OpenPsi: Realizing Dörner’s “Psi” Cognitive Model in the OpenCog Integrative AGI Architecture

Cai, Zhenning; Goertzel, Ben; Geisweiller, Nil

doi:10.1007/978-3-642-22887-2_22

Cited by 7 publications

(7 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…An external evaluation could result from a human evaluation, a kind of teacher that indicates whether the execution of the work is proceeding according to his expectations. 4) Certainty: Goertzel ( [18]) defines it as the confidence of the agent's knowledge. The certainty depends on the amount of pleasant styles that has the robot for the execution of portraits as sketched in Fig.…”

Section: A the Urges Of The Computational Artistmentioning

confidence: 99%

See 1 more Smart Citation

Robotic Creativity Driven by Motivation and Semantic Analysis

Augello

Infantino

Pilato

et al. 2014

2014 IEEE International Conference on Semantic Computing

View full text Add to dashboard Cite

The paper proposes a system architecture for artificial creativity that enables a robot to perform portraits. The proposed cognitive architecture is inspired by the PSI model, and it requires that the motivation of the robot in the execution of its tasks is influenced by urges. Such parameters depend on both internal and external evaluation mechanisms. The system is a premise for the development of an artificial artist able to develop a personality and a behavior that depends on its experience of successes and failures (competence), and the availability of different painting techniques (certainty). The creative execution is driven by the motivation arising from the urges, and the perception of the work being executed or performed. The external evaluation is obtained by analyzing the opinions expressed in natural language from people watching the realized portrait.

show abstract

Section: A the Urges Of The Computational Artistmentioning

confidence: 99%

“…3) Competence: Goertzel ( [18]) defines it as the effectiveness of the agent at fulfilling its needs. The value of Competence at time t + 1 increases if the action at time t succeeds.…”

Section: A the Urges Of The Computational Artistmentioning

confidence: 99%

Robotic Creativity Driven by Motivation and Semantic Analysis

Augello

Infantino

Pilato

et al. 2014

2014 IEEE International Conference on Semantic Computing

View full text Add to dashboard Cite

show abstract

“…For this reason the proposed architecture starts from the Psi model [5], since it explicitly involves concepts of emotion and motivation in cognitive processes being also successfully implemented and tested on some practical control applications [3,9].…”

Section: The Pico Cognitive Architecturementioning

confidence: 99%

“…A key purpose is also to make the agent as much as possible empathetic, in order to guide students in their learning experiences by acting as a captivating cultural mediator. PICo is realized according to key concepts and approaches of AI and Cognitive Science, starting from an evaluation of the existing cognitive architectures [4,9].…”

Section: The Pico Cognitive Architecturementioning

confidence: 99%

A Personal Intelligent Coach for Smart Embodied Learning Environments

Augello

Infantino

Manfrè

et al. 2016

Smart Innovation, Systems and Technologies

View full text Add to dashboard Cite

Within a Smart Learning Environment (SLE) learners are involved in a new learning process tailored to create a continuum of education by extending the current educational formal settings to real-life informal learning context. The goal of this paper is to describe the Cognitive Architecture (CA) of a Personal Intelligent Coach able to manage learning tasks and interactions within a complex Smart Learning Environment (SLE). PICo has two possible embodiments: humanoid robot, and an avatar on mobile device. We argue that the proposed intelligent coach can adapt to the contents, to the students needs and can evolve its strategies according the learning process.

show abstract

“…In a general perspective, the mental capabilities [54] of artificial computational agents can be directly introduced into a cognitive architecture or emerge from the interaction of its components. In this respect, many approaches have been presented in the literature, ranging from cognitive testing of theoretical models of the human mind, to robotic architectures based on perceptual-motor components and purely reactive behaviours [28][37] [12].…”

Section: Introductionmentioning

confidence: 99%

Artwork creation by a cognitive architecture integrating computational creativity and dual process approaches

Augello¹,

Infantino²,

Lieto

et al. 2016

Biologically Inspired Cognitive Architectures

View full text Add to dashboard Cite

The paper proposes a novel cognitive architecture (CA) for computational creativity based on the Psi model and on the mechanisms inspired by dual process theories of reasoning and rationality. In recent years, many cognitive models have focused on dual process theories to better describe and implement complex cognitive skills in artificial agents, but creativity has been approached only at a descriptive level. In previous works we have described various modules of the cognitive architecture that allows a robot to execute creative paintings. By means of dual process theories we refine some relevant mechanisms to obtain artworks, and in particular we explain details about the resolution level of the CA dealing with different strategies of access to the Long Term Memory (LTM) and managing the interaction between S1 and S2 processes of the dual process theory. The creative process involves both divergent and convergent processes in either implicit or explicit manner. This leads to four activities (exploratory, reflective, tacit, and analytic) that, triggered by urges and motivations, generate creative acts. These creative acts exploit both the LTM and the WM in order to make novel substitutions to a perceived image by properly mixing parts of pictures coming from different domains. The paper highlights the role of the interaction between S1 and S2 processes, modulated by the resolution level, which focuses the attention of the creative agent by broadening or narrowing the exploration of novel solutions, or even drawing the solution from a set of already made associations. An example of artificial painter is described in some experimentations by using a robotic platform.

show abstract

OpenPsi: Realizing Dörner’s “Psi” Cognitive Model in the OpenCog Integrative AGI Architecture

Cited by 7 publications

References 3 publications

Robotic Creativity Driven by Motivation and Semantic Analysis

Robotic Creativity Driven by Motivation and Semantic Analysis

A Personal Intelligent Coach for Smart Embodied Learning Environments

Artwork creation by a cognitive architecture integrating computational creativity and dual process approaches

Contact Info

Product

Resources

About