Intelligence without representation
Artificial Intelligence
Made-up minds: a constructivist approach to artificial intelligence
Made-up minds: a constructivist approach to artificial intelligence
Map learning with uninterpreted sensors and effectors
Artificial Intelligence
Neo: learning conceptual knowledge by sensorimotor interaction with an environment
AGENTS '97 Proceedings of the first international conference on Autonomous agents
Interactionist-expectative view on agency and learning
ITI '96 Selected papers from the 18th international conference on Information technology interfaces
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Continuous categories for a mobile robot
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
Between MDPs and semi-MDPs: a framework for temporal abstraction in reinforcement learning
Artificial Intelligence
The spatial semantic hierarchy
Artificial Intelligence
Automated Theory Formation in Pure Mathematics
Automated Theory Formation in Pure Mathematics
Bayesian Clustering by Dynamics
Machine Learning - Special issue: Unsupervised learning
Abstracting from Robot Sensor Data using Hidden Markov Models
ICML '99 Proceedings of the Sixteenth International Conference on Machine Learning
A Method for Clustering the Experiences of a Mobile Robot that Accords with Human Judgments
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
The Importance of Being Discrete: Learning Classes of Actions and Outcomes through Interaction
AI '01 Proceedings of the 14th Biennial Conference of the Canadian Society on Computational Studies of Intelligence: Advances in Artificial Intelligence
Bootstrap learning for place recognition
Eighteenth national conference on Artificial intelligence
Learning Effects of Robot Actions Using Temporal Associations
ICDL '02 Proceedings of the 2nd International Conference on Development and Learning
Unsupervised Clustering of Robot Activitie: A Bayesian Approach TITLE2:
Unsupervised Clustering of Robot Activitie: A Bayesian Approach TITLE2:
Autonomous discovery of temporal abstractions from interaction with an environment
Autonomous discovery of temporal abstractions from interaction with an environment
Recent Advances in Hierarchical Reinforcement Learning
Discrete Event Dynamic Systems
The constructivist learning architecture: a model of cognitive development for robust autonomous robots
Looping suffix tree-based inference of partially observable hidden state
ICML '06 Proceedings of the 23rd international conference on Machine learning
An intrinsic reward mechanism for efficient exploration
ICML '06 Proceedings of the 23rd international conference on Machine learning
Learning regularities with a constructivist agent
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
Staged Competence Learning in Developmental Robotics
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
Robot tool behavior: a developmental approach to autonomous tool use
Robot tool behavior: a developmental approach to autonomous tool use
A Statistical Approach to Incremental Induction of First-Order Hierarchical Knowledge Bases
ILP '08 Proceedings of the 18th international conference on Inductive Logic Programming
Autonomous development of a grounded object ontology by a learning robot
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 2
Learning and transferring action schemas
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Building portable options: skill transfer in reinforcement learning
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Evolution and learning in an intrinsically motivated reinforcement learning robot
ECAL'07 Proceedings of the 9th European conference on Advances in artificial life
Piagetian adaptation meets image schemas: the jean system
SAB'06 Proceedings of the 9th international conference on From Animals to Animats: simulation of Adaptive Behavior
Intrinsic Motivation Systems for Autonomous Mental Development
IEEE Transactions on Evolutionary Computation
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One of the major stumbling blocks for artificial intelligence remains the commonsense knowledge problem. It is not clear how we could go about building a program which has all the commonsense knowledge of the average human adult. This has led to growing interest in the 'developmental' approach, which takes its inspiration from nature (especially the human infant) and attempts to build a program which could develop its own knowledge and abilities through interaction with the world. The challenge here is to find a learning program which can continuously build on what it knows, to reach increasingly sophisticated levels of knowledge. This survey reviews work in this area, with the emphasis on those that focus on early learning, for example, sensorimotor learning. The concluding discussion assesses the progress thus far and outlines some key problems which have yet to be addressed, and whose solution is essential to achieve the goals of the developmental approach.