Encapsulating deontic and branching time specifications

In this paper, we investigate formal mechanisms to enable designers to decompose specifications (stated in a given logic) into several interacting components in such a way that the composition of these components preserves their encapsulation and internal non-determinism. The preservation of encapsulation (or locality) enables a modular form of reasoning over specifications, while the conservation of the internal non-determinism is important to guarantee that the branching time properties of components are not lost when the entire system is obtained. The basic ideas come from the work of Fiadeiro and Maibaum where notions from category theory are used to structure logical specifications. As the work of Fiadeiro and Maibaum is stated in a linear temporal logic, here we investigate how to extend these notions to a branching time logic, which can be used to reason about systems where non-determinism is present. To illustrate the practical applications of these ideas, we introduce deontic operators in our logic and we show that the modularization of specifications also allows designers to maintain the encapsulation of deontic prescriptions; this is in particular useful to reason about fault-tolerant systems, as we demonstrate with a small example.Fil: Castro, Pablo Francisco. Universidad Nacional de Río Cuarto; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; ArgentinaFil: Maibaum, Thomas S. E.. Mc Master University; Canad

Logic-based Technologies for Multi-agent Systems: A Systematic Literature Review

Precisely when the success of artificial intelligence (AI) sub-symbolic techniques makes them be identified with the whole AI by many non-computerscientists and non-technical media, symbolic approaches are getting more and more attention as those that could make AI amenable to human understanding. Given the recurring cycles in the AI history, we expect that a revamp of technologies often tagged as “classical AI” – in particular, logic-based ones will take place in the next few years. On the other hand, agents and multi-agent systems (MAS) have been at the core of the design of intelligent systems since their very beginning, and their long-term connection with logic-based technologies, which characterised their early days, might open new ways to engineer explainable intelligent systems. This is why understanding the current status of logic-based technologies for MAS is nowadays of paramount importance. Accordingly, this paper aims at providing a comprehensive view of those technologies by making them the subject of a systematic literature review (SLR). The resulting technologies are discussed and evaluated from two different perspectives: the MAS and the logic-based ones

Electronic institutions with normative environments for agent-based E-contracting

Tese de doutoramento. Engenharia Informática. Faculdade de Engenharia. Universidade do Porto. 201

