Growing artificial societies: social science from the bottom up
Growing artificial societies: social science from the bottom up
Swarm intelligence: from natural to artificial systems
Swarm intelligence: from natural to artificial systems
The FTA design paradigm for distributed systems
Future Generation Computer Systems - Special issue on distributed and parallel systems
Computer
Resource Allocation in Distributed Factory Scheduling
IEEE Expert: Intelligent Systems and Their Applications
The Contract Net Protocol: High-Level Communication and Control in a Distributed Problem Solver
IEEE Transactions on Computers
Context-Aware Computing Applications
WMCSA '94 Proceedings of the 1994 First Workshop on Mobile Computing Systems and Applications
Advancing the Layered Approach to Agent-Based Crowd Simulation
Proceedings of the 22nd Workshop on Principles of Advanced and Distributed Simulation
Evaluation and comparison of multi-agent based crowd simulation systems
Agents for games and simulations II
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In this paper, an innovative application of scheduling methodology is advocated for the emerging service, which is named “social coordination” in the ubiquitous information environments. A typical service expected in ubiquitous computing is information provision adapted to each user’s current situation. The service is supposed to increase a single person’s convenience. However, a new type of service (“social coordination”) is also possible for improving conveniences of the people sharing the ubiquitous information environment. The author explains the concept of “ubiquitous scheduling” that eludes congestions in the society by scheduling people’s activities efficiently and rationally. To evaluate effectiveness of the concept, a multi-agent scheduler for an amusement park problem is implemented, which coordinates the demands for rides by tens of thousands people and makes suggestions as to when they should visit attractions in the amusement park to avoid standing in long lines.