Danilo Pianini

Scopus Publications

Testing BDI-based multi-agent systems using discrete event simulation
Martina Baiardi, Samuele Burattini, Giovanni Ciatto, Danilo Pianini
Autonomous Agents and Multi Agent Systems, 2026
Multi-agent systems are designed to deal with open, distributed systems with unpredictable dynamics, which makes them inherently hard to test. The value of using simulation for this purpose is recognized in the literature, although achieving sufficient fidelity (i.e., the degree of similarity between the simulation and the real-world system) remains a challenging task. This is exacerbated when dealing with cognitive agent models, such as the Belief Desire Intention (BDI) model, where the agent codebase is not suitable to run unchanged in simulation environments, thus increasing the reality gap between the deployed and simulated systems. We argue that BDI developers should be able to test in simulation the same specification that will be later deployed, with no surrogate representations. Thus, in this paper, we discuss how the control flow of BDI agents can be mapped onto a Discrete Event Simulation (DES), showing that such integration is possible at different degrees of granularity. We substantiate our claims by producing an open-source prototype integration between two pre-existing tools (JaKtA and Alchemist), showing that it is possible to produce a simulation-based testing environment for distributed BDI agents, and that different granularities in mapping BDI agents over DESs may lead to different degrees of fidelity.
First-order optimization algorithms: state of the art, classification, and performance: a practitioner’s guide
Ruslan Shaiakhmetov, Danilo Pianini, Angelo Filaseta, Gabriele D’Angelo, Valter Venusti
Neural Computing and Applications, 2026
Driven by the rising interest in machine learning techniques, mathematical continuous optimization algorithms have made great progress. Among them, first-order optimization algorithms, which rely on the first derivative (gradient) to find a function’s minimum or maximum, have gained popularity due to their efficiency and scalability. As a result, a vast number of optimization algorithms have been developed, each applying different techniques and offering diverse guarantees. This variety, while beneficial, makes selecting the most appropriate algorithm a challenging yet crucial task–choosing the wrong one may lead to sub-par accuracy or performance. This paper explores the state of the art in continuous first-order optimization algorithms, offering guidance for selecting the most suitable method. We classify 23 algorithms, detailing their dependency relationships, theoretical foundations, and optimization strategies. The analysis includes a performance evaluation using implementations in the PyTorch framework. Convergence, quantified by the area under the training-loss curve, is assessed with two benchmarks: the Rosenbrock function as a standard test and ResNet-18 training on the CIFAR-10 dataset as a practical test. We evaluate performance using an integral metric and analyze robustness to hyperparameter variations, including learning rate sensitivity. Additionally, we introduce a classification of algorithm convergence behaviors. These experiments provide insights into algorithm performance across varying problem complexities and highlight their stability under hyperparameter changes. Practitioners and researchers can use this work as a guide to identify the set of most likely good candidates as first-order optimization algorithms for their use case.
FieldVMC: an asynchronous model and platform for self-organising morphogenesis of artificial structures
Angela Cortecchia, Giovanni Ciatto, Roberto Casadei, Danilo Pianini
Complex and Intelligent Systems, 2026
The vascular morphogenesis controller (VMC) is an approach to structure development inspired by the way plants branch and distribute nutrients. It has proven useful to guide shape formation in modular robotics as well as resource distribution in hierarchically-structured organisations, such as large companies. In this work, we propose FieldVMC: a generalisation of VMC, founded on the field-based approach known as aggregate computing, which is applicable to arbitrary topologies (i.e., undirected graphs rather than trees) and supports asynchronous and decentralised execution. We redesign VMC as a field-based computation, hence enabling the emergence of organisational hierarchies out of self-organising interactions among local entities. The benefits of our approach are manifold. Being decentralised and free from topological constraints, our approach makes VMC applicable to arbitrary networks; being based on a well-known computational model, inheriting scalability, asynchronicity, and self-organising capabilities; being implemented in a functional field-based computation framework, fostering reuse and composability. To support our claims, we conduct in-silico quantitative experiments comparing FieldVMC with the original VMC. The results demonstrate that FieldVMC is a monotonic extension of VMC, offering (i) faster convergence, and (ii) enhanced capabilities for capturing, analyzing, and engineering novel phenomena.
