This work is all about two words: distributed innovation; it answers the
question: is it possible to work in team projects that aim for making innovative
products accepted worldwide and whose members are geographically dispersed?;
it gives methods/tools for…

The Artificial Intelligence Laboratory proposes to continue its work on a group of closely interconnected projects, all bearing on questions about how to make computers able to use more sophisticated kinds of knowledge to solve difficult problems. This proposal explains…

Computers open up new ways to think about knowledge and learning. Learning computer science should draw upon and feed these new approaches. In a previous paper called "Leading a Child to a Computer Culture" I discuss some ways to do…

This thesis considers three complications that arise from applying reinforcement learning to a real-world application. In the process of using reinforcement learning to build an adaptive electronic market-maker, we find the sparsity of data, the partial observability of the domain,…

Attempts to recognize ‘information’ as an asset have led to an increased awareness of why and how this invisible valuable resource does not appear in the financial statements. This paper aims to develop a model based on three-circled sets of…

In this work we analyze the problem of incorporating specificity to characterize defeat in a particular argumentative framework, called observation based defeasible logic programming (ODeLP) [1]. Eficiency is an important issues in ODeLP, since this framework has been de ned…

In this work we present a method to calculate the spectrum of the fundamental primaries of a digital camera from the experimental knowledge of its spectral sensitivities. The color triangle of the camera, linked to the chromaticities of its primaries,…

This paper reports work in progress on an experimental text editor called CREF, the Cross Referenced Editing Facility. CREF deals with chunks of text, called segments, which may have associated features such as keywords or various kinds of links to…

In a Communication Bootstrapping system, peer components with different perceptual worlds invent symbols and syntax based on correlations between their percepts. I propose that Communication Bootstrapping can also be used to acquire functional definitions of words and causal reasoning knowledge.…

This paper presents an adaptive learning model for market-making under the reinforcement learning framework. Reinforcement learning is a learning technique in which agents aim to maximize the long-term accumulated rewards. No knowledge of the market environment, such as the order…