网站综合信息 multiagent.com
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- Multiagent Systems and Agent-Based Mod
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- Where game theory, artificial intelligence, and the semantic web meet.
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- 域名年龄:26年4个月6天 注册日期:1998年12月15日 到期时间:2016年12月14日
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注册商:NETWORK SOLUTIONS, LLC.
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multiagent.com
域名年龄: 26年4个月6天注册时间: 1998-12-15
到期时间: 2016-12-14
注 册 商: NETWORK SOLUTIONS, LLC.
注册邮箱: abuse
联系电话: +1.8003337680
获取时间: 2015年07月21日 19:19:23
Domain Name: MULTIAGENT.COM
Registrar: NETWORK SOLUTIONS, LLC.
Sponsoring Registrar IANA ID: 2
Whois Server: whois.networksolutions.com
Referral URL: http://networksolutions.com
Name Server: NS49.WORLDNIC.COM
Name Server: NS50.WORLDNIC.COM
Status: clientTransferProhibited http://www.icann.org/epp#clientTransferProhibited
Updated Date: 2014-10-15
Creation Date: 1998-12-15
Expiration Date: 2016-12-14
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Domain Name: MULTIAGENT.COM
Registry Domain ID: 3749128_DOMAIN_COM-VRSN
Registrar WHOIS Server: whois.networksolutions.com
Registrar URL: http://networksolutions.com
Updated Date: 2015-01-28T23:43:50Z
Creation Date: 1998-12-15T05:00:00Z
Registrar Registration Expiration Date: 2016-12-14T05:00:00Z
Registrar: NETWORK SOLUTIONS, LLC.
Registrar IANA ID: 2
Registrar Abuse Contact Email: abuse
Registrar Abuse Contact Phone: +1.8003337680
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Registrant Name: Jose M. Vidal
Registrant Organization: Jose M. Vidal
Registrant Street: 1100 Wheat St. Apt 712
Registrant City: Columbia
Registrant State/Province: SC
Registrant Postal Code: 29201
Registrant Country: US
Registrant Phone: +1.8037770928
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Registrant Email: vidal
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Admin Name: Vidal, Jose
Admin Organization: Swearingen Engineering Center, CSE
Admin Street: 32 RUNNING FOX RD
Admin City: COLUMBIA
Admin State/Province: SC
Admin Postal Code: 29223-3050
Admin Country: US
Admin Phone: (803) 777-0928
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Tech Organization: eBiz.net, Inc.
Tech Street: 400 Continental Boulevard, 6th Floor
Tech City: El Segundo
Tech State/Province: CA
Tech Postal Code: 90266
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网址:http://multiagent.com/
标题:Multiagent Systems and Agent-Based Modeling
关键字:
描述:Where game theory, artificial intelligence, and the semantic web meet.
主体:
网址:http://multiagent.com/
标题:Multiagent Systems and Agent-Based Modeling
关键字:
描述:Where game theory, artificial intelligence, and the semantic web meet.
主体:
Multiagent Systems and Agent-Based ModelingHome to the "Fundamentals of Multiagent Systems Using NetLogo" Textbook.Saturday, March 23, 2013Final ProjectFor the final project you have the option of a programming-oriented or a research-oriented final project. Whichever project you decide to do you must first meet with me to get it approved.Programming ProjectChoose a paper from the AAMAS proceedings (see also my AAMAS 2012 local copy, because their website is down a lot) and implement the algorithm they describe. In many cases you will need to make some simplifying assumptions. The papers discuss in class are especially good choices.Or, you can also choose to implement any of the algorithms referenced in the our textbook that are not already implemented, or provide better visualizations of existing algorithms (for didactic purpose).Another, very popular, option is to build a NetLogo simulation of a multiagent problem in a separate domain, one which you are already familiar with, say, because you are doing a PhD thesis on that problem. Research ProjectYour deliverable will be a paper that summarizes exisiting research on a specific topic, with appropriate citations, andeither presents a new algorithm/protocol/etc. along the same lines or organizes these results in a novel way (think "survey paper").The final paper should be at least 10 pages long. I will be looking to see that you understand the topic at hand and how the various contributions relate to each other. You will be looking at papers beyond the above conferences.The final projects are due Wednesday May 1.Posted byJose Vidalat9:33 AMLabels:homeworkWednesday, February 27, 2013Evolutionary DynamicsReplicator Dynamics are a math formula meant to simplify the dynamics of evolution. But, we can code, we don't have to simplify.In this video I show how to simulate simple evolutionary dynamics with more detail than before. The program, it turns out, is simpler than before.Posted byJose Vidalat6:00 AMLabels:lectureTuesday, February 26, 2013Replicator Dynamics ImplementationIn tomorrow's lecture I will be talking about replicator dynamics in games. The video below shows you how to implement it:Posted byJose Vidalat1:22 PMLabels:lectureSaturday, February 23, 2013Fictitious PlayNext week we will finish with cooperative games and start with 'learning in games'.Fictitious play is very easy and fun to implement in NetLogo. See how in this video:Posted byJose Vidalat7:21 AMLabels:lectureThursday, February 21, 2013Preferential Attachement Graphs and Stochastic ChoiceI noticed in the last homework that some of you had problems getting a preferential attachment graph to work, or making stochastic choice. The video below shows how to do this. This will also be useful for HW3.The code I wrote in that video is prefattachvideo.nlogo.Posted byJose Vidalat10:23 AMLabels:lectureWednesday, February 20, 2013HW3: Stability in Cooperative GamesWe have discussed cooperative games, the core, the nucleolus, and excess. For
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