Introducing norms into practical reasoning agents

As distributed electronic systems grow to include thousands of components, from grid to peer-to-peer nodes, from (Semantic) Web services to web-apps to computation in the cloud, governance of such systems is becoming a real challenge. Modern approaches ensuring appropriate individual entities' behaviour in distributed systems, which comes from multi-agent systems (MAS) research, use norms (or regulations or policies) and/or communication protocols to express a different layer of desired or undesired states. From the individuals perspective, an agent needs to be able to function in an environment where norms act as behavioural restrictions or guidelines as to what is appropriate, not only for the individual but also for the community. In the literature the concept of norms has been defined from several perspectives: as a rule or standard of behaviour shared by members of a social group, as an authoritative rule or standard by which something is judged, approved or disapproved, as standards of right and wrong, beauty and ugliness, and truth and falsehood, or even as a model of what should exist or be followed, or an average of what currently does exist in some context. Currently there exist in the literature: 1) some treatments that formally connect the deontic aspects of norms with their operationalisation; 2) some treatments that properly distinguish between abstract norms and their (multiple) instantiations at runtime; 3) little work that formalises the operational semantics in a way that ensures flexibility in their translation to actual implementations while ensuring unambiguous interpretations of the norms; 4) little work that is suitable for both institutional-level norm monitoring and individual agent norm-aware reasoning to ensure that both are aligned; 5) few works that explore how the norms may affect the decision making process of an agent when the process includes planning mechanisms at runtime for means-ends reasoning. However, currently there is no work that includes both a formalism and an implementation covering 1-5 altogether. This thesis presents work towards the above five areas. We give a proposal to bridge the gap between a single norm formalisation and the actual mechanisms used for norm-aware planning, in order to create a normative practical reasoning mechanism. One way to do this is by reducing deontic-based norm definitions to temporal logic formulas which, in turn, can be translated into planning operational semantics. Based on these semantics, we create a mechanism to support practical normative reasoning that can be used by agents to produce and evaluate their plans. We construct a norm-oriented agent that takes into consideration operationalised norms during the plan generation phase, using them as guidelines to decide the agents future action path. To make norms influence plan generation, our norm operational semantics is expressed as an extension of the planning domain, acting as a form of temporal restrictions over the trajectories (plans) computed by the planner. We consider two approaches to do so. One implementing the semantics by using planning with constraints through paths and the other by directly translating the norms into domain knowledge to be included into the planning domain. We explore a scenario based on traffic laws in order to demonstrate the usability of our proposal. We also show how our normative frameworks are successfullyintegrated into an existing BDI agent implementation, 2APL. For each approach taken, we present quantitative experimental results and illustrate the opportunities for further research.La gestión de sistemas electrónicos distribuidos se está convirtiendo en un auténtico reto a medida que dichos sistemas crecen incluyendo múltiples componentes, desde nodos grid a peer-to-peer, servicios de la Web semántica, aplicaciones web o computación en la nube. Los enfoques modernos que aseguran un comportamiento adecuado de las entidades individuales en sistemas distribuidos, y que provienen de la investigación en sistemas multi-agentes (MAS), utilizan normas (o regulaciones o políticas) para expresar un nivel diferente de estados deseados o no deseados. Desde la perspectiva del individuo, un agente necesita poder funcionar en un entorno donde las normas actúen como restricciones o directrices de comportamiento respecto a lo que es apropiado,no únicamente para el individuo sino para la comunidad en su conjunto. En la literatura el concepto de norma se ha definido desde varias perspectivas: como una regla o estándar de comportamiento compartida por los miembros de un grupo social, como estándar de lo correcto o incorrecto, belleza o fealdad, o incluso, como un modelo que debería existir o ser seguido. En la actualidad se pueden encontrar en la literatura: 1) trabajos que conectan formalmente los aspectos deónticos de las normas con su operacionalización; 2) trabajos que distinguen adecuadamente entre normas abstractas y sus (múltiples) instanciaciones en tiempo de ejecución; 3) algún ejemplo que formaliza las semánticas operacionales de manera que se asegura la flexibilidad en su traducción a implementaciones garantizando a su vez interpretaciones no ambiguas de las normas; 4) algún trabajo que se adecúa tanto a la monitorización de normas a nivel institucional como al razonamiento basado en normas a nivel de los agentes individuales y que asegura que ambos están alineados; 5) algún trabajo que explora como las normas pueden afectar al proceso de toma de decisiones de un agente cuando el proceso incluye mecanismos de planificación en tiempo real para un razonamiento medios-fines. Sin embargo, actualmente no existe ningún enfoque que incluya formalismos e implementaciones abordando los 5 