The paper is based on agent plan computing where the interaction amongst heterogeneous computing resources is via objects, multiagent AI and agent intelligent languages. Modeling, objectives, and planning issues are examined at an agent planning. A basis to model discovery and prediction planning is stated. The new AI agent computing business bases defined during the last several years can be a...

Planning is one of the key problems for autonomous vehicles operating in road scenarios. Present planning algorithms operate with the assumption that traffic is organized in predefined speed lanes, which makes it impossible to allow autonomous vehicles in countries with unorganized traffic. Unorganized traffic is though capable of higher traffic bandwidths when constituting vehicles vary in the...

Conditions of information independence are important in information economics and game theory. We present notions of partial independence in Bayesian environments, and study their relationships to notions of common knowledge.

Conditions of information independence are important in information economics and game theory. We present notions of partial independence in Bayesian environments, and study their relationships to notions of common knowledge.

Background Gaming is a potentially dysfunctional consequence of performance measurement and management systems in the health sector and more generally. In 2009, the New Zealand government initiated a Shorter Stays in Emergency Department (SSED) target in which 95% of patients would be admitted, discharged or transferred from an emergency department (ED) within 6 hours. The implementation ...

This paper uplores a game-theoretic approach to automatic planning of sensor·based robotic manipulation programs. To win the game, the robot must provably attain a specified task swc. The robot moves by cboosing 1 control signal. and nature moves by cboosing a sensor signal. Planning is accomplished by searching lhe game O"ee. In some task domllnJ. lhe llppf'OII:h provides a slrllght!orwan1 met...

One of the central questions in game theory deals with predicting the behavior of an agent. Here, we study the inverse of this problem: given the agents’ equilibrium behavior, what are possible utilities that motivate this behavior? We consider this problem in arbitrary normal-form games in which the utilities can be represented by a small number of parameters, such as in graphical, congestion,...

Game designs often center on the game mechanics—rules governing the logical evolution of the game. We seek to develop an intelligent system that generates computer games and assists humans in designing games. As first steps towards this goal we present a composable and cross-domain representation for game mechanics that draws from AI planning action representations. We use a constraint solver t...

Cooperative wireless network has drawn the attention of research community since past few years. It has shown potential to be the promising technology for next generation heterogeneous networks. For converting concept into reality, many challenges are to be complied like selection of cooperating partner, mechanism to ensure cooperation, identifying selfish nodes, performance optimization of not...