Introduction to Multiagent Systems
Introduction to Multiagent Systems
On the Use of Multi-dimensional Dynamic Logic Programming to Represent Societal Agents' Viewpoints
EPIA '01 Proceedings of the10th Portuguese Conference on Artificial Intelligence on Progress in Artificial Intelligence, Knowledge Extraction, Multi-agent Systems, Logic Programming and Constraint Solving
Generalizing Updates: From Models to Programs
LPKR '97 Selected papers from the Third International Workshop on Logic Programming and Knowledge Representation
Intentional Agents and Goal Formation
ATAL '97 Proceedings of the 4th International Workshop on Intelligent Agents IV, Agent Theories, Architectures, and Languages
Agent Programming with Declarative Goals
ATAL '00 Proceedings of the 7th International Workshop on Intelligent Agents VII. Agent Theories Architectures and Languages
MINERVA - A Dynamic Logic Programming Agent Architecture
ATAL '01 Revised Papers from the 8th International Workshop on Intelligent Agents VIII
Semantics of declarative goals in agent programming
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Detecting & avoiding interference between goals in intelligent agents
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Adding knowledge updates to 3APL
ProMAS'06 Proceedings of the 4th international conference on Programming multi-agent systems
Dynamics of declarative goals in agent programming
DALT'04 Proceedings of the Second international conference on Declarative Agent Languages and Technologies
Goals in agent systems: a unifying framework
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 2
Goals in conflict: semantic foundations of goals in agent programming
Autonomous Agents and Multi-Agent Systems
Strategic Agent Communication: An Argumentation-Driven Approach
Declarative Agent Languages and Technologies VI
Adding evolving abilities to a multi-agent system
CLIMA VII'06 Proceedings of the 7th international conference on Computational logic in multi-agent systems
Adding knowledge updates to 3APL
ProMAS'06 Proceedings of the 4th international conference on Programming multi-agent systems
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Goals are used to define the behavior of (pro-active) agents. It is our view that the goals of an agent can be seen as a knowledge base of the situations that it wants to achieve. It is therefore in a natural way that we use Dynamic Logic Programming (DLP), an extension of Answer-Set Programming that allows for the representation of knowledge that changes with time, to represent the goals of the agent and their evolution, in a simple, declarative, fashion. In this paper, we represent agent's goals as a DLP, discuss and show how to represent some situations where the agent should adopt or drop goals, and investigate some properties that emerge from using such representation.