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Since their inception, Multi Agent Systems (MASs) have been championed as asolution for the increasing problem of software complexity. Communities ofdistributed autonomous computing entities that are capable of collaborating,negotiating and acting to solve complex organisational and system managementproblems are an attractive proposition. Central to this is the requirement foragents to possess the capability of interacting with one another in astructured, consistent and organised manner.  This thesis presents the Agent Conversation Reasoning Engine (ACRE), whichconstitutes a holistic view of communication management for MASs. ACRE isintended to facilitate the practical development, debugging and deployment ofcommunication-heavy MASs.  ACRE has been formally defined in terms of its operational semantics, and ageneric architecture has been proposed to facilitate its integration with awide variety of diverse agent development frameworks and Agent OrientedProgramming (AOP) languages. A concrete implementation has also been developedthat uses the Agent Factory AOP framework as its base. This allows ACRE to beused with a number of different AOP languages, while providing a referenceimplementation that other integrations can be modelled upon. A standard is alsoproposed for the modelling and sharing of agent-focused interaction protocolsthat is independent of the platform within which a concrete ACRE implementationis run.  Finally, a user evaluation illustrates the benefits of incorporatingconversation management into agent programming.

Internalising Interaction Protocols as First-Class Programming Elements in Multi Agent Systems