As intelligent autonomous agents and multiagent system applications become more pervasive, it becomes increasingly important to understand the risks associated with using these systems. Incorrect or inappropriate agent behavior can have harmful - fects, including financial cost, loss of data, and injury to humans or systems. For - ample, NASA has proposed missions where multiagent systems, working in space or on other planets, will need to do their own reasoning about safety issues that concern not only themselves but also that of their mission. Likewise, industry is interested in agent systems that can search for new supply opportunities and engage in (semi-) automated negotiations over new supply contracts. These systems should be able to securely negotiate such arrangements and decide which credentials can be requested and which credentials may be disclosed. Such systems may encounter environments that are only partially understood and where they must learn for themselves which aspects of their environment are safe and which are dangerous. Thus, security and safety are two central issues when developing and deploying such systems. We refer to a multiagent system’s security as the ability of the system to deal with threats that are intentionally caused by other intelligent agents and/or s- tems, and the system’s safety as its ability to deal with any other threats to its goals.

Table of Contents:
Methodological Approaches to High-Assurance Systems.- Towards Safe Coordination in Multi-agent Systems.- Enhancing Secure Tropos to Effectively Deal with Security Requirements in the Development of Multiagent Systems.- Dependable Multi-agent Systems: Layered Reference Architecture and Representative Mechanisms.- Towards Using Simulation to Evaluate Safety Policy for Systems of Systems.- A Guardian Agent Approach to Safety in Medical Multi-agent Systems.- A Distributed Numerical Approach for Managing Uncertainty in Large-Scale Multi-agent Systems.- Prevention and Response to Harm/Failures.- The First Law of Robotics.- Safe Stochastic Planning: Planning to Avoid Fatal States.- Building Coordinated Real-Time Control Plans.- A Framework for Goal-Based Semantic Compensation in Agent Systems.- Safe Agents in Space: Preventing and Responding to Anomalies in the Autonomous Sciencecraft Experiment.- Stochastic Approaches to Predictability and Unpredictability.- Uncertain Agent Verification through Probabilistic Model-Checking.- Safety and Security Multi-agent Systems.- Coordinating Randomized Policies for Increasing Security in Multiagent Systems.- Safety and Security in Human-Computer Interactions.- Safety in the Context of Coordination via Adjustable Autonomy.- Command and Authorization Services for Multiple Humans Interacting with a Software Control Agent for Advanced Life Support.- Analyzing Dangers in Multiagent Rescue Using DEFACTO.- Using Multi-agent Systems to Specify Safe and Secure Services for Virtual Organisations.- MLBPR: MAS for Large-Scale Biometric Pattern Recognition.- Self-Protection.- Intentional Agents in Defense.- Security and Privacy Issues in Agent-Based Location-Aware Mobile Commerce.- Biologically-Inspired Concepts for Autonomic Self-protection in Multiagent Systems.- Erratum to: Fluid-Like Swarms with Predictable Macroscopic Behavior.