Search results for "Conceptual space"
showing 10 items of 35 documents
Understanding dynamic scenes
2000
We propose a framework for the representation of visual knowledge in a robotic agent, with special attention to the understanding of dynamic scenes. According to our approach, understanding involves the generation of a high level, declarative description of the perceived world. Developing such a description requires both bottom-up, data driven processes that associate symbolic knowledge representation structures with the data coming out of a vision system, and top-down processes in which high level, symbolic information is in its turn employed to drive and further refine the interpretation of a scene. On the one hand, the computer vision community approached this problem in terms of 2D/3D s…
Pattern-Recognition: a Foundational Approach
2015
This paper aims at giving a contribution to the ongoing attempt to turn the theory of pattern-recognition into a rigorous science. In this article we address two problems which lie at the foundations of pattern-recognition theory: (i) What is a pattern? and (ii) How do we come to know patterns? In so doing much attention will be paid to tracing a non-arbitrary connection between (i) and (ii), a connection which will be ultimately based on considerations relating to Darwin’s theory of evolution.
Grounding concepts as emerging clusters in multiple conceptual spaces
2018
A novel framework for symbol grounding in artificial agents is presented, which relies on the key idea that concepts "emerge" implicitly at the perceptual level as clusters of points with similar features forming homogeneous regions in multiple perceptual Conceptual Spaces (pCS). Such spaces describe percepts such as color, texture, shape, and position that in turn are the properties of the objects populating the agent's environment. Objects are represented in a suitable object Conceptual Space where all their features are composed together again using clustering in pCSs. Symbols will be learned from such a tensor space. A detailed description of both the framework and its theoretical found…
Vision and emotional flow in a cognitive architecture for human-machine interaction
2011
The detection and recognition of a human face should meet the need for social interaction that drives a humanoid robot, and it should be consistent with its cognitive model and the perceived scene. The paper deals with the description of the potential of having a system of emotional contagion, and proposes a simple implementation of it. An emotional index allows to build a mechanism which tends to align the emotional states of the robot and the human when a specific object is detected in the scene. Pursuing the idea of social interaction based on affect recognition, a first practical application capable of managing the emotional flow is described, involving both conceptual spaces and an emo…
Emo-dramatic Robotic Stewards
2010
In this paper will be presented an heterogeneous colony of robots capable to cooperate with people as effective partners to provide different kind of support among various working environments, such as museums, offices or trade fairs. Many systems have been integrated in order to develop robots capable to assists humans during the visit of the site, to guide them and to give information about the environment. According to the drama’s theory, each robot has a different character, something like a personality, so, each of them will interact with people in a different way. Robots show also emotional, non trivial, behaviours using an LSA conceptual space capable to synthesize the different emot…
A Conceptual Probabilistic Model for the Induction of Image Semantics
2010
In this paper we propose a model based on a conceptual space automatically induced from data. The model is inspired to a well-founded robotics cognitive architecture which is organized in three computational areas: sub-conceptual, linguistic and conceptual. Images are objects in the sub-conceptual area, that become "knoxels" into the conceptual area. The application of the framework grants the automatic emerging of image semantics into the linguistic area. The core of the model is a conceptual space induced automatically from a set of annotated images that exploits and mixes different information concerning the set of images. Multiple low level features are extracted to represent images and…
Phase Coherence in Conceptual Spaces for Conversational Agents
2010
This chapter attempts to enhance the traditional chatbots with associative/intuitive capabilities. According to these considerations, it tries to create a conversational agent model that takes into consideration, aside from the traditional rule - based dialogue mechanism, also some sort of intuitive reasoning ability. The aim is in attempting to overcome the rigid pattern - matching rules, proposing a "phase coherence" paradigm into a semantic space. With this locution the chapter intend that the vectors representing the elements of the dialogue are coherent with the context. The chapter trust that this intuitive - associative capability can be obtained using the LSA methodology. The repres…
Sentence Induced Transformations in Conceptual Spaces
2008
The proposed work illustrates how "primitive concepts" can be automatically induced from a text corpus. The primitive concepts are identified by the orthonormal axis of a "conceptual" space induced by a methodology inspired to the latent semantic analysis approach. The methodology represents a natural language sentence by means of a set of rotations of an orthonormal basis in the "conceptual"space. The rotations, triggered by the sequence of words composing the sentence and realized by means of geometric algebra rotors, allow to highlight "conceptual" relations that can arise among the primitive concepts.
Mathematical Patterns and Cognitive Architectures
2014
Mathematical patterns are an important subclass of the class of patterns. The main task of this paper is examining a particular proposal concerning the nature of mathematical patterns and some elements of the cognitive architecture an agent should have to recognize them.
Conceptualization for intended action: A dynamic model
2023
Concepts are the building blocks of higher-order cognition and consciousness. Building on Conceptual Spaces Theory (CST) and proceeding from the assumption that concepts are inherently dynamic, this paper provides historical context to and significantly elaborates the previously offered Iterative Subdivision Model (ISDM) with the goal of pushing it toward empirical testability. The paper describes how agents in continuous interaction with their environment adopt an intentional orientation, estimate the utility of the concept(s) applicable to action in the current context, engage in practical action, and adopt any new concepts that emerge: a largely pre-intellectual cycle that repeats essent…