Norms Logic And Information Systems Information Systems

Information systems often fail because their requirements are poorly defined. This book shows IT professionals how to specify more precisely and more effectively what their systems need to do. The key lies in the discovery and application of what are called business rules. A business rule is a compact and simple statement that represents some important aspect of a business. By capturing the rules for your business—the logic that governs its operation—you will gain the ability to create systems fully aligned with your business needs. In this book, Tony Morgan provides a thorough introduction to business rules, as well as a practical framework for integrating them into information systems. He shows you how to identify and express business rules, offers practical strategies for their use, and explains the key elements of logic that underpin their application. Topics covered include: Understanding the role of business rules and models in information systems development Using models to structure and manage business activities, including e-commerce Defining and discovering business rules Controlling business rule quality Fitting business rules into varied technical architectures Implementing business rules using available technology Whether you are an analyst, designer, developer, or technical manager, the in-depth information and practical perspective in this valuable resource will guide you in your efforts to build rule-centered information systems that fully support the goals of your organization.

This volume contains the proceedings of the fourteenth JURIX conference, held December 13-14 2001 at the University of Amsterdam. The Foundation for Legal Knowledge Based Systems (JURIX) is a forum for research in law and computer science. Since 1988, JURIX has organized annual international conferences on research in the field. Topics addressed range from the theoretical (such as the modelling of the law and legal reasoning) to the practical (such as the design of systems that support legal decision making and teaching).

The Eighth International Baltic Conference on Databases and Information Systems took place on June 2–5 2008 in Tallinn, Estonia. This conference is continuing a series of successful bi-annual Baltic conferences on databases and information systems (IS). The aim is to provide a wide international forum for academics and practitioners in the field of databases and modern information systems for exchanging their achievements in this area. The original research results presented in Databases and Information Systems V mostly belong to novel fields of IS and database research such as database technology and the semantic web, ontology-based IS, IS and AI technologies and IS integration. The contribution of Dr. Jari PalomÄki showed how different ontological commitments affect the way we are modeling the world when creating an information system. As semantic technologies have been gaining more attention recently, a special session on semantic interoperability of IS was organized. The invited talks from each Baltic State gave a good insight how semantic interoperability initiatives are developing in each of the Baltic States and how they relate to the European semantic interoperability framework.

"It is not the consciousness of men that defines their existence, but, on the contrary, their social existence determines their consciousness." Karl Marx In recent years, several researchers have argued that the design of multi-agent sys tems (MAS) in complex, open environments can benefit from social abstractions in order to cope with problems in coordination, cooperation and trust among agents, problems which are also present in human societies. The agent-mediated electronic institutions (e-institutions for short) is a new and promising field which focuses in the concepts of norms and institutions in order to pro vide normative frameworks to restrict or guide the behaviour of (software) agents. The main idea is that the interactions among a group of (software) agents are ruled by a set of explicit norms expressed in a computational language representation that agents can interpret. Such norms should not be considered as a negative constraining factor but as an aid that guides the agents' choices and reduces the complexity ofthe environment making the behaviour of other agents more predictable.

Traditionally concerned with computational models of legal reasoning and the analysis of legal data, the field of legal knowledge and information systems has seen increasing interest in the application of data analytics and machine learning tools to legal tasks in recent years. This book presents the proceedings of the 34th annual JURIX conference, which, due to pandemic restrictions, was hosted online in a virtual format from 8 – 10 December 2021 in Vilnius, Lithuania. Since its inception as a mainly Dutch event, the JURIX conference has become truly international and now, as a platform for the exchange of knowledge between theoretical research and applications, attracts academics, legal practitioners, software companies, governmental agencies and judiciary from around the world. A total of 65 submissions were received for this edition, and after rigorous review, 30 of these were selected for publication as long papers or short papers, representing an overall acceptance rate of 46 %. The papers are divided into 6 sections: Visualization and Legal Informatics; Knowledge Representation and Data Analytics; Logical and Conceptual Representations; Predictive Models; Explainable Artificial Intelligence; and Legal Ethics, and cover a wide range of topics, from computational models of legal argumentation, case-based reasoning, legal ontologies, smart contracts, privacy management and evidential reasoning, through information extraction from different types of text in legal documents, to ethical dilemmas. Providing an overview of recent advances and the cross-fertilization between law and computing technologies, this book will be of interest to all those working at the interface between technology and law.

Time is ubiquitous in information systems. Almost every enterprise faces the problem of its data becoming out of date. However, such data is often valu able, so it should be archived and some means to access it should be provided. Also, some data may be inherently historical, e.g., medical, cadastral, or ju dicial records. Temporal databases provide a uniform and systematic way of dealing with historical data. Many languages have been proposed for tem poral databases, among others temporal logic. Temporal logic combines ab stract, formal semantics with the amenability to efficient implementation. This chapter shows how temporal logic can be used in temporal database applica tions. Rather than presenting new results, we report on recent developments and survey the field in a systematic way using a unified formal framework [GHR94; Ch094]. The handbook [GHR94] is a comprehensive reference on mathematical foundations of temporal logic. In this chapter we study how temporal logic is used as a query and integrity constraint language. Consequently, model-theoretic notions, particularly for mula satisfaction, are of primary interest. Axiomatic systems and proof meth ods for temporal logic [GHR94] have found so far relatively few applications in the context of information systems. Moreover, one needs to bear in mind that for the standard linearly-ordered time domains temporal logic is not re cursively axiomatizable [GHR94]' so recursive axiomatizations are by necessity incomplete.

This book constitutes the proceedings of the International Joint Conference on Rules and Reasoning, RuleML+RR 2018, held in Luxembourg during September 2018. This is the second conference of a new series, joining the efforts of two existing conference series, namely “RuleML” (International Web Rule Symposium) and “RR” (Web Reasoning and Rule Systems). The 10 full research papers presented together with 5 long technical communications and 7 short papers were carefully reviewed and selected from 33 submissions.

This book is dedicated to Marek Sergot, Professor in Computational Logic at Imperial College London, on the occasion of his 60th birthday. Professor Sergot’s scientific contributions range over many different fields. He has developed a series of novel ideas and formal methods bridging areas including artificial intelligence, computational logic, philosophical logic, legal theory, artificial intelligence and law, multi-agent systems and bioinformatics. By combining his background in logic and computing with his interest in the law, deontic logic, action, and related areas, and applying to all his capacity to understand the subtleties of social interaction and normative reasoning, Professor Sergot has opened up new directions of research, and has been a reference, an inspiration, and a model for many researchers in the fields to which he has contributed. The Festschrift includes several reminiscences and introductory essays describing Professor Sergot's achievements, followed by a series of articles on logic programming, temporal reasoning and action languages, artificial intelligence and law, deontic logic and norm-governed systems, and logical approaches to policies.