Computational Models of Tutor Feedback in Language Acquisition

This paper investigates the role of tutor feedback in language learning using computational models. We compare two dominant paradigms in language learning: interactive learning and cross-situational learning - which differ primarily in the role of social feedback such as gaze or pointing. We analyze the relationship between these two paradigms and propose a new mixed paradigm that combines the two paradigms and allows to test algorithms in experiments that combine no feedback and social feedback. To deal with mixed feedback experiments, we develop new algorithms and show how they perform with respect to traditional knn and prototype approaches.Comment: 6 pages, 8 figures, Seventh Joint IEEE International Conference on Development and Learning and on Epigenetic Robotic

External Evaluation of Event Extraction Classifiers for Automatic Pathway Curation: An extended study of the mTOR pathway

This paper evaluates the impact of various event extraction systems on automatic pathway curation using the popular mTOR pathway. We quantify the impact of training data sets as well as different machine learning classifiers and show that some improve the quality of automatically extracted pathways

The evolution of grounded spatial language

This book presents groundbreaking robotic experiments on how and why spatial language evolves. It provides detailed explanations of the origins of spatial conceptualization strategies, spatial categories, landmark systems and spatial grammar by tracing the interplay of environmental conditions, communicative and cognitive pressures. The experiments discussed in this book go far beyond previous approaches in grounded language evolution. For the first time, agents can evolve not only particular lexical systems but also evolve complex conceptualization strategies underlying the emergence of category systems and compositional semantics. Moreover, many issues in cognitive science, ranging from perception and conceptualization to language processing, had to be dealt with to instantiate these experiments, so that this book contributes not only to the study of language evolution but to the investigation of the cognitive bases of spatial language as well

The evolution of grounded spatial language

This book presents groundbreaking robotic experiments on how and why spatial language evolves. It provides detailed explanations of the origins of spatial conceptualization strategies, spatial categories, landmark systems and spatial grammar by tracing the interplay of environmental conditions, communicative and cognitive pressures. The experiments discussed in this book go far beyond previous approaches in grounded language evolution. For the first time, agents can evolve not only particular lexical systems but also evolve complex conceptualization strategies underlying the emergence of category systems and compositional semantics. Moreover, many issues in cognitive science, ranging from perception and conceptualization to language processing, had to be dealt with to instantiate these experiments, so that this book contributes not only to the study of language evolution but to the investigation of the cognitive bases of spatial language as well

Semiotic Dynamics Solves the Symbol Grounding Problem

Language requires the capacity to link symbols (words, sentences) through the intermediary of internal representations to the physical world, a process known as symbol grounding. One of the biggest debates in the cognitive sciences concerns the question how human brains are able to do this. Do we need a material explanation or a system explanation? John Searle's well known Chinese Room thought experiment, which continues to generate a vast polemic literature of arguments and counter-arguments, has argued that autonomously establishing internal representations of the world (called 'intentionality' in philosophical parlance) is based on special properties of human neural tissue and that consequently an artificial system, such as an autonomous physical robot, can never achieve this. Here we study the Grounded Naming Game as a particular example of symbolic interaction and investigate a dynamical system that autonomously builds up and uses the semiotic networks necessary for performance in the game. We demonstrate in real experiments with physical robots that such a dynamical system indeed leads to a successful emergent communication system and hence that symbol grounding and intentionality can be explained in terms of a particular kind of system dynamics. The human brain has obviously the right mechanisms to participate in this kind of dynamics but the same dynamics can also be embodied in other types of physical systems

Planning for coastal community resiliency : a partnership approach

Disaster planning and recovery programs and policies are becoming more important with the increase in numbers and frequency of disasters and their widespread damage throughout the world. Government alone no longer is the answer. The whole community needs to be involved. There are local "assets" that a community has available to assist in addressing natural and human-caused disasters. Asset-Based Community Development (ABCD) is an approach that involves both public and private sectors, with strong emphasis on using local resources. This whole community concept includes collaboration among agencies that provide services to disaster victims, educating residents about potential hazards and how to prepare for them, and developing a coordinated set of policies that can be communicated to the public. Engaging in sound community development practices that involves the whole community, including those who may be affected by the disaster (as well as youth and the elderly) is paramount to successful outcomes in post-disaster recovery. The southeastern United States had dealt with many disasters. This includes natural hazard events such as hurricanes, tropical storms, coastal floods, tornadoes, and wild fires, as well as human-caused disasters such as industrial accidents, and major oil spills. Educational programs, materials and best practices and principles have been developed for individuals and communities to become more resilient to these disasters through the preplanning and post-disaster recovery phases.Michael S. Spranger: Department of Family, Youth and Community Sciences, University of Florid

Grounding Dynamic Spatial Relations for Embodied (Robot) Interaction

This paper presents a computational model of the processing of dynamic spatial relations occurring in an embodied robotic interaction setup. A complete system is introduced that allows autonomous robots to produce and interpret dynamic spatial phrases (in English) given an environment of moving objects. The model unites two separate research strands: computational cognitive semantics and on commonsense spatial representation and reasoning. The model for the first time demonstrates an integration of these different strands.Comment: in: Pham, D.-N. and Park, S.-B., editors, PRICAI 2014: Trends in Artificial Intelligence, volume 8862 of Lecture Notes in Computer Science, pages 958-971. Springe

The Impact of Universal Extra Dimensions on FCNC Processes

We review the results of two papers on FCNC processes in the Appelquist, Cheng and Dobrescu (ACD) model with one universal extra dimension.Comment: Invited talk at the Workshop on the CKM Unitarity Triangle, IPPP Durham, April 2003 (eConf C0304052). 7 pages LaTeX, 5 eps figure

Udder health concepts that comply with organic principles - how to reduce therapies?

Both the consumers and the legislators expect products from healthy organic livestock. Consequently, keeping farm animals healthy has the highest priority in veterinary work on organic farms. Different Swiss FiBL projects on bovine mastitis in recent years were aimed at health concepts that comply with organic livestock production principles. This paper summarises some of the work carried out