In digital image reproduction, it is often desirable to compute image difference of reproductions and the original images. The traditional CIE color difference formula, designed for simple color patches in controlled viewing conditions, is not adequate for computing image difference for spatially complex image stimuli. Zhang and Wandell [Proceedings of the SID Symposium, 1996; p 731–734] introd...

24 and close to that achieved by. Berliner and McConnell 1] deal with the diiculty in nding optimistic and pessimistic bounds on the real values of game-tree positions. However, their results are not applicable for multi-model search where we look for bounds on the sum of two functions. The sum-bounds for a multi-model search reeect the maximal possible diierence between the subjective evaluati...

My research is focused on modeling optimal decision making in partially observable multiagent environments. I began with an investigation into the cognitive biases that induce subnormative behavior in humans playing games online in multiagent settings, leveraging well-known computational psychology approaches in modeling humans playing a strategic, sequential game. My subsequent work was in a s...

Opponent modeling in games deals with analyzing opponents’ behavior and devising a winning strategy. In this paper we present an approach to model low level behavior of individual agents using Robocup Soccer Simulation 3D environment. In 2D League, the primitive actions of agents such as Kick, Turn and Dash are known and high level behaviors are derived using these low level behaviors. In 3D Le...

Retinal specializations such as cone-photoreceptor opsin-expression gradients, as found in several vertebrate species, are intuitively considered detrimental to color vision. In mice, the majority of cones coexpress both "blue" and "green" opsin. The coexpression ratio changes along the dorsoventral axis, resulting in a "green"-dominant dorsal and a "blue"-dominant ventral retina. Here, we aske...

A tempting goal of artificial life is to model independently acting human characters that appear to behave realistically to a viewer. By modeling artificial human characters engaged in one activity, such as boxing, we may gain insights into the larger problem of creating convincing humans. In the case of boxing, we are specifically concerned with reactive motion. A boxer must react quickly to i...

Poker is an interesting test-bed for artificial intelligence research. It is a game of imperfect information, where multiple competing agents must deal with probabilistic knowledge, risk assessment, and possible deception, not unlike decisions made in the real world. Opponent modeling is another difficult problem in decision-making applications, and it is essential to achieving high performance...

The development of competitive artificial Poker playing agents has proven to be a challenge, because agents must deal with unreliable information and deception which make it essential to model the opponents in order to achieve good results. This paper presents a methodology to develop opponent modeling techniques for Poker agents. The approach is based on applying clustering algorithms to a Pok...