David Touretzky

Publications

• Envisioning AI for K-12: What Should Every Child Know about AI?
• A Year in K-12 AI Education
• Computational thinking and mental models: From Kodu to Calypso
• Robotics for computer scientists: what’s the big idea?
• Touretzky, D, Gardner-McCune, C. Artificial Intelligence Thinking in K-12. In S.-C. Kong and H. Abelson (eds.), Computational Thinking in K-12: Artificial Intelligence Literacy and Physical Computing.
• Calypso for Cozmo
• Teaching Kodu with physical manipulatives
• Semantic Reasoning in Young Programmers
• Machine Learning and the Five Big Ideas in AI
• Lessons Learned From Teaching Artificial Intelligence to Middle School Students
• How States are Preparing Their Students for the Fourth Industrial Revolution
• BOF: Organizing State-Level Efforts for K-12 AI Education
• Co-Designing an AI Curriculum with University Researchers and Middle School Teachers
• Guiding Students to Investigate What Google Speech Recognition Knows about Language
• Interactive Visualizations of Word Embeddings for K-12 Students
• Envisioning ai for k-12: What should every child know about ai?
• Small scale manipulation with the calliope robot
• Leg design for a praying mantis robot
• Graphical display of search trees for transparent robot programming
• Navigating with the tekkotsu pilot
• Human-like understanding of two-line figures
• A new set of eyes and a new pair of legs: A robust learning environment for advanced high school robotics
• The ARTSI Alliance: Using robotics and AI to recruit African-Americans to computer science research
• Calliope: Mobile manipulation from commodity components
• The Tekkotsu "crew": Teaching robot programming at a higher level
• The chiara: A new platform for robotic manipulation
• The ARTSI alliance: Recruiting underrepresented students to computer science and robotics to improve society
• Extending tekkotsu to new platforms for cognitive robotics
• Similarity and discrimination in classical conditioning: A latent variable account
• Hippocampal Replay Is Not a Simple Function of Experience
• Evaluating the effectiveness of explicit instruction in reducing program reasoning fallacies in elementary level students
• The tekkotsu robotics development environment
• Deforming the hippocampal map
• An inexpensive hand-eye system for undergraduate robotics instruction
• Demonstrating the ability of elementary school students to reason about programs
• Accelerating k-12 computational thinking using scaffolding, staging, and abstraction
• Path integrator contributions to hippocampal map formation
• Context learning in the rodent hippocampus
• Dual-coding representations for robot vision programming in Tekkotsu
• Education: Preparing computer science students for the robotics revolution
• Representation and timing in theories of the dopamine system
• Teaching "lawfulness" with kodu
• Place field dissociation and multiple maps in hippocampus
• Introducing an experimental cognitive robotics curriculum at historically black Colleges and Universities
• Bayesian theories of conditioning in a changing world
• Seven big ideas in robotics, and how to teach them
• Influence of path integration versus environmental orientation on place cell remapping between visually identical environments
• Report on the AAAI 2010 robot exhibition
• An inexpensive hand-eye system for undergraduate robotics instruction
• Segmentation of spatial experience by hippocampal theta sequences
• A spin glass model of path integration in rat medial entorhinal cortex
• Evaluating the effect of using physical manipulatives to foster computational thinking in elementary school
• The AAAI 2011 robot exhibition
• Special session: AI for K-12 guidelines initiative
• Changes in Goal Selection Induced by Cue Conflicts Are in Register With Predictions From Changes in Place Cell Field Locations
• Tekkotsu: A framework for AIBO cognitive robotics
• Tekkotsu: A framework for AIBO cognitive robotics
• Cognitive primitives for mobile robots
• Model uncertainty in classical conditioning
• Timing and partial observability in the dopamine system
• Timing and Partial Observability in the Dopamine System
• Modeling temporal structure in classical conditioning
• Modeling Interactions of the Rat's Place and Head Direction Systems
• Neural network simulation at warp speed: How we got 17 million connections per second
• Nonmonotonic Inheritance and Generic Reflexives
• SCALING PROPERTIES OF COARSE-CODED SYMBOL MEMORIES.
• REPRESENTING CONCEPTUAL STRUCTURES IN A NEURAL NETWORK.
• ISSUES IN SYMBOL PROCESSING.
• A Clash of Intuitions: The Current State of Nonmonotonic Multiple Inheritance Systems
• SYMBOL STRUCTURES IN CONNECTIONIST NETWORKS: FIVE PROPERTIES AND TWO ARCHITECTURES.
• REPRESENTING AND TRANSFORMING RECURSIVE OBJECTS IN A NEURAL NETWORK, OR 'TREES DO GROW ON BOLTZMANN MACHINES'.
• IMPLICIT ORDERING OF DEFAULTS IN INHERITANCE SYSTEMS.
• CANCELLATION IN PARALLEL SEMANTIC NETWORK.
• Artificial Intelligence
• A coupled attractor model of the rodent Head Direction system
• A skeptical theory of inheritance in nonmonotonic semantic networks
• Connectionist models are also algorithmic
• The reaching task: evidence for vector arithmetic in the motor system?
• Free speech rights for programmers
• Shaping robot behavior using principles from instrumental conditioning
• Reconstructing physical symbol systems
• Visualizing Evaluation in Applicative Languages
• Cognitive maps beyond the hippocampus
• Operant behavior suggests attentional gating of dopamine system inputs
• Behavioral considerations suggests an average reward TD model of the dopamine system
• Connectionist models and linguistic theory: Investigations of stress systems in language
• Synaptic learning models of map separation in the hippocampus
• A distributed connectionist production system
• The Role of the Hippocampus in Solving the Morris Water Maze
• Dopamine and inference about timing
• PARSEC: A structured connectionist parsing system for spoken language
• Modeling attractor deformation in the rodent head-direction system
• Operant conditioning in skinnerbots
• On the proper treatment of thermostats
• Connectionist models as neural abstractions
• Long-term reward prediction in TD models of the dopamine system
• A parallel licensing model of normal slips and phonemic paraphasias
• Theory of rodent navigation based on interacting representations of space
• Optical Chinese character recognition using probabilistic neural networks
• A model of the rodent head direction system that accounts for unique properties of anterior thalamic head direction cells
• A comparison of reduction in APL with polyarity in lisp
• BoltzCONS: Dynamic symbol structures in a connectionist network
• Application of a model of instrumental conditioning to mobile robot control
• From Lecture Hall to Homeroom: Co-Designing an AI Elective with Middle School CS Teachers
• Escape or D13: Understanding Youth Perspectives of AI through Educational Game Co-design