Agent intelligence through data mining by Andreas L. Symeonidis

By Andreas L. Symeonidis

Wisdom, hidden in voluminous information repositories usually created and maintained via todays purposes, should be extracted through info mining. the next move is to remodel this chanced on wisdom into the inference mechanisms or just the habit of brokers and multi-agent platforms. Agent Intelligence via information Mining addresses this factor, in addition to the debatable problem of producing intelligence from facts whereas shifting it to a separate, most likely self sustaining, software program entity. This e-book incorporates a technique, instruments and methods, and a number of other examples of agent-based functions constructed with this process. This quantity focuses in general at the use of knowledge mining for smarter, extra effective brokers.

Show description

Read or Download Agent intelligence through data mining PDF

Best data modeling & design books

Database Modeling and Design: Logical Design

Database structures and database layout expertise have gone through major evolution in recent times. The relational information version and relational database platforms dominate enterprise functions; in flip, they're prolonged by means of different applied sciences like information warehousing, OLAP, and information mining. How do you version and layout your database software in attention of latest expertise or new company wishes?

Crystal Reports 2008 The Complete Reference

Your One-Stop advisor to firm Reporting with Crystal experiences 2008Transform disconnected company facts into compelling, interactive company intelligence utilizing all the robust instruments on hand in Crystal stories 2008. via special motives, real-world examples, and professional recommendation, this finished consultant indicates you the way to create, hold, and distribute dynamic, visually beautiful company database reviews.

Introduction to Pattern Recognition: A Matlab Approach

An accompanying handbook to Theodoridis/Koutroumbas, trend reputation, that incorporates Matlab code of the most typical tools and algorithms within the publication, including a descriptive precis and solved examples, and together with real-life facts units in imaging and audio reputation. *Matlab code and descriptive precis of the commonest equipment and algorithms in Theodoridis/Koutroumbas, development attractiveness 4e.

Data Structures and Algorithms with JavaScript: Bringing classic computing approaches to the Web

As an skilled JavaScript developer relocating to server-side programming, you must enforce vintage info constructions and algorithms linked to traditional object-oriented languages like C# and Java. This functional consultant exhibits you the way to paintings hands-on with various garage mechanisms—including associated lists, stacks, queues, and graphs—within the restrictions of the JavaScript surroundings.

Additional resources for Agent intelligence through data mining

Sample text

When intelligence is introduced, things get more complicated, since a nontrivial part of 42 AGENT INTELLIGENCE THROUGH DATA MINING the research community believes that true intelligence is not feasible [Nwana, 1995]. Nevertheless, "intelligence" refers to computational intelligence and should not be confused with human intelligence [Knapik and Johnson, 1998]. A fundamental agent feature is the degree of autonomy. Moreover, agents should have the ability to communicate with other entities (either similar or dissimilar agents) and should be able to exchange information, in order to reach their goal.

When intelligence is introduced, things get more complicated, since a nontrivial part of 42 AGENT INTELLIGENCE THROUGH DATA MINING the research community believes that true intelligence is not feasible [Nwana, 1995]. Nevertheless, "intelligence" refers to computational intelligence and should not be confused with human intelligence [Knapik and Johnson, 1998]. A fundamental agent feature is the degree of autonomy. Moreover, agents should have the ability to communicate with other entities (either similar or dissimilar agents) and should be able to exchange information, in order to reach their goal.

The logic paradigm they employ, which classifies them as either deliberative or reactive iii. The fundamental characteristic that describes the agent (autonomy, cooperativity, learning). 1). The combination of two or more of the above approaches classifies agents as hybrid, leading to mobile deliberative collaborative agents, static reactive collaborative agents, static deliberative interface agents, mobile reactive interface agents, etc. , competitiveness, trustworthiness, benevolence etc.

Download PDF sample

Rated 4.25 of 5 – based on 37 votes