A bottom-up mechanism for behavior selection in an artificial creature
Proceedings of the first international conference on simulation of adaptive behavior on From animals to animats
Neural networks and fuzzy systems: a dynamical systems approach to machine intelligence
Neural networks and fuzzy systems: a dynamical systems approach to machine intelligence
Multiple paired forward and inverse models for motor control
Neural Networks - Special issue on neural control and robotics: biology and technology
Neural Networks - Special issue on organisation of computation in brain-like systems
Fuzzy-based Schema Mechanisms in AKIRA
CIMCA '05 Proceedings of the International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce Vol-2 (CIMCA-IAWTIC'06) - Volume 02
Adaptive mixtures of local experts
Neural Computation
Dynamic computation and context effects in the hybrid architecture AKIRA
CONTEXT'05 Proceedings of the 5th international conference on Modeling and Using Context
From bio-inspired vs. psycho-inspired to etho-inspired robots
Robotics and Autonomous Systems
Designing modular architectures in the framework AKIRA
Multiagent and Grid Systems - Special Issue on Nature inspired systems for parallel, asynchronous and decentralised environments
Coordinating with the Future: The Anticipatory Nature of Representation
Minds and Machines
Anticipatory Behavior in Adaptive Learning Systems
Schema-Based Design and the AKIRA Schema Language: An Overview
Anticipatory Behavior in Adaptive Learning Systems
Modulatory Influence of Motivations on a Schema-Based Architecture: A Simulative Study
ACII '07 Proceedings of the 2nd international conference on Affective Computing and Intelligent Interaction
A Study of Off-Line Uses of Anticipation
SAB '08 Proceedings of the 10th international conference on Simulation of Adaptive Behavior: From Animals to Animats
Anticipation and future-oriented capabilities in natural and artificial cognition
50 years of artificial intelligence
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We present a schema-based agent architecture which is inspired by an ethological model of the praying mantis It includes an inner state, perceptual and motor schemas, several routines, a fovea and a motor We describe the design and implementation of the architecture and we use it for comparing two models: the former uses reactive, stimulus-response schemas; the latter involves also forward models, which are used by the schemas for generating predictions Our results show an advantage in using anticipatory components inside the schemas.