Journal of Experimental and Theoretical Artificial Intelligence 

About: Journal of Experimental and Theoretical Artificial Intelligence is an academic journal published by Taylor & Francis. The journal publishes majorly in the area(s): Computer science & Artificial intelligence. It has an ISSN identifier of 0952-813X. Over the lifetime, 1149 publications have been published receiving 23879 citations. The journal is also known as: Journal of Experimental & Theoretical Artificial Intelligence.

Experiences with an architecture for intelligent, reactive agents

Abstract: This paper describes an implementation of the 3T robot architecture which has been under development for the last eight years. The architecture uses three levels of abstraction and description languages which are compatible between levels. The makeup of the architecture helps to coordinate planful activities with real-time behaviours for dealing with dynamic environments. In recent years, other architectures have been created with similar attributes but two features distinguish the 3T architecture: (1) a variety of useful software tools have been created to help implement this architecture on multiple real robots; and (2) this architecture, or parts of it, have been implemented on a variety of very different robot systems using different processors, operating systems, effectors and sensor suites.

Computation and cognition

Abstract: In this paper I look at three theories regarding the exact nature of cognitive state transitions. I briefly dismiss dynamic systems theory as providing no clearly specified explananda consistent with notions of cognition. For remainder of the paper, I focus upon ‘classical’ cognitive science and dynamic computationalism. I present and criticize the two most prominent arguments in the literature. I suggest that proponents of each of these arguments in the literature misunderstand or misapply the technical notions to which they appeal. I conclude the paper by arguing that properly understood, all the types of arguments in the literature support dynamic computationalism.

Comparing performance of algorithms for generating concept lattices

Abstract: Recently concept lattices became widely used tools for intelligent data analysis. In this paper, several algorithms that generate the set of all formal concepts and diagram graphs of concept lattices are considered. Some modifications of wellknown algorithms are proposed. Algorithmic complexity of the algorithms is studied both theoretically (in the worst case) and experimentally. Conditions of preferable use of some algorithms are given in terms of density/sparseness of underlying formal contexts. Principles of comparing practical performance of algorithms are discussed.

DAMN: a distributed architecture for mobile navigation

Abstract: An architecture is presented in which distributed task-achieving modules, or behaviours, cooperatively determine a mobile robot's path by voting for each of various possible actions. An arbiter then performs command fusion and selects that action which best satisfies the prioritized goals of the system, as expressed by these votes, without the need to average commands. Command fusion allows multiple goals and constraints to be considered simultaneously. Examples of implemented systems are given, and future research directions in command fusion are discussed.

Behaviour-based control: examples from navigation, learning, and group behaviour

Abstract: This paper describes the main properties of behaviour-based approaches to control. Different approaches to designing and using behaviours as basic units for control, representation, and learning are illustrated on three empirical examples of robots performing navigation and path-finding, group behaviours, and learning behaviour selection.