Titlebook: Artificial Intelligence in Theory and Practice II; IFIP 20th World Comp Max Bramer Conference proceedings 2008 IFIP International Federatio

陰謀小團(tuán)體

A Light-Weight Multi-Agent System Manages 802.11 Mesh Networksmesh networks can be extremely large the two main challenges are the scalability and stability of the solution. The basic approach is that of a distributed, light-weight, co-operative multiagent system that guarantees scalability. As the solution is distributed it is unsuitable to achieve any global

Badger

Decisions with multiple simultaneous goals and uncertain causal effectspeting approaches to build decision-making agents are either mental-state based as BDI, or founded on decision-theoretic models as MDP. The BDI chooses heuristically among several goals and the MDP searches for a policy to achieve a specific goal. In this paper we develop a preferences model to deci

Suggestions

Agent Based Frequent Set Meta Mining: Introducing EMADS; explore the capabilities of such agents and demonstrate (by experiment) their application to data mining on distributed data. Although, EMADS is not restricted to one data mining task, the study described here, for the sake of brevity, concentrates on agent based Association Rule Mining (ARM), in

倒轉(zhuǎn)

On the evaluation of MAS development toolsenvironments to develop multiagent systems (MAS) and choosing between one framework or another is a difficult task. The main contributions of this paper are: (1) a brief analysis of the state of the art in the evaluation of MAS engineering; (2) a complete list of criteria that helps in the evaluatio

強(qiáng)制令

Information-Based Planning and Strategiesg mechanism manages interaction using plans and strategies in the context of the relationships the agent has with other agents, and is the means by which those relationships develop. Finally strategies are described that employ the deliberative mechanism and manage argumentative dialogues with the a

ANT

Teaching Autonomous Agents to Move in a Believable Manner within Virtual Institutionstars in normative 3D Virtual Worlds called Virtual Institutions. It presents a method for implicit training of autonomous agents in order to “believably” represent humans in Virtual Institutions. The proposed method does not require any explicit training efforts from human participants. The contribu

Mobile

Mining Fuzzy Association Rules from Composite Itemsmber of values derived from a common schema. We partition the values associated to properties into fuzzy sets in order to apply fuzzy Association Rule Mining (ARM). This paper describes the process of deriving the fuzzy sets from the properties associated to composite items and a unique Composite Fu

Anticoagulants

寒冷

Applying Data Mining to the Study of Josekie considered fair for both players. We give an algorithm that finds and catalogues as many joseki as it can, as well as the global circumstances under which they are likely to be played, by analyzing a large number of professional go games. The method used applies several concepts, e.g., prefix tree

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