Egocentric AI Processing for Computer Entertainment: A Real-Time Process Manager for Games. - Ian Wright; James A. R. Marshall (GAME-ON, 2000)

RC++ A Rule Based Language for Game AI. - Ian Wright; James A. R. Marshall (GAME-ON, 2000)

Simulating the Evolution of Ant Behaviour in Evaluating Nest Sites. - James A. R. Marshall; Tim Kovacs; Anna R. Dornhaus; Nigel R. Franks (ECAL, 2003)

Viscous Populations and Their Support for Reciprocal Cooperation. - James A. R. Marshall; Jonathan E. Rowe (Artif. Life, 2003)

On the suitability of the 2 x 2 games for studying reciprocal cooperation and kin selection - James A. R. Marshall (CoRR, 2003)

The execution kernel of RC++: RETE*, a faster RETE with TREAT as a special case. - Ian Wright; James A. R. Marshall (Int. J. Intell. Games Simul., 2003)

Conflicting Agents: Conflict Management in Multi-Agent Systems Edited by Catherine Tessier, Laurent Chaudron and Hans-Jürgen Müller. - James A. R. Marshall (J. Artif. Soc. Soc. Simul., 2003)

The Structure of Evolutionary Theory by Stephen Jay Gould. - James A. R. Marshall (Artif. Life, 2004)

What Have Gene Libraries Done for AIS? - Steve Cayzer; Jim Smith 002; James A. R. Marshall; Tim Kovacs (ICARIS, 2005)

A representational ecology for learning classifier systems. - James A. R. Marshall; Tim Kovacs (GECCO, 2006)

UCSpv: principled voting in UCS rule populations. - Gavin Brown 001; Tim Kovacs; James A. R. Marshall (GECCO, 2007)

Bayesian estimation of rule accuracy in UCS. - James A. R. Marshall; Gavin Brown 001; Tim Kovacs (GECCO (Companion), 2007)

Moving targets: collective decisions and flexible choices in house-hunting ants. - Nigel R. Franks; James W. Hooper; Mike Gumn; Tamsyn H. Bridger; James A. R. Marshall; Roderich Groß (Swarm Intell., 2007)

Mammalian decisions. - Pete Trimmer; John McNamara; Alasdair Houston; James A. R. Marshall; Liz Paul; Rafal Bogacz; Mike Mendl (ALIFE, 2008)

Modeling UCS as a mixture of experts. - Narayanan Unny Edakunni; Tim Kovacs; Gavin Brown 001; James A. R. Marshall (GECCO, 2009)

Beyond No Free Lunch: Realistic algorithms for arbitrary problem classes. - James A. R. Marshall; Thomas Glyn Hinton (IEEE Congress on Evolutionary Computation, 2010)

Optimal Voting in Groups with Convergent Interests. - James A. R. Marshall (AAAI Spring Symposium: Modeling Complex Adaptive Systems as if They Were Voting Processes, 2011)

Swarm Cognition: an interdisciplinary approach to the study of self-organising biological collectives. - Vito Trianni; Elio Tuci; Kevin M. Passino; James A. R. Marshall (Swarm Intell., 2011)

Some Computational Aspects of Essential Properties of Evolution and Life - Hector Zenil; James A. R. Marshall (CoRR, 2012)

Life as Thermodynamic Evidence of Algorithmic Structure in Natural Environments. - Héctor Zenil; Carlos Gershenson; James A. R. Marshall; David A. Rosenblueth (Entropy, 2012)

The Green Brain Project - Developing a Neuromimetic Robotic Honeybee. - Alex Cope; Chelsea Sabo; Esin Yavuz; Kevin N. Gurney; James A. R. Marshall; Thomas Nowotny; Eleni Vasilaki (Living Machines, 2013)

Ubiquity symposium: Evolutionary computation and the processes of life: some computational aspects of essential properties of evolution and life. - Hector Zenil; James A. R. Marshall (Ubiquity, 2013)

Approximations of Algorithmic and Structural Complexity Validate Cognitive-behavioural Experimental Results. - Hector Zenil; James A. R. Marshall; Jesper Tegnér (CoRR, 2015)

Choice magnitude and decision time: investigating magnitude sensitivity in value-based decision making. - Angelo Pirrone; Philip Pärnamets; James A. R. Marshall; Tom Stafford 002 (CogSci, 2016)

Effects of Spatiality on Value-Sensitive Decisions Made by Robot Swarms. - Andreagiovanni Reina; Thomas Bose; Vito Trianni; James A. R. Marshall (DARS, 2016)