JaKtA: Closing the Tooling Gap for Mainstream BDI
Martina Baiardi, Samuele Burattini, Giovanni Ciatto, Danilo Pianini
Agents and Multi Agent Systems Development Platforms Toolkits Technologies, 2026
Driving Closer to the Limit: Improved Virtual Racecar Drivers with Data-Driven Control
Ruslan Shaiakhmetov, Danilo Pianini, Valter Venusti, Gabriele D’Angelo, Alessandro V. Papadopoulos
Communications in Computer and Information Science, 2026
HarmoniKt: a Unifying Middleware for Heterogeneous Robot Fleets
Manuel Andruccioli, Angela Cortecchia, Davide Domini, Nicolas Farabegoli, Giovanni Delnevo, Danilo Pianini, Riccardo Venanzi, Mirko Viroli
Proceedings IEEE Consumer Communications and Networking Conference Ccnc, 2026
In recent years, companies have increasingly invested in Industry 4.0 research to automate repetitive tasks or activities that may be harmful to humans. For instance, large-scale warehouses, such as those operated by Amazon, rely heavily on mobile robots to streamline logistics operations and ensure worker safety. At the same time, robot manufacturers are releasing more reliable platforms with advanced capabilities, making them suitable for complex industrial tasks. Despite this growing interest and technological progress, significant challenges remain. A key and non-trivial issue lies in the integration of heterogeneous robot fleets: each vendor typically employs proprietary technologies and interfaces, which hinders interoperability and limits the potential of multi-brand deployments.In this work, we introduce HarmoniKt, an extensible middle-ware that addresses this challenge by introducing an abstraction layer and providing a unified REST API for the control and management of heterogeneous robots. Our solution has been validated in a physical industrial-like environment using a mixed fleet of Boston Dynamics Spot and Mobile Industrial Robots (MiR). Furthermore, we present a comparative analysis showing that the access latency introduced by our middleware is not significantly higher than that of direct robot access, demonstrating the feasibility of unified robot management without compromising performance.
Software Engineering for Collective Cyber-Physical Ecosystems
Roberto Casadei, Gianluca Aguzzi, Giorgio Audrito, Ferruccio Damiani, Danilo Pianini, Giordano Scarso, Gianluca Torta, Mirko Viroli
ACM Transactions on Software Engineering and Methodology, 2025
Today’s distributed and pervasive computing addresses large-scale cyber-physical ecosystems, characterised by dense and large networks of devices capable of computation, communication and interaction with the environment and people. While most research focuses on treating these systems as ‘composites’ (i.e., heterogeneous functional complexes), recent developments in fields such as self-organising systems and swarm robotics have opened up a complementary perspective: treating systems as ‘collectives’ (i.e., uniform, collaborative and self-organising groups of entities). This article explores the motivations, state of the art and implications of this ‘collective computing paradigm’ in software engineering. In particular, it discusses its peculiar challenges, implied by characteristics like distribution, situatedness, large scale and cooperative nature. These challenges outline significant directions for future research in software engineering, touching on aspects such as macro-programming, collective intelligence, self-adaptive middleware, learning/synthesis of collective behaviour, human involvement, safety and security in collective cyber-physical ecosystems.
Robust Communication Through Collective Adaptive Relay Schemes for Maritime Vessels
Martina Baiardi, Danilo Pianini, Ghassan Al-Falouji, Sven Tomforde
Proceedings 2025 IEEE International Conference on Autonomic Computing and Self Organizing Systems Acsos 2025, 2025
Maritime communication networks face unique challenges due to the dynamic and sparse distribution of vessels, variable environmental conditions, and heterogeneous technological constraints. With the increasing trend toward autonomy in maritime operations, these challenges become more pronounced. Modern maritime navigation systems integrate numerous highbandwidth sensors (including cameras and LiDAR) to enhance environmental perception, whose exploitation generates increased data rate demand. The increase is in contrast to traditional ship communication systems, which provide data rates in the order of kilobits per second. This paper proposes robust, multimean, collective adaptive software infrastructures to resiliently improve data collection by relaying data streams across multiple vessels. In particular, we introduce a method to form dynamic clusters of vessels whose information is summarised and then transmitted, raising the probability that the information reaches its destination. We validate our approach through simulation and show that the proposed clustering mechanism is capable of scaling up as new vessels are equipped with improved communication technologies. The research provides practical guidelines for the implementation of self-adaptive communication schemes in maritime environments, advancing the development of resilient communication systems capable of supporting real-time coordination, environmental monitoring, and emergency response for autonomous maritime operations.
