A logic programming framework for modeling temporal objects

Published versio

Model evolution and system evolution

In this paper we define an evolution mechanism with formal semantics using the metamodeling methodology [Geisler et al.98] based on dynamic logic. A remarkable feature of the metamodeling methodology is the ability to define the relation of intentional and extensional entities within one level, allowing not only for the description of structural relations among the modeling entities, but also for a formal definition of structural\nconstraints and dynamic semantics of the modeled entities. While dynamic semantics on the extensional level means run-time behavior, dynamic semantics on intentional level describes model evolution in the system life cycle

Model evolution and system evolution

In this paper we define an evolution mechanism with formal semantics using the metamodeling methodology [Geisler et al.98] based on dynamic logic. A remarkable feature of the metamodeling methodology is the ability to define the relation of intentional and extensional entities within one level, allowing not only for the description of structural relations among the modeling entities, but also for a formal definition of structural constraints and dynamic semantics of the modeled entities. While dynamic semantics on the extensional level means run-time behavior, dynamic semantics on intentional level describes model evolution in the system life cycle.Eje: Ingeniería de softwareRed de Universidades con Carreras en Informática (RedUNCI

Semantic technologies for open interaction systems

Open interaction systems play a crucial role in agreement technologies because they are software devised for enabling autonomous agents (software or human) to interact, negotiate, collaborate, and coordinate their activities in order to establish agreements and manage their execution. Following the approach proposed by the recent literature on agent environments those open distributed systems can be efficiently and effectively modeled as a set of correlated physical and institutional spaces of interaction where objects and agents are situated. In our view in distributed open systems, spaces are fundamental for modeling the fact that events, actions, and social concepts (like norms and institutional objects) should be perceivable only by the agents situated in the spaces where they happen or where they are situated. Institutional spaces are also crucial for their active functional role of keeping track of the state of the interaction, and for monitoring and enforcing norms. Given that in an open distributed and dynamic system it is fundamental to be able to create and destroy spaces of interaction at run-time, in this paper we propose to create them using Artificial Institutions (AIs) specified at design time. This dynamic creation is a complex task that deserves to be studied in all details. For doing that, in this paper, we will first define the various components of AIs and spaces using Semantic Web Technologies, then we will describe the mechanisms for using AIs specification for realizing spaces of interaction. We will exemplify this process by formalizing the components of the auction Artificial Institution and of the spaces created for running concrete auction

Model evolution and system evolution

In this paper we define an evolution mechanism with formal semantics using the metamodeling methodology [Geisler et al.98] based on dynamic logic. A remarkable feature of the metamodeling methodology is the ability to define the relation of intentional and extensional entities within one level, allowing not only for the description of structural relations among the modeling entities, but also for a formal definition of structural constraints and dynamic semantics of the modeled entities. While dynamic semantics on the extensional level means run-time behavior, dynamic semantics on intentional level describes model evolution in the system life cycle.Eje: Ingeniería de softwareRed de Universidades con Carreras en Informática (RedUNCI

Model evolution and system evolution

In this paper we define an evolution mechanism with formal semantics using the metamodeling methodology [Geisler et al.98] based on dynamic logic. A remarkable feature of the metamodeling methodology is the ability to define the relation of intentional and extensional entities within one level, allowing not only for the description of structural relations among the modeling entities, but also for a formal definition of structural constraints and dynamic semantics of the modeled entities. While dynamic semantics on the extensional level means run-time behavior, dynamic semantics on intentional level describes model evolution in the system life cycle.Facultad de Informátic

Modelling and Testing Object-Oriented Distributed Systems with Linear-time Temporal Logic

Numerous proposals for applying temporal logic to the specification and verification of object-oriented systems have appeared in the past several years. Although various temporal models have been proposed for the requirements analysis of object-oriented distributed systems, there is no similar amount of work for the design- and implementation phase. We present a formal model for the design- and implementation stage which reflects practical requirements and is yet sufficiently general to be applied to a wide range of systems. In our model, which relies on event-based behavioral abstraction, we use linear-time temporal logic as the underlying formalism for the specification of behavioral constraints. We show that although temporal logic is a powerful tool for behavior specifications, it does not have the expressive power required for non-trivial object systems. Specifically, in an object-system it is often essential to express procedural dependencies rather than simple temporal relationships for which we introduce two novel operators. In a case study we demonstrate the practical relevance and applicability of our model