Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
Negotiation as a metaphor for distributed problem solving
Distributed Artificial Intelligence
Forming coalitions in the face of uncertain rewards
AAAI '94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 1)
Intelligent agents in computer games
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
Coalition formation with uncertain heterogeneous information
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
On cooperation in multi-agent systems
The Knowledge Engineering Review
Organizational structures supported by agent-oriented methodologies
Journal of Systems and Software
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Intelligent agents play an important role in computer games. Research on intelligent agent architecture, knowledge representation, goal-directed behavior are all directly relevant to improving the intelligent agents in computer games [9]. Agents are suitable to model and develop characters in computer games. To form an agent team in a computer game environment is extremely difficult. In this paper, a Naive Bayesian model is proposed for agent based characters to form teams. This approach brings a new angle for us to solve the connection problem for agents to work collaboratively in a dynamic and open environment, such as computer games.