Streamlining Parameter Tuning in Full-Body Racing Simulators with an Automated Pipeline
Ruslan Shaiakhmetov, Danilo Pianini, Gabriele D’Angelo, Valter Venusti
Lecture Notes in Computer Science, 2025
The Gap Between BDI Agents and Semantic Hypermedia and What We Can Do About It
Ceur Workshop Proceedings, 2025
CoMPass: A Roadmap to Collaborative Perception and Autonomy in Maritime Systems
Ghassan Al-Falouji, Martina Baiardi, Danilo Pianini, Sven Tomforde
Proceedings 2025 IEEE International Conference on Autonomic Computing and Self Organizing Systems Companion Acsos C 2025, 2025
A Field-Based Approach for Runtime Replanning in Swarm Robotics Missions
Gianluca Aguzzi, Martina Baiardi, Angela Cortecchia, Branko Miloradovic, Alessandro Papadopoulos, Danilo Pianini, Mirko Viroli
Proceedings 2025 IEEE International Conference on Autonomic Computing and Self Organizing Systems Acsos 2025, 2025
A Demonstrator for Self-organizing Robot Teams
Gianluca Aguzzi, Lorenzo Bacchini, Martina Baiardi, Roberto Casadei, Angela Cortecchia, Davide Domini, Nicolas Farabegoli, Danilo Pianini, Mirko Viroli
Lecture Notes in Computer Science, 2025
Dynamic IoT deployment reconfiguration: A global-level self-organisation approach
Nicolas Farabegoli, Danilo Pianini, Roberto Casadei, Mirko Viroli
Internet of Things the Netherlands, 2024
Blending BDI Agents with Object-Oriented and Functional Programming with JaKtA
Martina Baiardi, Samuele Burattini, Giovanni Ciatto, Danilo Pianini
SN Computer Science, 2024
Scalability through Pulverisation: Declarative deployment reconfiguration at runtime
Nicolas Farabegoli, Danilo Pianini, Roberto Casadei, Mirko Viroli
Future Generation Computer Systems, 2024
Smart Collective Services in the Edge–Cloud Continuum Based on a Simulation-Driven Toolchain
Danilo Pianini, Claudio Savaglio
Internet of Things, 2024
Towards Adaptive Trajectories for Mixed Autonomous and Human-Operated Ships
Danilo Pianini, Sven Tomforde
Proceedings 2024 IEEE International Conference on Autonomic Computing and Self Organizing Systems Companion Acsos C 2024, 2024
An Architecture and Prototype for Monitoring Distributed Simulations of Distributed Systems
Angelo Filaseta, Danilo Pianini, Angela Cortecchia
Proceedings IEEE International Symposium on Distributed Simulation and Real Time Applications Ds RT, 2024
An Agent-Based Model of Directional Multi-Herds
Denys Grushchak, Jenna Kline, Danilo Pianini, Nicolas Farabegoli
Proceedings 2024 IEEE International Conference on Autonomic Computing and Self Organizing Systems Companion Acsos C 2024, 2024
Envisioning Unpredictability in Smart Environments
Danilo Pianini, Barbara Re, Lorenzo Rossi, Franco Zambonelli
Internet of Things, 2024
Multi-Paradigm Integration for the BDI Resurgence
Danilo Pianini, Martina Baiardi, Samuele Burattini, Giovanni Ciatto
Proceedings 2024 IEEE International Conference on Autonomic Computing and Self Organizing Systems Companion Acsos C 2024, 2024
A Data-Driven Predictive Control Driver for Racing Car Simulation
Ruslan Shaiakhmetov, Danilo Pianini, Valter Venusti, Alessandro V. Papadopoulos
Proceedings IEEE International Symposium on Distributed Simulation and Real Time Applications Ds RT, 2024
A Reusable Simulation Pipeline for Many-Agent Reinforcement Learning
Davide Domini, Gianluca Aguzzi, Danilo Pianini, Mirko Viroli
Proceedings IEEE International Symposium on Distributed Simulation and Real Time Applications Ds RT, 2024
An Aggregate Vascular Morphogenesis Controller for Engineered Self-Organising Spatial Structures
Angela Cortecchia, Danilo Pianini, Giovanni Ciatto, Roberto Casadei
Proceedings 2024 IEEE International Conference on Autonomic Computing and Self Organizing Systems Acsos 2024, 2024
Space-Fluid and Time-Fluid Programming
Danilo Pianini, Roberto Casadei, Stefano Mariani, Gianluca Aguzzi, Mirko Viroli, Franco Zambonelli
Internet of Things, 2024
Concurrency Model of BDI Programming Frameworks: Why Should We Control It?
Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems Aamas, 2024
Decentralized Multi-Drone Coordination for Wildlife Video Acquisition
Denys Grushchak, Jenna Kline, Danilo Pianini, Nicolas Farabegoli, Gianluca Aguzzi, Martina Baiardi, Christopher Stewart
Proceedings 2024 IEEE International Conference on Autonomic Computing and Self Organizing Systems Acsos 2024, 2024
MADTECC 2024: 1st Workshop on Medical Applications with Digital Twins and Edge-cloud Continuum - Welcome and Committees
Lukas Esterle, Sara Montagna, Danilo Pianini
2024 IEEE International Conference on Pervasive Computing and Communications Workshops and Other Affiliated Events Percom Workshops 2024, 2024
Foreword: ACSOS 2021 Special Issue
Danilo Pianini, Vana Kalogeraki
ACM Transactions on Autonomous and Adaptive Systems, 2023
Runtime Load-Shifting of Distributed Controllers Across Networked Devices
Angelo Filaseta, Danilo Pianini
Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2023
Infrastructures for the Edge-Cloud Continuum on a Small Scale: A Practical Case Study
Martina Baiardi, Giovanni Ciatto, Danilo Pianini
Proceedings 2023 IEEE International Conference on Automatic Computing and Self Organizing Systems Companion Acsos C 2023, 2023
JaKtA: BDI Agent-Oriented Programming in Pure Kotlin
Martina Baiardi, Samuele Burattini, Giovanni Ciatto, Danilo Pianini
Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2023
Programming (and Learning) Self-Adaptive & Self-Organising Behaviour with ScaFi: for Swarms, Edge-Cloud Ecosystems, and More
Roberto Casadei, Gianluca Aguzzi, Danilo Pianini, Mirko Viroli
Proceedings 2023 IEEE International Conference on Automatic Computing and Self Organizing Systems Companion Acsos C 2023, 2023
Self-Organisation Programming: A Functional Reactive Macro Approach
Roberto Casadei, Francesco Dente, Gianluca Aguzzi, Danilo Pianini, Mirko Viroli
Proceedings 2023 IEEE International Conference on Autonomic Computing and Self Organizing Systems Acsos 2023, 2023
SPACE-FLUID ADAPTIVE SAMPLING BY SELF-ORGANISATION
Roberto Casadei, Stefano Mariani, Danilo Pianini, Mirko Viroli, Franco Zambonelli
Logical Methods in Computer Science, 2023
SCAFI: A Scala DSL and Toolkit for Aggregate Programming
Roberto Casadei, Mirko Viroli, Gianluca Aguzzi, Danilo Pianini
Softwarex, 2022
Dynamic Decentralization Domains for the Internet of Things
Gianluca Aguzzi, Roberto Casadei, Danilo Pianini, Mirko Viroli
IEEE Internet Computing, 2022
A Methodology and Simulation-Based Toolchain for Estimating Deployment Performance of Smart Collective Services at the Edge
Roberto Casadei, Giancarlo Fortino, Danilo Pianini, Andrea Placuzzi, Claudio Savaglio, Mirko Viroli
IEEE Internet of Things Journal, 2022
A Collective Adaptive Approach to Decentralised k-Coverage in Multi-robot Systems
Danilo Pianini, Federico Pettinari, Roberto Casadei, Lukas Esterle
ACM Transactions on Autonomous and Adaptive Systems, 2022
Message from the Special Event Chairs
Danilo Pianini
Proceedings 2022 IEEE International Conference on Autonomic Computing and Self Organizing Systems Companion Acsos C 2022, 2022
Message from the Special Event Chairs ACSOS 2022
Danilo Pianini, Studiorum A. M.
