In this paper, we study the use of deception for strategic planning in adversarial environments. We model interaction between agent (player 1) and adversary 2) as a two-player concurrent stochastic game which has incomplete information about agent’s task specification given temporal logic formula. During interaction, can infer intention from observations adapt its strategy so to prevent satisfy...

The aim of this study was to analyse the adjustments in technique made by a basketball player when shooting against an opponent. The subjects used consisted of 10 professional basketball players of the Spanish First Division League. Three-dimensional motion analysis based on video recordings (50 Hz) was used to obtain the kinematic characteristics of basketball jump shots with and without an op...

Most cultural reasoning today is done by anthropologists and sociologists who use their detailed knowledge of culture to make predictions about how a given group will respond to a given situation. The main problem with this is that experts in a particular culture or subculture are few and not readily accessible to the many who might suddenly need to tap their expertise (e.g. in cases of war or ...

We aim to find a winning strategy that determines the arguments a proponent should assert during a dialogue such that it will successfully persuade its opponent of some goal arguments, regardless of the strategy employed by the opponent. By restricting the strategies we consider for the proponent to what we call simple strategies and by modelling this as a planning problem, we are able to use a...

The efficiency of automated multi-issue negotiation depends on the availability and quality of knowledge about an opponent. We present a generic framework based on Bayesian learning to learn an opponent model, i.e. the issue preferences as well as the issue priorities of an opponent. The algorithm proposed is able to effectively learn opponent preferences from bid exchanges by making some assum...

In this paper we apply a Monte-Carlo Tree Search implementation that is boosted with domain knowledge to the game of poker. More specifically, we integrate an opponent model in the Monte-Carlo Tree Search algorithm to produce a strong poker playing program. Opponent models allow the search algorithm to focus on relevant parts of the game-tree. We use an opponent modelling approach that starts f...

the patents’ term prolongation through protecting the new detected uses is the problematic matter that has been seriously attended by the developed countries in recent years. iranian legislators’ uncertainty toward the subject within the respective legislatures illustrates the legal importance of taking a stance, which is consistent with the primary principles of patent law and international ob...

Goal recognition is the task of inferring an agent’s goals given some or all of the agent’s observed actions. Among different ways of problem formulation, goal recognition can be solved as a model-based planning problem using off-theshell planners. However, obtaining accurate cost or reward models of an agent and incorporating them into the planning model becomes an issue in real applications. ...