2679883
Observation-based proactive communication in team cooperation
Observation and communication are important aspects of agent teamwork. We employ the agent's observability as the major means for individual agents to reason about the environment and other team members. We focus on how to represent agents' observability and how to include it into the basic reasoning for proactive communication. The syntax and the operational semantics of observability are given. Preliminary experiments are carried out to study the effectiveness of different aspects of observability.
759478
A New Load Balancing Scheme for Distributed Multi-Agent Simulations
Disclosed is a heat sink clip assembly for releaseably attaching a heat sink to a DIP or similar electronic device package. The clip assembly includes a non-conductive attachment clip which extends between the leads on the underside of the DIP and means for latching the attachment clip to a heat sink disposed adjacent the opposite side of the electronic device package with the heat sink in intimate thermal contact with the electronic device package.
13218093
Notice of Violation of IEEE Publication PrinciplesAchieving flexible task delegation in role-based agent teams
Teamwork has become increasingly important to many disciplines. In our opinion, an effective design of a teamwork language should be able to handle unexpected uncertainties and allow for the conceptual specification of teamwork knowledge for reuse. This paper introduces RoB-MALLET, a teamwork language based on the concepts of role and role variable. An important characteristic of our notion of role is that it includes the specific operations that an agent filling the role must perform in a specific setting as well as their ordering constraints. Taking this view on the definition of role has enabled us to present the responsibility of roles, to reason about the assignment of real agents to roles, and to achieve a certain level of plan reusability. Finally, we present several experiments that explore plan reusability of RoB-MALLET, show that it is flexible in supporting simultaneity of invocation and evaluate its efficiency in supporting teamwork.
2933762
Simulating human intuitive decisions by Q-learning
Simulations have become a great tool for research in the natural sciences. However their potential has not been reached far enough in the social sciences. This is in part due to the difficulty in simulating human decision making and reproducing human-like behavior. Recent advances in neo-classical decision making have defined specific differences between the decision making capabilities of rational agents and humans as well as speculations into the cause. Presented is a Q-learning model for simulating human-like decision making based upon the intuition deliberation model proposed by psychologists Kahneman and Tversky. The model is tested against the classic economic bargaining game. In this game humans and rational agents consistently converge onto distinctly different strategies. Our experiments show that a selfish agent defers from the strategy of the rational agent and is more similar to human strategy.
14192001
Emergence of Social Norms in Complex Networks
This paper studies the problem that how social norms emerge even though agents are selfish and attempt to only maximize their own utility. We propose a new rule for social interactions. The rule is called Highest Rewarding Neighborhood (HRN). The HRN rule allows agents to remain selfish and be able to break relationships in order to maximize their utility. Our experiment shows that when agents are able to break unrewarding relationships that a Pareto-optimum strategy arises as the social normal. In addition we conclude the rate and amount of Pareto-optimum strategy that arises is dependent on the network structure when the networks are dynamic, and the rate is independent of the network structure when the networks are static.
14143063
Forming Proactive Team Cooperation by Observations
Proactivity is the ability to take initiative by exhibiting goal-directed behavior. Agents with proactivity can respond to dynamic environment in a timely way. Hence the ability to anticipate the information needs of teammates and assist them proactively is highly desirable. This research is directed toward helping agents produce effective communication through observations. We show how agents can use observation to estimate the teammates' beliefs and proactively provide the information that the teammates need. We present two experiments that explore: 1) effectiveness of different aspects of observability; 2) scalability of using observability with respect to the number of agents in a team.
18873066
Extending Online Travel Agency with Adaptive Reservations
Current online ticket booking systems either do not allow customers to reserve a ticket with a locked price, or grant a fixed reservation timespan, typically 24 hours. The former often leads to false availability: when a customer decides to purchase a ticket after a few queries, she finds that either the ticket is no longer available or the price has hiked up. The latter, on the other hand, may result in unnecessary holdback: a customer cannot purchase a ticket because someone else is holding it, who then cancels the reservation after an excessively long period of time. False availability and holdback routinely lead to loss of revenues, credibility and above all, customers. To rectify these problems, this paper introduces a transaction model for e-ticket systems to support a reservation functionality: customers can reserve tickets with a locked price, for a timespan that is determined by the demands on the tickets, rather than being fixed for all kinds of the tickets. We propose a method for implementing the model, based on hypothetical queries and triggers. We also show how to adjust the reservation timespan w.r.t. demands. We experimentally verify that our model and methods effectively reduce both false availability and holdback rates. These yield a practical approach to improving not only e-ticket systems but also other e-commerce systems.
4714436
Notice of RetractionCost Comparison and Control Based on GLM and Panel Data Model: Evidence from Major Citrus Producing Areas in China
All the major citrus producing areas in China are facing the intensive competition from international market. The problem of how to find an efficient path to decrease citrus production cost by analyzing production cost of citrus and how to promote effective cooperation between regions to deal with the pressure of international market through integrating resources of the regions, has become an important problem that all the major citrus producing areas focus on. The paper firstly compares citrus production cost of the major citrus producing areas, and then reveals the reason causing cost differentiation in the central and eastern areas according to general linear model and panel data, finally proposes several suggestions to control citrus production cost.
11500894
Using Reactive Deliberation for Real-Time Control of Soccer-Playing Robots
Soccer meets the requirements of the Situated Agent approach and as a task domain is sufficiently rich to support research integrating many branches of Al. Reactive deliberation is a robot architecture that combines responsiveness to the environment with intelligent decision making. Under Reactive Deliberation, the robot controller is partitioned into a deliberator and an executor; the distinction is primarily based on the different time scales of interaction. A controller for our team entry in the Robocup97 Simulation League, UBC Dynamo97, has been developed using the Reactive Deliberation architecture.
33934028
An FSM-Based Approach for Malicious Code Detection Using the Self-Relocation Gene
Most information attacks on the Internet are perpetrated by deploying malicious codes, which results in destructive epidemics. The correct execution of viruses and worms throughout the Internet is accomplished by self-relocation. Self-relocation is a built-in mechanism in most malicious codes, allowing them to get the base address of the host program to correctly infect it. Since most legitimate computer programs do not need self-relocate themselves, the detection of malicious codes could be reduced to the detection of the various mutations of the self-relocation gene. This study presents such a detection mechanism based on finite state machine theory for both known and previously unknown malicious executable codes. It does not rely on signature-screening of known viruses, but instead it detects self-relocation attempt of the suspicious executable code. The experiments were conducted and the results indicate that the proposed approach has better ability to detect known and previously unknown malicious executable codes than other methods.
2698498
An Approach for Adaptive DRAM Temperature and Power Management
High-performance DRAMs are providing increasing memory access bandwidth to processors, which is leading to high power consumption and operating temperature in DRAM chips. In this paper, we propose a customized low-power technique for high-performance DRAM systems to improve DRAM page hit rate by buffering write operations that may incur page misses. This approach reduces DRAM system power consumption and temperature without any performance penalty. We combine the throughput-aware page-hit-aware write buffer (TAP) with low-power-state-based techniques for further power and temperature reduction, namely, TAP-low. Our experiments show that a system with TAP-low could reduce the total DRAM power consumption by up to 68.6% (19.9% on average). The steady-state temperature can be reduced by as much as 7.84°C and 2.55°C on average across eight representative workloads.