Agent technology: foundations, applications, and markets
Agent technology: foundations, applications, and markets
On agent-based software engineering
Artificial Intelligence
An agent-based approach for building complex software systems
Communications of the ACM
Developing multi-agent systems with a FIPA-compliant agent framework
Software—Practice & Experience
Communication and Concurrency
Artificial Societies: The Computer Simulation of Social Life
Artificial Societies: The Computer Simulation of Social Life
Sociology and Social Theory in Agent Based Social Simulation: A Symposium
Computational & Mathematical Organization Theory
Coordination for Internet Application Development
Autonomous Agents and Multi-Agent Systems
XS-systems: eXtended S-Systems and Algebraic Differential Automata for Modeling Cellular Behavior
HiPC '02 Proceedings of the 9th International Conference on High Performance Computing
XS-systems: eXtended S-Systems and Algebraic Differential Automata for Modeling Cellular Behavior
HiPC '02 Proceedings of the 9th International Conference on High Performance Computing
Agent-Based Modeling vs. Equation-Based Modeling: A Case Study and Users' Guide
Proceedings of the First International Workshop on Multi-Agent Systems and Agent-Based Simulation
Coordination as Comstrainted Interaction (Extended Abstract)
COORDINATION '96 Proceedings of the First International Conference on Coordination Languages and Models
Modeling Cellular Behavior with Hybrid Automata: Bisimulation and Collapsing
CMSB '03 Proceedings of the First International Workshop on Computational Methods in Systems Biology
The RETSINA MAS Infrastructure
Autonomous Agents and Multi-Agent Systems
Understanding Agent Systems
Challenges and Research Directions in Agent-Oriented Software Engineering
Autonomous Agents and Multi-Agent Systems
Coordination Artifacts: Environment-Based Coordination for Intelligent Agents
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 1
Verification of Multiagent Systems via Unbounded Model Checking
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 2
An agent-based approach to tool integration
International Journal on Software Tools for Technology Transfer (STTT) - Special section on tool integration applications and frameworks
Theoretical Computer Science - Special issue: Computational systems biology
BioAmbients: an abstraction for biological compartments
Theoretical Computer Science - Special issue: Computational systems biology
Environment-based coordination through coordination artifacts
E4MAS'04 Proceedings of the First international conference on Environments for Multi-Agent Systems
Abstract machines of systems biology
Transactions on Computational Systems Biology III
CMSB'04 Proceedings of the 20 international conference on Computational Methods in Systems Biology
Hermes: agent-based middleware for mobile computing
SFM-Moby'05 Proceedings of the 5th international conference on Formal Methods for the Design of Computer, Communication, and Software Systems: mobile computing
Agent-based modelling of stem cell self-organisation in a niche
Engineering Self-Organising Systems
A&A for modelling and engineering simulations in Systems Biology
International Journal of Agent-Oriented Software Engineering
Validating MAS simulation models with mutation
Multiagent and Grid Systems - Multi-agent systems for medicine, computational biology, and bioinformatics
StonyCam: A Formal Framework for Modeling, Analyzing and Regulating Cardiac Myocytes
Concurrency, Graphs and Models
An overview of AI research in Italy
Artificial intelligence
Multi-agent model of hepatitis C virus infection
Artificial Intelligence in Medicine
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Recently, a collective effort from multiple research areas has been made to understand biological systems at the system level. On the one hand, for instance, researchers working on systems biology aim at understanding how living systems routinely perform complex tasks. On the other hand, bioscientists involved in pharmacogenomics strive to study how an individual's genetic inheritance affects the body's response to drugs. Among the many things, research in the above disciplines requires the ability to simulate particular biological systems as cells, organs, organisms and communities. When observed according to the perspective of system simulation, biological systems are complex ones, and consist of a set of components interacting with each other and with an external (dynamic) environment. In this work, we propose an alternative way to specify and model complex systems based on behavioral modelling. We consider a biological system as a set of active computational components interacting in a dynamic and often unpredictable environment. Then, we propose a conceptual framework for engineering computational systems simulating the behaviour of biological systems, and modelling them in terms of agents and agent societies.