Distributing intelligence within an individual
Distributed artificial intelligence: vol. 2
Using MPI (2nd ed.): portable parallel programming with the message-passing interface
Using MPI (2nd ed.): portable parallel programming with the message-passing interface
Numerical Recipes in C++: the art of scientific computing
Numerical Recipes in C++: the art of scientific computing
Coordination of Distributed Problem Solvers
Coordination of Distributed Problem Solvers
Using MPI-2: Advanced Features of the Message Passing Interface
Using MPI-2: Advanced Features of the Message Passing Interface
A Roadmap of Agent Research and Development
Autonomous Agents and Multi-Agent Systems
Testing parallel random number generators
Parallel Computing
Theory of cellular automata: a survey
Theoretical Computer Science
Optimisation and parallelisation strategies for Monte Carlo simulation of HIV infection
Computers in Biology and Medicine
Strategies of cooperation in distributed problem solving
IJCAI'83 Proceedings of the Eighth international joint conference on Artificial intelligence - Volume 2
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This study focuses on trying to understand why the range of experience with respect to HIV infection is so diverse, especially as regards to the latency period. The challenge is to determine what assumptions can be made about the nature of the experience of antigenic invasion and diversity that can be modelled, tested and argued plausibly. To investigate this, an agent-based approach is used to extract high-level behaviour which cannot be described analytically from the set of interaction rules at the cellular level. A prototype model encompasses local variation in baseline properties contributing to the individual disease experience and is included in a network which mimics the chain of lymphatic nodes. Dealing with massively multi-agent systems requires major computational efforts. However, parallelisation methods are a natural consequence and advantage of the multi-agent approach. These are implemented using the MPI library.