puntos al mismo tiempo. La presente tesis propone contribuciones en las cinco áreas mencionadas. Se presenta una propuesta para establecer un enlace entre la formalización de una norma y los mecanismos utilizados en la planificación basada en normas con el objetivo de crear un mecanismo de razonamiento práctico normativo. Una forma de conseguirlo es mediante la reducción de las definiciones de normas basadas en deóntica a fórmulas de lógica temporal que, a su vez, pueden ser traducidas a semánticas operacionales de planificación. Basándose en estas semánticas, se ha creado un mecanismo para dar soporte al razonamiento normativo práctico que puede ser utilizado por los agentes para producir y evaluar sus planes. Se ha construido un agente orientado a normas que tiene en consideración las normas operacionalizadas durante la fase de generación de planes, utilizándolas como directrices para decidir el futuro curso de acción del agente. Nuestras semánticas operacionales de normas se expresan como una extensión del dominio de la planificación, actuando como una forma de restricciones temporales sobre las trayectorias (planes) computadas por el planificador. Se han considerado dos enfoques para realizarlo. Uno, implementando las semánticas utilizando planificación con restricciones a través de caminos y otro, traduciendo directamente las normas en conocimiento del dominio que se incluirá en el dominio de planificación. Se explora un escenario basado en normas de circulación de tráfico para demostrar la usabilidad de nuestra propuesta. Se mostrará también como nuestro marco normativo se integra satisfactoriamente en una implementación existente de agentes BDI, 2APL. Para cada enfoque considerado, se presentan resultados experimentales cuantitativos y se ilustran las oportunidades para futuros trabajos de investigación.A mesura que els sistemes electrònics distribuïts creixen per incloure milers de components,des de nodes grid a peer-to-peer fins a serveis de la Web semàntica, aplicacions web o computació al núvol, la gestió d’aquests sistemes s’està convertint en un autèntic repte. Els enfocs moderns que asseguren el comportament apropiat de lesentitats individuals en sistemes distribuïts, que prové de la recerca en sistemes multiagents, utilitzen normes (o regulacions o polítiques) i/o protocols de comunicació perexpressar una capa diferent d’estats desitjats o no desitjats. Des de la perspectiva de l’individu, un agent necessita poder funcionar en un entorn on les normes actuïn coma restriccions de comportament o guies respecte al que és apropiat, no només per al individu sinó per a la comunitat.En la literatura el concepte de normes s’ha tractat des de diferents perspectives: com una regla o estàndard de comportament compartida pels membres d’un grup social, com una regla o estàndard autoritari pel qual alguna cosa és jutjada, aprovada o desaprovada,com estàndard del correcte i del incorrecte, bellesa i lletjor, veritat i falsedat, o inclús com un model del que hauria d’existir o ser seguit, o com una mitjana del que actualment existeix en un context donat. Actualment trobem en la literatura:1) alguns tractaments que connecten formalment els aspectes deòntics de les normes amb la seva operacionalització; 2) alguns tractaments que distingeixen adequadament entre normes abstractes i les seves (múltiples) instanciacions en temps real; 3) alguns exemples que formalitzen les semàntiques operacionals de manera que asseguren flexibilitaten la seva traducció a implementacions garantint interpretacions no ambigües de les normes; 4) alguns treballs adequats per a la monitorització de normes a nivell institucional i per al raonament basat en normes en agents individuals assegurant que ambdós estan alineats; 5) alguns treballs que exploren com les normes poden afectar el procés de presa de decisions d’un agent quan el procés inclou mecanismes de planificació en temps real per a raonament mitjans-finalitats. D’altra banda, actualment noexisteix cap enfoc que inclogui formalismes i implementacions cobrint els punts 1-5 a la vegada.Aquesta tesi presenta contribucions en les cinc àrees esmentades. Presentem una proposta per establir un enllaç entre la formalització d’una norma i els mecanismes emprats en la planificació basada en normes per tal de crear un mecanisme de raonament pràctic normatiu. Una manera d’aconseguir-ho és reduint les definicions de normes deòntiques a fórmules de lògica temporal les quals poden ser traduïdes asemàntiques de planificació operacional. Basant-nos en aquestes semàntiques, hem creat un mecanisme per donar suport al raonament normatiu pràctic que pot ser emprat per agents per produir i avaluar els seus plans. Hem construït un agent orientat a normes que pren en consideració durant la fase de generació de plans les normes operacionalitzades, utilitzant-les com a guia per decidir el futur curs d’acció de l’agent.Per tal de fer que les normes influenciïn la generació de plans, les nostres semàntiques operacionals de normes s’expressen com una extensió del domini de la planificació,actuant com una mena de restriccions temporals sobre les trajectòries (plans) computadespel planificador. Considerem dos enfocs per dur-ho a terme. Un implementant les semàntiques emprant planificació amb restriccions per mitjà de camins i l’altre traduint directament les normes en coneixement del domini a ser inclòs en el domini de planificació. Explorem un escenari basat en les normes de circulació de tràfic per demostrar la usabilitat de la nostra proposta. Mostrarem també com el nostre marc normatiu s’integra satisfactòriament en una implementació existent d’agentBDI, 2APL. Per cada enfoc considerat, presentem resultats experimentals quantitatius i il.lustrem les oportunitats per treballs de recerca futurs

