Intrinsic Motivation for Truly Autonomous Agents

Sun, Ron

doi:10.1007/978-3-319-64816-3_15

Cited by 4 publications

(1 citation statement)

References 48 publications

(75 reference statements)

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“…With a resolution on cognitive mechanisms beneath the lower bounds of their evolutionary framework, however, Sun's trademark Clarion computational architecture also resolves cognition at levels of organization overlapping in part with Tani et al's focus on fundamental neurodynamics, for example attending to social autonomy and emotion among other psychological constructs (cf. Sun 2002Sun , 2009Sun , 2013Sun , 2016Sun , 2017Sun , 2018aSun and Naveh 2004;Sun et al 2016).…”

Section: Sun's Cognitive Social Sciencesmentioning

confidence: 99%

The role of robotics and AI in technologically mediated human evolution: a constructive proposal

White

2019

AI & Soc

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This paper proposes that existing computational modeling research programs may be combined into platforms for the information of public policy. The main idea is that computational models at select levels of organization may be integrated in natural terms describing biological cognition, thereby normalizing a platform for predictive simulations able to account for both human and environmental costs associated with different action plans and institutional arrangements over short and long time spans while minimizing computational requirements. Building from established research programs, the proposal aims to take advantage of current momentum in the direction of the integration of the cognitive with social and natural sciences, reduce start-up costs and increase speed of development. These are all important upshots given rising unease over the potential for AI and related technologies to shape the world going forward.

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Section: Sun's Cognitive Social Sciencesmentioning

confidence: 99%

The role of robotics and AI in technologically mediated human evolution: a constructive proposal

White

2019

AI & Soc

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When Extrinsic Payoffs Meet Intrinsic Expectations

Chhabra

Sama

Deshmukh

et al. 2023

Lecture Notes in Computer Science

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A Cognitive Processing Framework for Media Interpretation

Ewoldsen

Hoewe

Grady

2022

Journal of Media Psychology

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Abstract. The same media content can be interpreted by different people in radically different ways. We propose a framework that considers both the cognitive processes and the associated mental representations implicated in the interpretation of media content. The foundation of this argument stems from a constraint satisfaction approach to coherence, and it explains the dynamic relationship between media content and media consumers’ processing and interpreting of that content. By integrating parallel constraint satisfaction and coherence with reflective imaginative involvement, we present an explanation of how people interpret media stories and how they may engage with these stories in the future. We believe this framework has significant implications for media scholars interested in message processing and effects.

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Intrinsic Motivation for Truly Autonomous Agents

Cited by 4 publications

References 48 publications

The role of robotics and AI in technologically mediated human evolution: a constructive proposal

The role of robotics and AI in technologically mediated human evolution: a constructive proposal

When Extrinsic Payoffs Meet Intrinsic Expectations

A Cognitive Processing Framework for Media Interpretation

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