Proceedings 2022 IEEE International Conference on Autonomic Computing and Self Organizing Systems Acsos 2022, 2022
Self-stabilising Priority-Based Multi-Leader Election and Network Partitioning
Danilo Pianini, Roberto Casadei, Mirko Viroli
Proceedings 2022 IEEE International Conference on Autonomic Computing and Self Organizing Systems Acsos 2022, 2022
Digital twins, virtual devices, and augmentations for self-organising cyber-physical collectives
Roberto Casadei, Danilo Pianini, Mirko Viroli, Danny Weyns
Applied Sciences Switzerland, 2022
Space-Fluid Adaptive Sampling: A Field-Based, Self-organising Approach
Roberto Casadei, Stefano Mariani, Danilo Pianini, Mirko Viroli, Franco Zambonelli
Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2022
Towards Automated Engineering for Collective Adaptive Systems: Vision and Research Directions
Roberto Casadei, Danilo Pianini, Gianluca Aguzzi, Giorgio Audrito, Gianluca Torta, Marco Ottina, Ferruccio Damiani, Mirko Viroli
Proceedings of the 2022 IEEE International Conference on Dependable Autonomic and Secure Computing International Conference on Pervasive Intelligence and Computing International Conference on Cloud and Big Data Computing International Conference on Cyber Science and Technology Congress Dasc Picom Cbdcom Cyberscitech 2022, 2022
Optimal resilient distributed data collection in mobile edge environments
Giorgio Audrito, Roberto Casadei, Ferruccio Damiani, Danilo Pianini, Mirko Viroli
Computers and Electrical Engineering, 2021
Aggregate centrality measures for IoT-based coordination
Giorgio Audrito, Danilo Pianini, Ferruccio Damiani, Mirko Viroli
Science of Computer Programming, 2021
Simulation of Large Scale Computational Ecosystems with Alchemist: A Tutorial
Danilo Pianini
Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2021
Breaking down monoliths with Microservices and DevOps: An industrial experience report
Danilo Pianini, Alessandro Neri
Proceedings 2021 IEEE International Conference on Software Maintenance and Evolution Icsme 2021, 2021
Message from the Program Chairs ACSOS 2021
Danilo Pianini, Vana Kalogeraki
Proceedings 2021 IEEE International Conference on Autonomic Computing and Self Organizing Systems Acsos 2021, 2021
Message from the Program Chairs
Vana Kalogeraki
Proceedings 2021 IEEE International Conference on Autonomic Computing and Self Organizing Systems Companion Acsos C 2021, 2021
ScaFi-Web: A Web-Based Application for Field-Based Coordination Programming
Gianluca Aguzzi, Roberto Casadei, Niccolò Maltoni, Danilo Pianini, Mirko Viroli
Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2021
Engineering collective intelligence at the edge with aggregate processes
Roberto Casadei, Mirko Viroli, Giorgio Audrito, Danilo Pianini, Ferruccio Damiani
Engineering Applications of Artificial Intelligence, 2021
Towards Pulverised Architectures for Collective Adaptive Systems through Multitier Programming
Gianluca Aguzzi, Roberto Casadei, Danilo Pianini, Guido Salvaneschi, Mirko Viroli
Proceedings 2021 IEEE International Conference on Autonomic Computing and Self Organizing Systems Companion Acsos C 2021, 2021
TIME-FLUID FIELD-BASED COORDINATION THROUGH PROGRAMMABLE DISTRIBUTED SCHEDULERS
Danilo Pianini, Roberto Casadei, Mirko Viroli, Stefano Mariani, Franco Zambonelli
Logical Methods in Computer Science, 2021
Pulverization in cyber-physical systems: Engineering the self-organizing logic separated from deployment
Roberto Casadei, Danilo Pianini, Andrea Placuzzi, Mirko Viroli, Danny Weyns
Future Internet, 2020
On the Social Implications of Collective Adaptive Systems
Antonio Bucchiarone, Mirko D'Angelo, Danilo Pianini, Giacomo Cabri, Martina De Sanctis, Mirko Viroli, Roberto Casadei, Simon Dobson
IEEE Technology and Society Magazine, 2020
