Download Agent and Multi-Agent Systems: Technologies and by Luigi Sauro, Leendert van der Torre, Serena Villata (auth.), PDF

By Luigi Sauro, Leendert van der Torre, Serena Villata (auth.), Anne Håkansson, Ngoc Thanh Nguyen, Ronald L. Hartung, Robert J. Howlett, Lakhmi C. Jain (eds.)

This e-book constitutes the court cases of the 3rd overseas Symposium on Agent and Multi-Agent structures: applied sciences and functions, held in Uppsala, Sweden, in the course of June 3-5, 2009.

The 86 papers contained during this quantity have been rigorously reviewed and chosen from various submissions. There are thirteen major tracks protecting the technique and purposes of agent and multi-agent platforms and eight targeted classes on particular issues in the box.

The papers are divided in topical sections on social and organizational buildings of brokers; negotiation protocols; cellular brokers and robots; agent layout and implementation; e-commerce; simulation platforms and online game structures; agent structures and ontologies; brokers for community structures; verbal exchange and agent studying platforms; net prone and semantic internet; self-organization in multi-agent platforms; administration and e-business; cellular and clever brokers for networks and prone; engineering interplay protocols; agent-based simulation, selection making and platforms optimization; electronic economic system; agent-based optimization (ABO2009); dispensed structures and synthetic intelligence functions.

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Read or Download Agent and Multi-Agent Systems: Technologies and Applications: Third KES International Symposium, KES-AMSTA 2009, Uppsala, Sweden, June 3-5, 2009. Proceedings PDF

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Additional info for Agent and Multi-Agent Systems: Technologies and Applications: Third KES International Symposium, KES-AMSTA 2009, Uppsala, Sweden, June 3-5, 2009. Proceedings

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Danger theory-inspired Multi-agent artificial immune system (MAAIS) is applied to intrusion detection systems (IDS). Antigens are profiles of system calls while corresponding behaviors are regarded as signals. The intelligence behind such system is based on the danger theory while dentricit cells agents (DC agent) are emulated for innate immune subsystem and artificial T-cell agents (TC agent) are for adaptive immune subsystem. This IDS is based on the dual detections of DC agent for signals and TC agent for antigen, where each agent coordinates with other to calculate danger value (DV).

A) Ants birth/death process (b) Food creation process 22 M. Hamada Area of feeling pheromone Area of possible food Ant Fig. 2. Ant, food and pheromone positions New food can also be created in the environment. After initializing the food, at a certain time t, if the amount of food Ft is less than the maximum amount of food Fmax then, a new food is created at some random position in the environment, see the flowchart in Figure 1(b). An ant anti has a life cycle Li, when Li = 0, anti dies. An ant at a position p can find food in some of the surrounding four positions and can fell and affected by the pheromone in the surrounding twelve positions as shown in Figure 2.

In Section 3 we present the SA algorithm for coalition formation. In Section 4 we present the experimental results. We conclude in Section 5. 2 Coalition Formation in Characteristic Function Games We study coalition formation in characteristic function games (CFGs) [4,8,11] and we use the following standard notation. Let A = {a1 , a2 , . . , an } be the set of agents. e. S ⊆ A such that S = ∅. In CFGs a characteristic function v : 2A → IR assigns a real value to each coalition S which is called the worth of S.

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