Abstract not found

goods) and in this paper we want to deploy an equivalent system as a distributed application. There are two notable problems with the simulation-first, application-second approach: (i) the simulation cannot reasonably take account of network effects, and (ii) how to recreate in a distributed application

this analysis to the multi-unit case, and also analyzing the multi-unit sealed-bid auctions in which a combination of these issues are present. In this paper, we present the initial results of this work. More specifically, we present the equilibria that exist in multi-unit sealed-bid auctions, when either

High-dose recombinant leukocyte A interferon (50 x 10 6 U/m2 body surface area, intramuscularly, three times weekly) was tested in a clinical trial involving patients with advanced cutaneous T-cell lymphomas to determine its effectiveness and toxicity. All 20 patients had advanced stages of disease refractory to two or more standard therapies. Objective partial remissions lasting 3 months to more than 25 months (median, 5 months) were documented in 9 patients. The major dose-limiting toxicity was a severe influenza-like syndrome with malaise, anorexia, depression, weight loss, and decreased performance status; this effect was reversible after dose reductions in all patients and did not recur with re-escalation of doses in 10 patients. This interferon preparation is highly effective in the treatment of

Simian virus 40 and human pleural mesothelioma

Acquiring educational access for neurodiverse learners through multisensory design principles

We present a prototype of agent-based intrusion detection system designed for deployment on high-speed backbone networks. The main contribution of the system is the integration of several anomaly detection techniques by means of collective trust modeling within a group of collaborative detection agents, each featuring a specific detection algorithm. The anomalies are used as an input for the trust modeling. In this stage, each agent determines the flow trustfulness from aggregated anomalies. The aggregation is performed by extended trust models that model the trustfulness of generalized situated identities, represented by a set of observable features. The system is based on traffic statistics in NetFlow format acquired by dedicated hardware-accelerated network cards, and is able to perform a real-time surveillance of the gigabit networks.

This research explores productive multi-player games as a platform for human-computer agent collaboration. A multiagent perspective is taken to examine the principles of both gameplay and mechanism design for productive games. To engage human players in sustained gameplay, the game agents are designed with the flow and dramatic principles. To ensure productivity, the game mechanism is designed such that rational agents, both human and software, will follow the target strategy to reach subgame perfect equilibrium. The design principles are demonstrated and evaluated using PhotoSlap, a multi-player productive game for photo annotation.

We study the problem of agents locating other agents that are both capable and willing to help complete assigned tasks. An agent incurs a fixed cost for each help request it sends out. To minimize this cost, the performance metric used in our work, an agent should learn based on past interactions to identify agents likely to help on a given task. We compare three trust mechanisms: success-based, learning-based, and random. We also consider different agent social attitudes: selfish, reciprocative, and helpful. We evaluate the performance of these social attitudes with both homogeneous and mixed societies. Our results show that learning-based trust decisions consistently performed better than other schemes. We also observed that the success rate is significantly better for reciprocative agents over selfish agents. on the task at hand, and the asking agent must be able to

free pseudo-tree