Information-theoretic Cost of Decision-making in Joint Action

We investigate the information processing cost relative to utility, associated with joint action in dyadic decision-making. Our approach, built on the Relevant Information formalism, combines Shannon’s Information Theory and Markov Decision Processes for modelling dyadic interaction, where two agents with independent controllers move an object together with fully redundant control in a grid world. Results show that increasing collaboration relaxes the pressure on required information intake and vice versa, antagonistic behavior takes a higher toll on information bandwidth. In this trade-off the particular embodiment of the environment plays a key role, demonstrated in simulations with informationally parsimonious optimal controllers.

• Publication year

  2021

• Venue

  International Conference on Agents and Artificial Intelligence

• Publication date

  Unknown publication date

• Fields of study

  Computer Science

• Identifiers
  DOI 10.5220/0010252303040311
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• A Study of Joint Policies Considering Bottlenecks and Fairness

  2019cited by this paper
• Complexity Measures: Open Questions and Novel Opportunities in the Automatic Design and Analysis of Robot Swarms

  2019cited by this paper
• Inform: Efficient Information-Theoretic Analysis of Collective Behaviors

  2018cited by this paper
• Transfer of Information in Collective Decisions by Artificial Agents

  2018cited by this paper
• Optimal information transfer and stochastic resonance in collective decision making

  2017cited by this paper
• Quantifying Collaboration with a Co-Creative Drawing Agent

  2017cited by this paper
• Analysis of Pairwise Interactions in a Maximum Likelihood Sense to Identify Leaders in a Group

  2017cited by this paper
• Model-free information-theoretic approach to infer leadership in pairs of zebrafish.

  2016cited by this paper
• A Trust-based Decision-making Approach Applied to Agents in Collaborative Environments

  2016cited by this paper
• New scaling relation for information transfer in biological networks

  2015cited by this paper
• Approximations of algorithmic and structural complexity validate cognitive-behavioral experimental results

  2015cited by this paper
• Re-membering the body: applications of computational neuroscience to the top-down control of regeneration of limbs and other complex organs.

  2015cited by this paper
• Thermodynamics as a theory of decision-making with information-processing costs

  2012cited by this paper
• Evolutionary Transitions and Top-Down Causation

  2012cited by this paper
• The local information dynamics of distributed computation in complex systems

  2012cited by this paper
• Information processing in echo state networks at the edge of chaos

  2011cited by this paper
• Self-organised path formation in a swarm of robots

  2011cited by this paper
• Information Theory of Decisions and Actions

  2011cited by this paper
• TRENTOOL: A Matlab open source toolbox to analyse information flow in time series data with transfer entropy

  2011cited by this paper
• The free-energy principle: a unified brain theory?

  2010cited by this paper
• Two Agents Acting as One

  2010cited by this paper
• Dynamics of Decision Making in Animal Group Motion

  2009cited by this paper
• Sensitivity to social contingency or stability of interaction? Modelling the dynamics of perceptual crossing

  2008cited by this paper
• Emergence of Interaction among Adaptive Agents

  2008cited by this paper
• Representations of Space and Time in the Maximization of Information Flow in the Perception-Action Loop

  2007cited by this paper
• Turn-taking interaction as a cooperative and co-creative process.

  2007cited by this paper
• Relevant information in optimized persistence vs. progeny strategies

  2006influential reference
• SILENT AGENTS: From Observation to Tacit Communication

  2006cited by this paper
• How Information and Embodiment Shape Intelligent Information Processing

  2006cited by this paper
• A Mathematical Theory of Communication

  2006cited by this paper
• Effective leadership and decision-making in animal groups on the move

  2005influential reference
• Computational models of collective behavior.

  2005cited by this paper
• “Imitation of life: how biology is inspiring computing” by Nancy Forbes

  2004cited by this paper
• Information flow, opinion polling and collective intelligence in house-hunting social insects.

  2002cited by this paper
• KEIDERLING correlations to and predictions of protein secondary structure vibrational and electronic circular dichroism spectra in terms of Comparison of and limits of accuracy for statistical analyses of data

  2002cited by this paper
• Energy as a constraint on the coding and processing of sensory information.

  2001cited by this paper
• Ò Áòòóöññøøóò¹ìììóööøø Ôôöóó Óö Øøø Éùùòøø¬ Blockin Blockinøøóò Óó Êêððúò Òòòð Èóððòò¸ììóññ× Ååöøøòòøþ¸òò Ââò Ããñ Áò×øøøùøø Óö Aeaeùöó¹ Òò Óóòòóöññøø Blockin׸íòòúö××øý Óó Ä Ùù Blockin¸ Öññòý

  2001cited by this paper
• The information bottleneck method

  2000cited by this paper
• Information Bottlenecks, Causal States, and Statistical Relevance Bases: How to Represent Relevant Information in memoryless transduction

  2000cited by this paper
• Measuring information transfer

  2000cited by this paper
• Between MDPs and Semi-MDPs: A Framework for Temporal Abstraction in Reinforcement Learning

  1999cited by this paper
• Information-theoretic limits of control

  1999cited by this paper
• Emergence of cooperation and organization in an evolutionary game

  1997cited by this paper
• The dynamics of collective sorting robot-like ants and ant-like robots

  1991cited by this paper
• Computation of channel capacity and rate-distortion functions

  1972cited by this paper
• An Introduction to Cybernetics

  1957cited by this paper

• No citing papers are available for this paper.