Computers are already approving financial transactions, controlling electrical supplies, and
driving trains. Soon, service robots will be taking care of the elderly in their homes, and …

<? Pub Dtl=""?> We describe a cognitive architecture learning intelligent distribution agent
(LIDA) that affords attention, action selection and human-like learning intended for use in …

Ants, like many other animals, use visual memory to follow extended routes through complex
environments, but it is unknown how their small brains implement this capability. The …

We argue that the functions of consciousness are implemented in a bio-computational
manner. That is to say, the conscious as well as the non-conscious aspects of human …

Vision gives primates a wealth of information useful to manipulate the environment, but at
the same time it can easily overwhelm their computational resources. Active vision is a key …

In this paper, we advocate the use of Sparse Distributed Memories (SDMs) for on-line, value-
based reinforcement learning (RL). SDMs provide a linear, local function approximation …

Artificial intelligence (AI) initially aimed at creating “thinking machines,” that is, computer
systems having human level general intelligence. However, AI research has until recently …

This paper presents an approach to learning an optimal behavioral parameterization in the
framework of a case-based reasoning methodology for autonomous navigation tasks. It is …

Intelligent software agents (agents) adhering to the action selection paradigm have only one
primary task that they need accomplish at any given time: to choose their next action …

Modern research has shown that intelligent behaviour is, to a great extent, strongly
supported on the use of a sophisticated memory. Additionally, vision is the main source of …