Partitioned integration and coordination via the self-organising coordination regions pattern
Danilo Pianini, Roberto Casadei, Mirko Viroli, Antonio Natali
Future Generation Computer Systems, 2020
Time-fluid field-based coordination
Danilo Pianini, Stefano Mariani, Mirko Viroli, Franco Zambonelli
Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2020
Field-based coordination with the share operator
Giorgio Audrito, Jacob Beal, Ferruccio Damiani, Danilo Pianini, Mirko Viroli
Logical Methods in Computer Science, 2020
From distributed coordination to field calculus and aggregate computing
Mirko Viroli, Jacob Beal, Ferruccio Damiani, Giorgio Audrito, Roberto Casadei, Danilo Pianini
Journal of Logical and Algebraic Methods in Programming, 2019
A development approach for collective opportunistic Edge-of-Things services
Roberto Casadei, Giancarlo Fortino, Danilo Pianini, Wilma Russo, Claudio Savaglio, Mirko Viroli
Information Sciences, 2019
Security in collective adaptive systems: A roadmap
Danilo Pianini, Roberto Casadei, Mirko Viroli
Proceedings 2019 IEEE 4th International Workshops on Foundations and Applications of Self Systems Fas W 2019, 2019
On context-orientation in aggregate programming
Roberto Casadei, Danilo Pianini, Guido Salvaneschi, Mirko Viroli
Proceedings 2019 IEEE 4th International Workshops on Foundations and Applications of Self Systems Fas W 2019, 2019
Modelling and simulation of Opportunistic IoT Services with Aggregate Computing
Roberto Casadei, Giancarlo Fortino, Danilo Pianini, Wilma Russo, Claudio Savaglio, Mirko Viroli
Future Generation Computer Systems, 2019
Democratic process and digital platforms: An engineering perspective
Danilo Pianini, Andrea Omicini
Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2019
Special track on next generation programming paradigms and systems
Proceedings of the ACM Symposium on Applied Computing, 2019
Preface
Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2019
Self-organising coordination regions: A pattern for edge computing
Roberto Casadei, Danilo Pianini, Mirko Viroli, Antonio Natali
Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2019
On a Higher-Order Calculus of Computational Fields
Giorgio Audrito, Mirko Viroli, Ferruccio Damiani, Danilo Pianini, Jacob Beal
Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2019
A higher-order calculus of computational fields
Giorgio Audrito, Mirko Viroli, Ferruccio Damiani, Danilo Pianini, Jacob Beal
ACM Transactions on Computational Logic, 2019
Aggregate processes in field calculus
Roberto Casadei, Mirko Viroli, Giorgio Audrito, Danilo Pianini, Ferruccio Damiani
Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2019
The share operator for field-based coordination
Giorgio Audrito, Jacob Beal, Ferruccio Damiani, Danilo Pianini, Mirko Viroli
Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2019
Case studies for a new IoT programming paradigm: Fluidware
Ceur Workshop Proceedings, 2019
Emerging Distributed Programming Paradigm for Cyber-Physical Systems over LoRaWANs
Danilo Pianini, Ahmed Elzanaty, Andrea Giorgetti, Marco Chiani
2018 IEEE Globecom Workshops GC Wkshps 2018 Proceedings, 2018
Transparent protection of aggregate computations from Byzantine behaviours via blockchain
Danilo Pianini, Giovanni Ciatto, Roberto Casadei, Stefano Mariani, Mirko Viroli, Andrea Omicini
ACM International Conference Proceeding Series, 2018
Spatial Tuples: Augmenting reality with tuples
Alessandro Ricci, Mirko Viroli, Andrea Omicini, Stefano Mariani, Angelo Croatti, Danilo Pianini
Expert Systems, 2018
Preface
Electronic Proceedings in Theoretical Computer Science Eptcs, 2018
Engineering resilient collective adaptive systems by self-stabilisation
Mirko Viroli, Giorgio Audrito, Jacob Beal, Ferruccio Damiani, Danilo Pianini
