搜索资源列表
mason
- MASON代表多主体邻里或网络仿真(Multi-Agent Simulator of Neighborhoods or Networks)。它是乔治梅森大学用Java开发的离散事件多主体仿真核心库，具有快速、灵活和便携的特点。它本身支持轻量级的模拟需求，自含模型可以嵌入到其他Java应用当中，还可以选择2D和3D图形显示。-represent more or main Neighborhood Network Simulation (Multi-Agent Simulat or of Neigh
JADE-all-3[1].4
- 用以开发多代理系统的绝好工具，远吗均由java编写，使用方便：）-used to develop multi-agent system an excellent tool, much java? Were prepared, easy to use :)
MAS-based_expert_system_development_tool
- 结合分布式人工智能理论和面向对象及面向智能体技术，给出基于MAS（ Multi-agent System）的专家系统开发工具的系统结构和 设计，并描述了系统中的知识通信语言和协作机制。采用Java语言，在分布式网络环境下，实现了该工具的原型系统。用该工具开发了一个基于MAS的协作中医诊断专家系统，运行效果良好。 -MAS-based expert system development tool
TeamBots
- TeamBots 是一个可移植的多代理机器人仿真器，它可以支持动态环境中多代理控制系统的仿真，并可以提供可视化功能。-TeamBots is a portable multi-agent robot simulator, which can support a dynamic environment control system of multi-agent simulation, and can provide visualization capabilities.
Multiagent_Systems_and_Distributed_AI
- 介绍分布式人工智能的不错的入门书籍，主要利用分布式人工智能技术来构建multi－agent系统-Distributed artificial intelligence good introduction introductory books, the main use of distributed artificial intelligence technologies to build multi-agent system ... ...
DEAgent-algorithm
- 通过DE agent求解各种约束函数优化问题-This source code is discrible the DE agent that is for solving constrained numerical optimization problems.
TestTC5_SendingMessagesComplicated
- 利用terracotta进行agent的分配,agent之间能互发信息-implement the assigning of the agent, use agent to send and receive messages
Main
- AI Reinforcement Learning 走格子， 输出每1000步达到目标格子次数。reward: goal-> +1 rest -> 0.-Java implementation for an Reinforcement Learning agent to search through a Grid World from start point to goal state. reward: goal->+1 rest-> 0.
Agent-src-JADE
- 实现三个Agent（消防员、医护员、警察），展示了当意外事件发生时候，Agent之间协调的作用-Achieve three Agent (firefighters, medical workers, police), shows the time when the accident occurred, Agent coordination role between the
ASM-2.4.1.tar
- 经典的swarm for java 多智能体仿真代码-Classic swarm for java multi-agent simulation code
napping
- 非参数政策梯度的napping机制的java代码参考文献：Qing Da, Yang Yu, and Zhi-Hua Zhou. Napping for Functional Representation of Policy. In: Proceedings of the 2014 International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS 14), Paris, France, 2014.-This
JADE-all-4.3.2
- JAVA多代理系统开发平台(JADE)4.3.2版本(2014年9月的最新版本)的原代码.-The complete source code of JAVA Agent Development Platform (JADE), version 4.3.2 (newest at Sept 2014).