The development of adaptive learning systems is only in the very beginning. In fact, the concept of adaptive learning systems range from different user interfaces to behaviour adaptive systems as well as from the place and time independent systems to terminal independent systems. When approaching the concept of adaptive learning materials, we must first have conceptual models of the behaviour o...

We apply adaptive play to a simplified pollution game with two players. We find that agents with longer memory paradoxically perform worse in the long run. We interpret this result as an indication that adaptive play may be too restrictive as a model of agent behaviour in this context, although it can serve as a starting point for further research on bounded rationality in pollution games.

We present a simple algorithm for playing a repeated game. We show that a player using this algorithm suffers average loss that is guaranteed to come close to the minimum loss achievable by any fixed strategy. Our bounds are nonasymptotic and hold for any opponent. The algorithm, which uses the multiplicative-weight methods of Littlestone and Warmuth, is analyzed using the Kullback–Liebler dive...

Cognitive Radio promises to be a solution for the spectrum underutilization problems. However, security issues pertaining to Cognitive Radio technology are still an understudied topic. One of the prevailing such issues are intelligent radio frequency jamming attacks, where adversaries are able to exploit on-the-fly reconfigurability potentials and learning mechanisms of Cognitive Radios in orde...

In this paper we illustrate how to conceive, implement and play adaptive Units of Learning (UoLs) that embed educational videogames. For this purpose we describe The Art & Craft of chocolate UoL, with the game Paniel and the chocolate-based sauce adventure as a key feature. The UoL includes a pre-test whose outcome is used to adapt the game. The UoL also assesses the learning process using an i...

In this work we present an evolving system of agents which interact with each other in game theoretic settings. The parameters of the game are considered as time dependent variables representing state of the external environment. The variation of these parameters covers four canonical examples from game theory: prisoners dilemma, hawk-dove, stag-hunt and harmony game. The process of selfadaptat...

Game (Artificial Intelligence) is defined as the decision making process of computer-controlled opponent in video games. To improve the entertainment value of games, Adaptive game AI can be used to allowing computer-controlled opponents to fix weaknesses automatically in the game AI, and to respond to changes in human-player tactics. Dynamic Scripting is a reinforcement learning technique succe...

Radio resource management (RRM) is one of the most challenging and one of the most important aspects of modern wireless communication networks. Many interactive decision making processes are required to design an intelligent radio resource management scheme that can significantly improve the system performance. These interactive decision making processes of RRM can be well analyzed by the appli...

For game playing in general it is important for players to be adaptive, this is particularly true for games where no optimal fixed strategy is known to exist. Adaptive artificial opponents capable of learning and opponent modelling are highly desirable in computer games. Typically, a great deal of a game’s ability to maintain the interest of human players is provided by multiplayer functionalit...

w en we say that a game has "good AI," we typically mean that the characters in the game exhibit consistent and realistic behavior, reacting appropriately to the actions of the player and other characters. For certain genres of games-for example, first-person shooters and real-time strategy game~-~~good AI" also refers to the ability of the game to challenge the player on a tactical and strateg...