ACM Transactions on Modeling and Computer Simulation, 2018
From field-based coordination to aggregate computing
Mirko Viroli, Jacob Beal, Ferruccio Damiani, Giorgio Audrito, Roberto Casadei, Danilo Pianini
Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2018
Self-Stabilising Target Counting in Wireless Sensor Networks Using Euler Integration
Danilo Pianini, Simon Dobson, Mirko Viroli
Proceedings 11th IEEE International Conference on Self Adaptive and Self Organizing Systems Saso 2017, 2017
Practical Aggregate Programming with Protelis
Danilo Pianini, Jacob Beal, Mirko Viroli
Proceedings 2017 IEEE 2nd International Workshops on Foundations and Applications of Self Systems Fas W 2017, 2017
Towards a foundational API for resilient distributed systems design
Matteo Francia, Danilo Pianini, Jacob Beal, Mirko Viroli
Proceedings 2017 IEEE 2nd International Workshops on Foundations and Applications of Self Systems Fas W 2017, 2017
Self-adaptation to device distribution in the internet of things
Jacob Beal, Mirko Viroli, Danilo Pianini, Ferruccio Damiani
ACM Transactions on Autonomous and Adaptive Systems, 2017
Spatial tuples: Augmenting physical reality with tuple spaces
Alessandro Ricci, Mirko Viroli, Andrea Omicini, Stefano Mariani, Angelo Croatti, Danilo Pianini
Studies in Computational Intelligence, 2017
Combining self-organisation & autonomic computing in CASs with aggregate-MAPE
Mirko Viroli, Antonio Bucchiarone, Danilo Pianini, Jacob Beal
Proceedings IEEE 1st International Workshops on Foundations and Applications of Self Systems Fas W 2016, 2016
Self-Adaptation to Device Distribution Changes
Jacob Beal, Mirko Viroli, Danilo Pianini, Ferruccio Damiani
Proceedings IEEE 10th International Conference on Self Adaptive and Self Organizing Systems Saso 2016, 2016
Simulating large-scale aggregate MASs with alchemist and scala
Mirko Viroli, Roberto Casadei, Danilo Pianini
Proceedings of the 2016 Federated Conference on Computer Science and Information Systems Fedcsis 2016, 2016
On execution platforms for large-scale aggregate computing
Mirko Viroli, Roberto Casadei, Danilo Pianini
Ubicomp 2016 Adjunct Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2016
Spatial awareness in pervasive ecosystems
Simon Dobson, Mirko Viroli, Jose Luis Fernandez-Marquez, Franco Zambonelli, Graeme Stevenson, Giovanna Di Marzo Serugendo, Sara Montagna, Danilo Pianini, Juan Ye, Gabriella Castelli, Alberto Rosi
Knowledge Engineering Review, 2016
Improving gossip dynamics through overlapping replicates
Danilo Pianini, Jacob Beal, Mirko Viroli
Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2016
Extending the gillespie’s stochastic simulation algorithm for integrating discrete-event and multi-agent based simulation
Sara Montagna, Andrea Omicini, Danilo Pianini
Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2016
Computational fields meet augmented reality: Perspectives and challenges
Danilo Pianini, Angelo Croatti, Alessandro Ricci, Mirko Viroli
Proceedings 2015 IEEE 9th International Conference on Self Adaptive and Self Organizing Systems Workshops Sasow 2015, 2015
Efficient Engineering of Complex Self-Organising Systems by Self-Stabilising Fields
Mirko Viroli, Jacob Beal, Ferruccio Damiani, Danilo Pianini
International Conference on Self Adaptive and Self Organizing Systems Saso, 2015
A coordination model of pervasive service ecosystems
Mirko Viroli, Danilo Pianini, Sara Montagna, Graeme Stevenson, Franco Zambonelli
Science of Computer Programming, 2015
Aggregate Programming for the Internet of Things
Jacob Beal, Danilo Pianini, Mirko Viroli
Computer, 2015
Protelis: Practical aggregate programming
Danilo Pianini, Mirko Viroli, Jacob Beal
Proceedings of the ACM Symposium on Applied Computing, 2015
Developing pervasive multi-agent systems with nature-inspired coordination
