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Norms can be considered from different perspectives in Artificial Intelligence to create computers and computer software that are capable of intelligent behaviour. In Artificial Intelligence and Law, legal norms are considered in computational tools to automatically reason upon them. In Multi-Agent Systems (MAS), a branch of Artificial Intelligence (AI), a norm is a guide for the common conduct of agents, thereby easing their decision-making, coordination and organization. Since most problems concerning regulation of the interaction of autonomous agents are linked to issues traditionally addressed by legal studies, and since law is the most pervasive and developed normative system, efforts to account for norms in Artificial Intelligence and Law and in normative multi-agent systems often overlap. ==Artificial Intelligence and Law== With the arrival of computer applications into the legal domain, and especially artificial intelligence applied to it, logic has been used as the major tool to formalize legal reasoning and has been developed in many directions, ranging from deontic logics to formal systems of argumentation. The knowledge base of legal reasoning systems usually includes legal norms (such as governmental regulations and contracts), and as a consequence, legal rules are the focus of knowledge representation and reasoning approaches to automatize and solve complex legal tasks. Legal norms are typically represented into a logic-based formalism, such a deontic logic. Artificial Intelligence and Law applications using an explicit representation of norms range from checking the compliance of business processes and the automatic execution of smart contracts to legal expert systems advising people on legal matters. 抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』 ■ウィキペディアで「Norm (artificial intelligence)」の詳細全文を読む スポンサード リンク
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