The notion of affordance remains elusive, notwithstanding its importance for the representation agency, cognition, and behaviors. This paper lays down a foundation an ontology affordances by elaborating idea “core affordance” which would serve as common ground explaining existing diverse conceptions their interrelationships. For this purpose, it analyzes M. T. Turvey’s dispositional theory in l...

The history of algorithmic composition using a digital computer has undergone many representations—data structures that encode some aspects the outside world, or processes and entities within program itself. Parallel histories in cognitive science artificial intelligence have (of necessity) confronted their own notions representations, including ecological perception view J.J. Gibson, who claim...

Introduction One of the many goals of design research is to better understand the ways in which end users interact with the products of designing. This focus is not surprising—the ultimate measure of success for any design is the adoption by the user. The concept of affordance recently has been the focus of increased interest in the design research community because it captures well the relatio...

A case study of how affordances are perceived and enacted by a teacher in a technologyrich teaching and learning environment (TRTLE) to maximise learning of functions by senior secondary students is reported. Three conditions were set up by the teacher to optimise students’ current and future perceptions of affordances of TRTLE’s. These were an exploratory approach, promotion of multiple soluti...

Learning and conceptualizing words categories such as verbs, nouns and adjectives in language based on sensorimotor interactions of a robot is a challenging topic in cognitive robotics. In this article, we summarize our approach that is based on first learning affordances of objects by interacting with them, and then, learning and conceptualizing verbs, nouns and adjectives from these interacti...

This paper describes an architecture for an agent to learn and reason about affordances. In this architecture, Answer Set Prolog, a declarative language, is used to represent and reason with incomplete domain knowledge that includes a representation of affordances as relations defined jointly over objects and actions. Reinforcement learning and decision-tree induction based on this relational r...

In complex systems’ development, it is necessary to understand how things depend on each other in order to plan and control the development task. Ericsson, a major supplier of telecommunication systems all over the world, has successfully used a construct called the system anatomy for this purpose. The anatomy shows, in a compact way, the crucial functional dependencies in the system. Since the...

The discovery of possible interactions with objects is a vital part of an exploration task for robots. An important subset of these possible interactions are affordances. Affordances describe what a specific object can afford to specific agent, based on the capabilities of the agent and the properties of the object in relation to the agent. For example, a chair affords a human to be sat-upon, i...