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Found 30 papers, 1 papers with code
Object-Centric Conformance Alignments with Synchronization (Extended Version)
In this paper, we present a new formalism that combines the key modelling features of two existing approaches, in particular the ability of object-centric Petri nets to capture one-to-many relations and the one of Petri nets with identifiers to compare and synchronize objects based on their identity.
DELPHIC: Practical DEL Planning via Possibilities (Extended Version)
To substantiate this claim, we implement both approaches in ASP and we set up an experimental evaluation to compare DELPHIC with the traditional, Kripke-based approach.
A Semantic Approach to Decidability in Epistemic Planning (Extended Version)
Finally, we show that two well-known epistemic planning systems based on action templates, when interpreted under the setting of knowledge, conform to the commutativity axiom, hence proving their decidability.
Enjoy the Silence: Analysis of Stochastic Petri Nets with Silent Transitions
In this article, we provide such a characterization starting from generalized stochastic Petri nets and obtaining the framework of labelled stochastic processes (LSPs).
Relational Action Bases: Formalization, Effective Safety Verification, and Invariants (Extended Version)
Modeling and verification of dynamic systems operating over a relational representation of states are increasingly investigated problems in AI, Business Process Management, and Database Theory.
Conformance Checking with Uncertainty via SMT (Extended Version)
Logs of real-life processes often feature uncertainty pertaining the recorded timestamps, data values, and/or events.
Soundness of Data-Aware Processes with Arithmetic Conditions
The implementation is validated on a collection of examples from the literature, and on synthetic variants constructed from such examples.
Linear-Time Verification of Data-Aware Dynamic Systems with Arithmetic
Combined modeling and verification of dynamic systems and the data they operate on has gained momentum in AI and in several application domains.
AI-Augmented Business Process Management Systems: A Research Manifesto
AI-Augmented Business Process Management Systems (ABPMSs) are an emerging class of process-aware information systems, empowered by trustworthy AI technology.
Monitoring Hybrid Process Specifications with Conflict Management: The Automata-theoretic Approach
For example, in the medical domain, a clinical guideline describing the treatment of a specific disease cannot account for all possible co-factors that can coexist for a specific patient and therefore additional constraints may need to be considered.
Process discovery on deviant traces and other stranger things
As the need to understand and formalise business processes into a model has grown over the last years, the process discovery research field has gained more and more importance, developing two different classes of approaches to model representation: procedural and declarative.
SMT-Based Safety Verification of Data-Aware Processes under Ontologies (Extended Version)
In the context of verification of data-aware processes (DAPs), a formal approach based on satisfiability modulo theories (SMT) has been considered to verify parameterised safety properties of so-called artifact-centric systems.
CoCoMoT: Conformance Checking of Multi-Perspective Processes via SMT (Extended Version)
Conformance checking is a key process mining task for comparing the expected behavior captured in a process model and the actual behavior recorded in a log.
Mapping Patterns for Virtual Knowledge Graphs
Virtual Knowledge Graphs (VKG) constitute one of the most promising paradigms for integrating and accessing legacy data sources.
Formalizing Integration Patterns with Multimedia Data (Extended Version)
The previous works on formalizing enterprise application integration (EAI) scenarios showed an emerging need for setting up formal foundations for integration patterns, the EAI building blocks, in order to facilitate the model-driven development and ensure its correctness.
SMT-based Safety Verification of Parameterised Multi-Agent Systems
In this paper we study the verification of parameterised multi-agent systems (MASs), and in particular the task of verifying whether unwanted states, characterised as a given state formula, are reachable in a given MAS, i. e., whether the MAS is unsafe.
Petri Nets with Parameterised Data: Modelling and Verification (Extended Version)
During the last decade, various approaches have been put forward to integrate business processes with different types of data.
Temporal Logics Over Finite Traces with Uncertainty (Technical Report)
Temporal logics over finite traces have recently seen wide application in a number of areas, from business process modelling, monitoring, and mining to planning and decision making.
Semantic DMN: Formalizing and Reasoning About Decisions in the Presence of Background Knowledge
The Decision Model and Notation (DMN) is a recent OMG standard for the elicitation and representation of decision models, and for managing their interconnection with business processes.
Catalog of Formalized Application Integration Patterns
Enterprise application integration (EAI) solutions are the centrepiece of current enterprise IT architectures (e. g., cloud and mobile computing, business networks), however, require the formalization of their building blocks, represented by integration patterns, verification and optimization.
Software Engineering Logic in Computer Science
Abducing Compliance of Incomplete Event Logs
The capability to store data about business processes execution in so-called Event Logs has brought to the diffusion of tools for the analysis of process executions and for the assessment of the goodness of a process model.
Verification of Generalized Inconsistency-Aware Knowledge and Action Bases (Extended Version)
Knowledge and Action Bases (KABs) have been put forward as a semantically rich representation of a domain, using a DL KB to account for its static aspects, and actions to evolve its extensional part over time, possibly introducing new objects.
Adding Context to Knowledge and Action Bases
Knowledge and Action Bases (KABs) have been recently proposed as a formal framework to capture the dynamics of systems which manipulate Description Logic (DL) Knowledge Bases (KBs) through action execution.
Verification of Relational Multiagent Systems with Data Types (Extended Version)
We study the extension of relational multiagent systems (RMASs), where agents manipulate full-fledged relational databases, with data types and facets equipped with domain-specific, rigid relations (such as total orders).
LTLf and LDLf Monitoring: A Technical Report
LDLf is a powerful logic that captures all monadic second order logic on finite traces, which is obtained by combining regular expressions and LTLf, adopting the syntax of propositional dynamic logic (PDL).
Description Logic Knowledge and Action Bases
Description logic Knowledge and Action Bases (KAB) are a mechanism for providing both a semantically rich representation of the information on the domain of interest in terms of a description logic knowledge base and actions to change such information over time, possibly introducing new objects.
Verification of Semantically-Enhanced Artifact Systems (Extended Version)
In this setting, we present a technique to specify temporal properties expressed over the Semantic Layer, and verify them according to the evolution in the underlying GSM model.
Verification of Inconsistency-Aware Knowledge and Action Bases (Extended Version)
Description Logic Knowledge and Action Bases (KABs) have been recently introduced as a mechanism that provides a semantically rich representation of the information on the domain of interest in terms of a DL KB and a set of actions to change such information over time, possibly introducing new objects.
