the proceedings contain 20 papers. the topics discussed include: planning for interactions among autonomous agents;exploring heuristic action selection in agentprogramming;programming verifiable heterogeneous agent s...
ISBN:
(纸本)364203277X
the proceedings contain 20 papers. the topics discussed include: planning for interactions among autonomous agents;exploring heuristic action selection in agentprogramming;programming verifiable heterogeneous agentsystems;Orwell's nightmare for agents? programmingmulti-agent organisations;Jazzyk: a programming language for hybrid agents with heterogeneous knowledge representations;PRESAGE: a programming environment for the simulation of agent societies;an organisational platform for holonic and multiagentsystems;a complete-computerised Delphi process with a multi-agent system;how situated is your agent? a cognitive perspective;an awareness model for agents in heterogeneous environments;infrastructure for forensic analysis of multi-agentsystems;Toolipse: an IDE for development of JIAC applications;Kerberos-based secure multiagent platform;herding agents - JIAC TNG in multi-agentprogramming contest 2008;and on herding artificial cows: using Jadex to coordinate cowboy agents.
the proceedings contain 17 papers. the topics discussed include: programmingmultiagentsystems without programmingagents;elements of a business-level architecture for multiagentsystems;a computational semantics for...
ISBN:
(纸本)3642148425
the proceedings contain 17 papers. the topics discussed include: programmingmultiagentsystems without programmingagents;elements of a business-level architecture for multiagentsystems;a computational semantics for communicating rational agents based on mental models;multi-agentsystems: modeling and verification using hybrid automata;probabilistic behavioral state machines;a middleware for modeling organizations and roles in jade;an open architecture for service-oriented virtual organizations;formalizing the environment in MAS programming: a formal model for artifact-based environments;space-time diagram generation for profiling multiagentsystems;infrastructure for forensic analysis of multi-agent based simulations;modularity and compositionality in Jason;a multiagent system for monitoring boats in marine reserves;and agent-oriented control in real-time computer games.
the proceedings contain 8 papers. the topics discussed include: towards simulation-aided design of multi-agentsystems;reinforcement learning as heuristic for action-rule preferences;towards reasoning with partial goa...
ISBN:
(纸本)9783642289385
the proceedings contain 8 papers. the topics discussed include: towards simulation-aided design of multi-agentsystems;reinforcement learning as heuristic for action-rule preferences;towards reasoning with partial goal satisfaction in intelligent agents;evaluating agent-oriented programs: towards multi-paradigm metrics;atomic intentions in Jason+;software support for organized adaptation;action and perception in agentprogramming languages: from exogenous to endogenous environments;and an interface for agent-environment interaction.
the proceedings contain 13 papers. the topics discussed include: logical foundations for a rational BDI agentprogramming language;relating goal and commitment semantics;developing a knowledge management multi-agent s...
ISBN:
(纸本)9783642319143
the proceedings contain 13 papers. the topics discussed include: logical foundations for a rational BDI agentprogramming language;relating goal and commitment semantics;developing a knowledge management multi-agent system using JaCaMo;notes on pragmatic agent-programming with Jason;integrating expectation monitoring into BDI agents;abstraction for model checking modular interpreted systems over ATL;MAS: qualitative and quantitative reasoning;state space reduction for model checking agent programs;HactarV2: an agent team strategy based on implicit coordination;implementing a multi-agent system in python with an auction-based agreement approach;bogtrotters in space;and a GAIA-driven approach for competitive multi-agentsystems.
the proceedings contain 14 papers. the topics discussed include: persistent architecture for context aware lightweight multi-agent system;comparing apples with oranges: evaluating twelve paradigms of agency;augmenting...
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ISBN:
(纸本)9783540719557
the proceedings contain 14 papers. the topics discussed include: persistent architecture for context aware lightweight multi-agent system;comparing apples with oranges: evaluating twelve paradigms of agency;augmenting BDI agents with deliberative planning techniques;ALBA: a generic library for programming mobile agents with Prolog;bridging agenttheory and object orientation: agent-like communication among objects;adding knowledge updates to 3APL;validation of BDI agents;a tool architecture to verify properties of multiagent system at runtime;on the application of clustering techniques to support debugging large-scale multi-agentsystems;and debugging agents in agent factory.
In nature, active inference agents must learn how observations of the world represent the state of the agent. In engineering, the physics behind sensors is often known reasonably accurately and measurement functions c...
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ISBN:
(纸本)9783031771378;9783031771385
In nature, active inference agents must learn how observations of the world represent the state of the agent. In engineering, the physics behind sensors is often known reasonably accurately and measurement functions can be incorporated into generative models. When a measurement function is non-linear, the transformed variable is typically approximated with a Gaussian distribution to ensure tractable inference. We show that Gaussian approximations that are sensitive to the curvature of the measurement function, such as a second-order Taylor approximation, produce a state-dependent ambiguity term. this induces a preference over states, based on how accurately the state can be inferred from the observation. We demonstrate this preference with a robot navigation experiment where agents plan trajectories.
the widespread integration of renewable energy presents significant challenges for power system scheduling. Traditional power system scheduling is mainly based on the concept of "coordinating on a multi-time-leve...
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the proceedings contain 49 papers. the special focus in this conference is on Formal and informal tools concepts and techniques. the topics include: A vision for multi-agentsystemsprogramming;programming software ag...
ISBN:
(纸本)354022856X
the proceedings contain 49 papers. the special focus in this conference is on Formal and informal tools concepts and techniques. the topics include: A vision for multi-agentsystemsprogramming;programming software agents as designing executable business processes;verifiable multi-agent programs;a computational language for autonomous, intelligent and mobile agents;a programming language for cognitive agents goal directed 3APL;team oriented programming and proxy agents: the next generation;developing agent interaction protocols using graphical and logical methodologies;norm adoption and consistency in the NoA agent architecture;a tool for integrated design and implementation of conversations in multiagentsystems and a method to increase tracability in MAS development.
An open problem in artificial intelligence is how systems can flexibly learn discrete abstractions that are useful for solving inherently continuous problems. Previous work in computational neuroscience has considered...
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ISBN:
(纸本)9783031771378;9783031771385
An open problem in artificial intelligence is how systems can flexibly learn discrete abstractions that are useful for solving inherently continuous problems. Previous work in computational neuroscience has considered this functional integration of discrete and continuous variables during decision-making under the formalism of active inference [13,29]. However, their focus is on the expressive physical implementation of categorical decisions and the hierarchical mixed generative model is assumed to be known. As a consequence, it is unclear how this framework might be extended to the learning of appropriate coarse-grained variables for a given task. In light of this, we present a novel hierarchical hybrid active inference agent in which a high-level discrete active inference planner sits above a low-level continuous active inference controller. We make use of recent work in recurrent switching linear dynamical systems (rSLDS) which learn meaningful discrete representations of complex continuous dynamics via piecewise linear decomposition [22]. the representations learnt by the rSLDS inform the structure of the hybrid decision-making agent and allow us to (1) lift decision-making into the discrete domain enabling us to exploit information-theoretic exploration bonuses (2) specify temporally-abstracted sub-goals in a method reminiscent of the options framework [34] and (3) 'cache' the approximate solutions to low-level problems in the discrete planner. We apply our model to the sparse Continuous Mountain Car task, demonstrating fast system identification via enhanced exploration and successful planning through the delineation of abstract sub-goals.
Withthe increasing integration of AGVs (Automated Guided Vehicles) and Robot Arms in manufacturing systems, traditional scheduling approaches that handle them separately often lead to inefficiencies and poor coordina...
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