A Model for an Angular Velocity-Tuned Motion Detector Accounting for Deviations in the Corridor-Centering Response of the Bee. - Alex J. Cope; Chelsea Sabo; Kevin N. Gurney; Eleni Vasilaki; James A. R. Marshall (PLoS Comput. Biol., 2016)

An inexpensive flying robot design for embodied robotics research. - Chelsea Sabo; Esin Yavuz; Alex Cope; Kevin Gumey; Eleni Vasilaki; Thomas Nowotny; James A. R. Marshall (IJCNN, 2017)

A Drift Diffusion Model Account of the Semantic Congruity Effect in a Classification Paradigm. - Angelo Pirrone; James A. R. Marshall; Tom Stafford 002 (J. Numer. Cogn., 2017)

ARK: Augmented Reality for Kilobots. - Andreagiovanni Reina; Alex J. Cope; Eleftherios Nikolaidis; James A. R. Marshall; Chelsea Sabo (IEEE Robotics Autom. Lett., 2017)

Quality-Sensitive Foraging by a Robot Swarm Through Virtual Pheromone Trails. - Anna Font Llenas; Mohamed S. Talamali; Xu Xu 005; James A. R. Marshall; Andreagiovanni Reina (ANTS Conference, 2018)

Simulating Kilobots Within ARGoS: Models and Experimental Validation. - Carlo Pinciroli; Mohamed S. Talamali; Andreagiovanni Reina; James A. R. Marshall; Vito Trianni (ANTS Conference, 2018)

Abstract concept learning in a simple neural network inspired by the insect brain. - Alex J. Cope; Eleni Vasilaki; Dorian Minors; Chelsea Sabo; James A. R. Marshall; Andrew B. Barron (PLoS Comput. Biol., 2018)

Improving collective decision accuracy via time-varying cross-inhibition. - Mohamed S. Talamali; James A. R. Marshall; Thomas Bose; Andreagiovanni Reina (ICRA, 2019)

MiniBee: A Minature MAV for the Biomimetic Embodiment of Insect Brain Models. - Alex J. Cope; Ali Ahmed; Fadl Isa; James A. R. Marshall (Living Machines, 2019)

Robots as Actors in a Film: No War, A Robot Story. - Andreagiovanni Reina; Viktor Ioannou; Junjin Chen; Lu Lu; Charles Kent; James A. R. Marshall (CoRR, 2019)

A decentralized algorithm for network node counting. - Arindam Saha; James A. R. Marshall; Andreagiovanni Reina (CoRR, 2019)

Inhibition and Excitation Shape Activity Selection: Effect of Oscillations in a Decision-Making Circuit. - Thomas Bose; Andreagiovanni Reina; James A. R. Marshall (Neural Comput., 2019)

Sophisticated collective foraging with minimalist agents: a swarm robotics test. - Mohamed S. Talamali; Thomas Bose; Matthew Haire; Xu Xu 005; James A. R. Marshall; Andreagiovanni Reina (Swarm Intell., 2020)

Better tired than lost: Turtle ant trail networks favor coherence over short edges. - Arjun Chandrasekhar; James A. R. Marshall; Cortnea Austin; Saket Navlakha; Deborah M. Gordon (PLoS Comput. Biol., 2021)

When less is more: Robot swarms adapt better to changes with constrained communication. - Mohamed S. Talamali; Arindam Saha; James A. R. Marshall; Andreagiovanni Reina (Sci. Robotics, 2021)

Approximations of algorithmic and structural complexity validate cognitive-behavioral experimental results. - Hector Zenil; James A. R. Marshall; Jesper Tegnér (Frontiers Comput. Neurosci., 2022)

Negative feedback may suppress variation to improve collective foraging performance. - Andreagiovanni Reina; James A. R. Marshall (PLoS Comput. Biol., 2022)

Insect-inspired AI for autonomous robots. - Guido C. H. E. de Croon; Julien Dupeyroux; Sawyer B. Fuller; James A. R. Marshall (Sci. Robotics, 2022)

Magnitude-sensitive reaction times reveal non-linear time costs in multi-alternative decision-making. - James A. R. Marshall; Andreagiovanni Reina; Célia Hay; Audrey Dussutour; Angelo Pirrone (PLoS Comput. Biol., 2022)

Are Transformers Truly Foundational for Robotics? - James A. R. Marshall; Andrew B. Barron (CoRR, 2024)