We present value function transfer techniques for General Game Playing (GGP) by Reinforcement Learning. We focus on 2 player, alternate-move, complete information board games and use the GGP simulator and framework. Our approach is two-pronged: first we extract knowledge about crucial regions in the value-function space of any game in the genre. Then for each target game, we generate a smaller ...

This paper studies full-implementation in Nash equilibrium. We generalize the canonical model (Maskin, 1977) by allowing agents to send evidence or discriminatory signals. We first study settings where evidence is hard information that proves something about the state of the world. In such environments, social choice rules that are not Maskin-monotonic can be implementable. We formulate a more ...

Personalized learning has recently become an innovative trend in digital learning. The adaptive material could enhance the intention of learning, and motivate learner to concentrate on learning activity. Information technology have flourished, multimedia have been widely applied in learning materials. Various types of multimedia are designed on learning activities, how they affect individual’s ...

Abstract This paper establishes relationships between static Nash equilibria and dynamic Markov perfect equilibria of tariff and quota retaliation games. In supermodular games where tariffs are strategic complements, the steady state of every, symmetric Markov perfect equilibrium must have lower tariffs than in the static equilibrium. If tariffs are strategic substitutes, tariffs in the dynamic...

In this paper, we investigate the problem of verifying pushdown multiagent systems with imperfect information. As the formal model, we introduce pushdown epistemic game structures (PEGSs), an extension of pushdown game structures with epistemic accessibility relations (EARs). For the specification, we consider extensions of alternating-time temporal logics with epistemic modalities: ATEL, ATEL∗...

In this chapter, we consider the sensor management problem for tracking space targets where the targets may apply evasive maneuvering strategy to avoid being tracked by the space borne observers. We first study the case of single target tracking by a single observer and formulate the pursuit–evasion game with complete information. Then we extend the tracking problem to a set of collaborative ob...

Static analysis can be a valuable quality assurance technique as it can find problems by analysing the source code of a system without executing it. Getting used to a static analysis tool, however, can easily take several hours or even days. In particular, understanding the warnings issued by the tool and rooting out the false positives is time consuming. This lowers the benefits of static anal...

We study noncooperative games whose players are selfish, distributed users of a network and the game’s broad objective is to optimize Quality of Service (QoS) provision. Our classes of games are based on realistic microeconomic market models of QoS provision (Proceedings of the First International Conference on Information and Computation Economics ICE’98, 1998) and have two competing character...