| Asimovian adaptive agents | 16 | 1.38 | 2011 |
| Using scouts to predict swarm success rate | 1 | 0.37 | 2008 |
| Formal Approaches to Agent-Based Systems, Second International Workshop, FAABS 2002, Greenbelt, MD, USA, October 29-31, 2002, Revised Papers | 32 | 4.46 | 2003 |
| Asimov's Laws: Current Progress | 0 | 0.34 | 2002 |
| Analysis of a Phase Transition in a Physics-Based Multiagent System | 14 | 1.47 | 2002 |
| Formal Modeling and Supervisory Control of Reconfigurable Robot Teams | 1 | 0.49 | 2002 |
| Supervision Of Multiple-Robot Systems | 3 | 0.61 | 2001 |
| Formal Approaches to Agent-Based Systems, First International Workshop, FAABS 2000 Greenbelt, MD, USA, April 5-7, 2000, Revised Papers | 33 | 6.07 | 2001 |
| APT Agents: Agents That Are Adaptive, Predictable, and Timely | 6 | 0.59 | 2000 |
| Panel Discussion: Empirical versus Formal Methods | 0 | 0.34 | 2000 |
| Evolving Finite-State Machine Strategies for Protecting Resources | 11 | 0.93 | 2000 |
| Adaptive Supervisory Control of Multi-agent Systems | 3 | 0.54 | 2000 |
| Panel Discussion: Future Directions | 0 | 0.34 | 2000 |
| Well-Behaved Borgs, Bolos, and Berserkers | 4 | 0.53 | 1998 |
| For Every Generalization Action, Is There Really an Equal and Opposite Reaction? | 4 | 0.60 | 1995 |
| Evaluation and Selection of Biases in Machine Learning | 45 | 5.29 | 1995 |
| Using Markov Chains to Analyze GAFOs | 44 | 4.54 | 1994 |
| A Multistrategy Learning Scheme for Agent Knowledge Acquisition | 21 | 3.25 | 1993 |
| Using Genetic Algorithms for Concept Learning | 246 | 20.72 | 1993 |
| AN ENHANCER FOR REACTIVE PLANS | 5 | 1.20 | 1991 |
| Improving the Comprehensibility, Accuracy, and Generality of Reactive Plans | 0 | 0.34 | 1991 |
| Explanations of empirically derived reactive plans | 13 | 15.13 | 1990 |
| Screening hypotheses with explicit bias | 0 | 0.34 | 1989 |
| Using cautious heuristics to bias generlization and guide example section | 0 | 0.34 | 1988 |