Franco Zambonelli, Andrea Omicini, Bernhard Anzengruber, Gabriella Castelli, Francesco L. De Angelis, Giovanna Di Marzo Serugendo, Simon Dobson, Jose Luis Fernandez-Marquez, Alois Ferscha, Marco Mamei, Stefano Mariani, Ambra Molesini, Sara Montagna, Jussi Nieminen, Danilo Pianini, Matteo Risoldi, Alberto Rosi, Graeme Stevenson, Mirko Viroli, Juan Ye
Pervasive and Mobile Computing, 2015
A gillespie-based computational model for integrating event-driven and multi-agent based simulation
Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems Aamas, 2015
Code mobility meets self-organisation: A higher-order calculus of computational fields
Ferruccio Damiani, Mirko Viroli, Danilo Pianini, Jacob Beal
Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2015
Multi-agent systems meet aggregate programming: Towards a notion of aggregate plan
Mirko Viroli, Danilo Pianini, Alessandro Ricci, Pietro Brunetti, Angelo Croatti
Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2015
Distributed statistical analysis of complex systems modeled through a chemical metaphor
Danilo Pianini, Stefano Sebastio, Andrea Vandin
Proceedings of the 2014 International Conference on High Performance Computing and Simulation Hpcs 2014, 2014
HPC from a self-organisation perspective: The case of crowd steering at the urban scale
Danilo Pianini, Mirko Viroli, Franco Zambonelli, Alois Ferscha
Proceedings of the 2014 International Conference on High Performance Computing and Simulation Hpcs 2014, 2014
Predicting social density in mass events to prevent crowd disasters
Bernhard Anzengruber, Danilo Pianini, Jussi Nieminen, Alois Ferscha
Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2013
Combining self-organisation, context-awareness and semantic reasoning: The case of resource discovery in opportunistic networks
Graeme Stevenson, Juan Ye, Simon Dobson, Danilo Pianini, Sara Montagna, Mirko Viroli
Proceedings of the ACM Symposium on Applied Computing, 2013
Chemical-oriented simulation of computational systems with ALCHEMIST
D Pianini, S Montagna, M Viroli
Journal of Simulation, 2013
Gradient-based self-organisation patterns of anticipative adaptation
Sara Montagna, Danilo Pianini, Mirko Viroli
International Conference on Self Adaptive and Self Organizing Systems Saso, 2012
Towards a comprehensive approach to spontaneous self-composition in pervasive ecosystems
Ceur Workshop Proceedings, 2012
A model for drosophila melanogaster development from a single cell to stripe pattern formation
Sara Montagna, Danilo Pianini, Mirko Viroli
Proceedings of the ACM Symposium on Applied Computing, 2012
Pervasive ecosystems: A coordination model based on semantic chemistry
Mirko Viroli, Danilo Pianini, Sara Montagna, Graeme Stevenson
Proceedings of the ACM Symposium on Applied Computing, 2012
Linda in space-time: An adaptive coordination model for mobile ad-hoc environments
Mirko Viroli, Danilo Pianini, Jacob Beal
Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2012
A chemical inspired simulation framework for pervasive services ecosystems
2011 Federated Conference on Computer Science and Information Systems Fedcsis 2011, 2011
A simulation framework for pervasive services ecosystems
Ceur Workshop Proceedings, 2011
Self-organising pervasive ecosystems: A crowd evacuation example
Sara Montagna, Mirko Viroli, Matteo Risoldi, Danilo Pianini, Giovanna Di Marzo Serugendo
Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2011
Self organization in coordination systems using a WordNet-based ontology
Danilo Pianini, Sascia Virruso, Ronaldo Menezes, Andrea Omicini, Mirko Viroli
Proceedings 2010 4th IEEE International Conference on Self Adaptive and Self Organizing Systems Saso 2010, 2010

Danilo Pianini

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