International Business Machines Corporation

Janusz Marecki

Sharathchandra UmapathiRao Pankanti

Arvind Kumar

Ban Kawas

Mudhakar Srivatsa

Dharmashankar Subramanian

Gerald James Tesauro

Richard B Segal

Fei Fang

Methods and systems for determining a reallocation of resources are described. A device may determine initial allocation data that indicates a first amount of resources allocated to a plurality of areas. The device may determine a set of attacker expected rewards based on the initial allocation data. The device may determine a set of defender expected rewards based on the attacker expected rewards. The device may determine moving rewards indicating defensive scores in response to movement of the resources among the plurality of areas. The device may determine defender response rewards indicating defensive scores resulting from an optimal attack on the plurality of areas. The device may generate reallocation data indicating an allocation of a second amount of resources to the plurality of areas. The second amount of resources may maximize the moving rewards and the defender response rewards.

Resource reallocation based on expected rewards

A method of operating an image detection device includes receiving an image, dividing the image into a plurality of patches, grouping ones of the plurality of patches, generating a set of saccadic paths through the plurality of patches of the image, generating a cluster-direction sequence for each saccadic path, generating a policy function for identifying an object in a new image using a combination of the cluster-direction sequences, and operating the image detection device using the policy function to identify an object in the new image.

Visual object and event detection and prediction system using saccades

System, method and computer program product for modelling information sharing domains as Partially Observable Markov Decision Processes (POMDP), and that provides solutions that view the information sharing as a sequential process where the trustworthiness of the information recipients is monitored using data leakage detection mechanisms. In one embodiment, the system, method and computer program product performs (i) formulating information sharing decisions using Partially Observable Markov Decision Processes combined with a digital watermarking leakage detection mechanism, and (ii) deriving optimal information sharing strategies for the sender and optimal information leakage strategies for a recipient as a function of the efficacy of the underlying monitoring mechanism. By employing POMDPs in information sharing domains, users (senders) can maximize the expected reward of their data/information sharing actions.

System and method for secure information sharing with untrusted recipients

A system, method and computer program product for planning actions in a repeated Stackelberg Game, played for a fixed number of rounds, where the payoffs or preferences of the follower are initially unknown to the leader, and a prior probability distribution over follower types is available. In repeated Bayesian Stackelberg games, the objective is to maximize the leader's cumulative expected payoff over the rounds of the game. The optimal plans in such games make intelligent tradeoffs between actions that reveal information regarding the unknown follower preferences, and actions that aim for high immediate payoff. The method solves for such optimal plans according to a Monte Carlo Tree Search method wherein simulation trials draw instances of followers from said prior probability distribution. Some embodiments additionally implement a method for pruning dominated leader strategies.

Growing community of inventors

New York, NY, United States of America

Janusz Marecki