Legal Event Reasoning for Software Agents
نویسندگان
چکیده
In a previous paper the authors extended a top-level reference ontology to support the representation and reasoning of legal ownership concepts in multi agent communication. In this paper we further enhance this ontology. However, for a software agent to reason about such concepts, it is also necessary to have a computational model of the ontological system. One way to model such system is to treat the communication as process and actions. This paper presents a partial implementation of an agent that supports such temporal events (process and actions) for reasoning about legal concepts.
منابع مشابه
Ontological Issues in Agent Ownership 1 ( Reasoning About Agent Ownership )
Ownership is a common concept underlying many social activities – buying, selling, renting and giving etc. For a software agent to operate in an open environment like Agentcities, it may be necessary for it to reason about ownership. This paper provides a brief overview of ownership issues for computer agents and an approach towards a coherent ontological framework for reasoning about agent own...
متن کاملA Formal Approach to Protocols and Strategies for (Legal) Negotiation
We propose a formal and executable framework for expressing protocols and strategies for automated (legal) negotiation. In this framework a party involved in a negotiation is represented through a software agent composed of four modules: (i) a communication module which manages the interaction with the other agents; (ii) a control module; (iii) a reasoning module specified as a defeasible theor...
متن کاملCausation in AI&Law
Reasoning about causation in fact is an essential element of attributing legal responsibility. Therefore, the automation of the attribution of legal responsibility requires a modelling effort aimed at the following: a thorough understanding of the relation between the legal concepts of responsibility and of causation in fact; a thorough understanding of the relation between causation in fact an...
متن کاملLegal Modelling and Reasoning Using Institutions
To safeguard fairness for all parties involved and proper procedure, actions within a legal context are heavily constrained. Detailed laws determine when actions are permissible and admissible. However, these restrictions do not prevent participants from acting. In this paper we present a methodology to sup port legal reasoning using institutions—systems that specify the normative be haviour ...
متن کاملMultiple Agent Based Entailment System(MABES) for RTE
Despite growing needs of the legal artificial intelligence (AI), its development is slower than other AI domains because legal expertise is essentially required to develop legal AI systems. Legal knowledge representation on legal expertise needs to be considered to implement legal reasoning AI systems. In this paper, we present a legal reasoning methodology, which utilizes multiple expert knowl...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2004