A specification method for the scalable self-governance of complex autonomic systems

IBM, amongst many others, have sought to endow computer systems with selfmanagement capabilities by delegating vital functions to the software itself and proposed the Autonomic Computing model. Hence inducing the so-called self-* properties including the system's ability to be self-configuring, self-optimising, self-healing and self-protecting. Initial attempts to realise such a vision have so far mostly relied on a passive adaptation whereby Design by Contract and Event-Condition-Action (ECA) type constructs are used to regulate the target systems behaviour: When a specific event makes a certain condition true then an action is triggered which executes either within the system or on its environment Whilst, such a model works well for closed systems, its effectiveness and applicability of approach diminishes as the size and complexity of the managed system increases, necessitating frequent updates to the ECA rule set to cater for new and/or unforeseen systems' behaviour. More recent research works are now adopting the parametric adaptation model, where the events, conditions and actions may be adjusted at runtime in response to the system's observed state. Such an improved control model works well up to a point, but for large scale systems of systems, with very many component interactions, the predictability and traceability of the regulation and its impact on the whole system is intractable. The selforganising systems theory, however, offers a scaleable alternative to systems control utilising emerging behaviour, observed at a global level, resulting from the low-level interactions of the distributed components. Whereby, for instance, key signals (signs) for ECA style feedback control need no longer be recognised or understood in the context of the design time system but are defined by their relevance to the runtime system. Nonetheless this model still suffers from a usually inaccessible control model with no intrinsic meaning assigned to data extraction from the systems operation. In other words, there is no grounded definition of particular observable events occurring in the system. This condition is termed the Signal Grounding Problem. This problem cannot usually be solved by analytical or algorithmic methods, as these solutions generally require precise problem formulations and a static operating domain. Rather cognitive techniques will be needed that perform effectively to evaluate and improve performance in the presence of complex, incomplete, dynamic and evolving environments. In order to develop a specification method for scalable self-governance of autonomic systems of systems, this thesis presents a number of ways to alleviate, or circumvent, the Signal Grounding Problem through the utilisation of cognitive systems and the properties of complex systems. After reviewing the specification methods available for governance models, the Situation Calculus dialect of first order logic is described with the necessary modalities for the specification of deliberative monitoring in partially observable environments with stochastic actions. This permits a specification method that allows the depiction of system guards and norms, under central control, as well as the deliberative functions required for decentralised components to present techniques around the Signal Grounding problem, engineer emergence and generally utilise the properties of large complex systems for their own self-governance. It is shown how these large-scale behaviours may be implemented and the properties assessed and utilised by an Observer System through fully functioning implementations and simulations. The work concludes with two case studies showing how the specification would be achieved in practice: An observer based meta-system for a decision support system in medicine is described, specified and implemented up to parametric adaptation and a NASA project is described with a specification given for the interactions and cooperative behaviour that leads to scale-free connectivity, which the observer system may then utilise for a previously described efficient monitoring strategy

Model checking and compositional reasoning for multi-agent systems

Multi-agent systems are distributed systems containing interacting autonomous agents designed to achieve shared and private goals. For safety-critical systems where we wish to replace a human role with an autonomous entity, we need to make assurances about the correctness of the autonomous delegate. Specialised techniques have been proposed recently for the verification of agents against mentalistic logics. Problematically, these approaches treat the system in a monolithic way. When verifying a property against a single agent, the approaches examine all behaviours of every component in the system. This is both inefficient and can lead to intractability: the so-called state-space explosion problem. In this thesis, we consider techniques to support the verification of agents in isolation. We avoid the state-space explosion problem by verifying an individual agent in the context of a specification of the rest of the system, rather than the system itself. We show that it is possible to verify an agent against its desired properties without needing to consider the behaviours of the remaining components. We first introduce a novel approach for verifying a system as a whole against specifications expressed in a logic of time and knowledge. The technique, based on automata over trees, supports an efficient procedure to verify systems in an automata-theoretic way using language containment. We show how the automata-theoretic approach can be used as an underpinning for assume-guarantee reasoning for multi-agent systems. We use a temporal logic of actions to specify the expected behaviour of the other components in the system. When performing modular verification, this specification is used to exclude behaviours that are inconsistent with the concrete system. We implement both approaches within the open-source model checker MCMAS and show that, for the relevant properties, the assume-guarantee approach can significantly increase the tractability of individual agent verification.Open Acces