in the traditional property framework. Whether material or immaterial products, within the capitalist system they are both treated the same - as property.
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Expert system
Expert systems are advanced computer programs that mimic the knowledge and reasoning capabilities of an expert in a particular discipline. Their creators strive to clone the expertise of one or several human specialists to develop a tool that can be used by the layman to solve difficult or ambiguous problems. Expert systems differ from conventional computer programs as they combine facts with rules that state relations between the facts to achieve a crude form of reasoning analogous to artificial intelligence. The three main elements of expert systems are: (1) an interface which allows interaction between the system and the user, (2) a database (also called the knowledge base) which consists of axioms and rules, and (3) the inference engine, a computer program that executes the inference-making process. The disadvantage of rule-based expert systems is that they cannot handle unanticipated events, as every condition that may be encountered must be described by a rule. They also remain limited to narrow problem domains such as troubleshooting malfunctioning equipment or medical image interpretation, but still have the advantage of being much lower in costs compared with paying an expert or a team of specialists.
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