Titlebook: Cooperative Information Agents; First International Peter Kandzia,Matthias Klusch Conference proceedings 1997 Springer-Verlag Berlin Heide

管玄樂團(tuán)

書目名稱Cooperative Information Agents影響因子(影響力)




書目名稱Cooperative Information Agents影響因子(影響力)學(xué)科排名




書目名稱Cooperative Information Agents網(wǎng)絡(luò)公開度




書目名稱Cooperative Information Agents網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Cooperative Information Agents被引頻次




書目名稱Cooperative Information Agents被引頻次學(xué)科排名




書目名稱Cooperative Information Agents年度引用




書目名稱Cooperative Information Agents年度引用學(xué)科排名




書目名稱Cooperative Information Agents讀者反饋




書目名稱Cooperative Information Agents讀者反饋學(xué)科排名

Ovulation

HALL

Estimation of Population Density new supervised learning law that tunes this matching measure with new sample data. Then we test the fuzzy agent profile system on object spaces of flowers and sunsets and test the fuzzy agent matching system on an object space of sunset images.

合并

Media Preparation and Culture Techniqueshis methodology, a multi-strategy and cooperative discovery system, which can be imagined as a . and is named GLS (Global Learning Scheme), has being developing by us. This paper briefly describes our methodology and the framework of our GLS system.

paradigm

Identification of Wine Microorganismsnd deliver better solutions at a shorter time. The framework is designed to work with new and existing MAS. Our high order agency approach also does not introduce unreasonable complexities in developing new MAS. This paper presents a high-level description of the framework design.

Charade

Charade

Enriching active databases with agent technology,ook into the benefits stronger agency can bring to an active database. It turns out that these are mainly found in the increased flexibility facilitated by the reasoning abilities strong agency implies. For example, an agent can have multiple strategies to maintain a constraint instead of a one fixed strategy defined by triggers.

怪物

Neural fuzzy agents for database search, new supervised learning law that tunes this matching measure with new sample data. Then we test the fuzzy agent profile system on object spaces of flowers and sunsets and test the fuzzy agent matching system on an object space of sunset images.

Range-Of-Motion

爵士樂

Approaching interoperability for heterogenous multiagent systems using high order agencies,nd deliver better solutions at a shorter time. The framework is designed to work with new and existing MAS. Our high order agency approach also does not introduce unreasonable complexities in developing new MAS. This paper presents a high-level description of the framework design.